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Segment 1 (00:00 - 05:00)
N8N full course 8 hours learn how to build and automate anything. Well, today I'm going to show you the complete N8N course that will teach you how to build and automate anything in your business. This is the same system I use to save over 100 hours every month. We're talking about creating AI avatars that make videos for you, building browser agents that shop on Amazon while you sleep, and even automating entire podcast production from start to finish. By the end of this, you'll have everything you need to automate your business and scale like crazy. This is going to change everything for you. These new Google AI avatars are absolutely insane. So, what I'm going to show you is how I created this avatar using Google's new systems. Let me show you exactly how it works. So, this is the video that we're going to play. And I'm just going to remove the cancellation. Here we go. All right. Let's play this back. — Sharing this has been a journey, but look, my skin feels so much better now. So, basically, we've got an AI avatar generated with Google. We've got background music inside the video. We've got kind of like UGC style content where, you know, she's vlogging away and she's talking directly to the camera. And this was all automated in one single click using this system, which I've actually given away for free as a template inside the AI money lab. Completely free. Grab the JSON files right there. Boom. Shakalaka, you can get access to it. And exactly how this works step by step is we have taken an image from Google's new nano banana update which you can see right here. So we're using Google nano banana which is completely free actually to access if you want to get access to it. And essentially when you're doing this you can then go into N10 and you can use this workflow to actually generate a video in a couple of clicks and it's really simple and easy to set up. Right. So you can see here, for example, we've actually got the brand asset input, which I'll show you in a second. I'll show you how this workflow works. That's going to send it over to Google Drive. From there, we have a brand strategy agent, a creative director, and a production specialist. These are all AI agents that are going to come up with the script and the style of the video, etc., based on the image we input into the workflow. That's going to generate a video. Then we're going to send that over to Google Drive and upload it. Like you can see over here this actually directed on Google Drive. So let me show you how this works right step by step from the beginning. We'll test it out now. So essentially what we're going to do over here is we are going to go into Nana Banana. We can just say okay create a vlog style UGC image of a I don't know a woman advertising a yoga mat something like that first person vlog from the phone authentic real amateur style video right something like that so we're going to create that image right now and you can do that inside nano banana. Now, the good thing about Nano Banana is it's probably the fastest and easiest way to generate images. And these images are very lifelike. You know, for example, like if you look at this image, most people on the internet are not going to be able to tell that is an actual AI, right? There's not a real person, for example. And so, we're going to generate that. Now, you can see over here, I'm going to say, okay, remove the phone, etc. should feel less, you know, you want it to feel more authentic. So, it should feel more authentic slashre like UGC content 5G. No filters, no color gradients, etc. Just a woman blogging from her phone, but you can't see the phone. All right. And then basically we can generate UGC images like you can see over here. The other way you could do this is you could just take an UGC image you actually like and then you could go over to Gemini Nana Banana and you could say okay create images paste that image in of the UGC style that you like and just say recreate this but a man something like that right and then you could have a man who's actually doing the same process. All right. So, for example, you can see here we've got another example or you can change the product. So, if you have a specific product in mind, you can go straight there. John says where to generate super realistic straight on head shot. So, like you see right here, you can do this directly on Gemini. All right. In fact, what I'll do if you want to use this as a base template, let me go inside the AI money lab and you can just download the image for your prompts right here. And then you can say, okay, create the male version of this or whatever. So
Segment 2 (05:00 - 10:00)
we've got the headsh shot straight on right there. And then we can take an image like that. Generate this image. We're going to save that now. Then, we're going to go over to our NA10 workflow like you can see over here. And we're going to click on execute workflow. Right. This is going to pop up an image that we can upload with a campaign brief and a target mood for our avatar video. So, for example, if we click on here and we're going to click choose file, we'll upload that image that we just generated. Here we go. All right. So, we've got that good to go. And then we've uploaded that right here. From there, what we're going to do is do the campaign brief. So, for example, we can now say, right, UGC style video of a man blogging about skincare product, right? And then inside the target mood, we can say, okay, positive, good vibes, UGC plus super realistic video. All right. And then we can say how it's changed his life. Something like that. We're going to hit submit like so. And that's going to start running the workflow. Right. So if we X off that, you can see it's now running through the brand strategy agent. That's going to go to the creative director. And then we're going to send that over to the production specialist. These are all built with custom prompts. And then that's going to send it over to FA to generate the video with Google's VO3. Now what we have over here is a workflow that's triggered by a web hook that will get the video once this has been generated from foul. Right? So you can see how it's waiting for the trigger event. And so basically once this has finished generating the video, it's going to trigger a web hook that will then validate the generation, download the video, and upload it to Google Drive for us. So we can basically take an image, create an avatar video, custom script it with our three AI agents that are going to edit it and come up with the script and everything else. That's going to send it over to FA and then FA is going to use this to generate and download the video, right? And then it uploads it automatically to Google Drive as well, which is awesome. So, super easy. And if you want to get the template, so Dio says to have the template, I have to be inside the community. Free community, right? AI money lag lab link in the comments description. If you can't find, ask chat GPT or ask Google. And basically inside there completely for free you will find the template like so right. So if you go to the AI money lab free community go to the classroom scroll down to NA10 automation templates you will find the Google avatars automation workflow right here. So if you want to steal this stuff from me you can and it's not going to cost you anything. All right. So this is basically how you can use it step by step to generate those AI avatars. I do actually have another version that's kind of more polished, right? So, I know some people want more like polished media style videos for an actual brand and that sort of thing. So, if we have a look at this one, this is another version. Let's have a look at this. We're just going to click view on. And if we go to executions, we can see previous workflows we've generated. — So, this is another one. This is kind of like a more polished version. Let me pull this up right here. So, let's play this back. — Hey guys. So, a lot of you have been asking about my skinare routine, — right? So, you can see how it's generated the avatar again, but this is kind of more of a polished style. It's less authentic. So, it depends what you want to do and how you want to use it. So, really easy to do this step by step and I've shown you exactly how it works. And whilst waiting for that to load in the background, let me walk you through exactly how it works, right? and what we're doing here and how to set up yourself. So essentially what we first have is a form. So this is an input form where people can basically insert their own information. So for example here inside the brand asset input we have a brand the form is called a brand video creator brand asset file so people can upload it and then we've added a couple of fields here. So for example, you can insert a brand campaign brief with text and you just basically describe like your brand story or idea. Then you can have a target mood with the element of text and basically people can submit the form with their image that they want to animate as an avatar and then that will send it over to Google Drive. Right? So you can see here that we are taking that image, uploading it to Google Drive as a file and calling it a brand asset. Right? So you can see here inside the file name, we have the JSON brand asset file name over here.
Segment 3 (10:00 - 15:00)
Right? Then that's going to send it over to our brand strategy now. If you want to see the male version of the generated output, let me show you this for example. So this is the avatar with a man on the skinare product. So let's play it back. — I used to struggle with my skin, but finding the right routine has given me so much confidence. So you see, you see how it's created like multiple different story lines right there and sort of stitched multiple different scenes together. You can also do that too. Just describe it inside the brand asset input when you're generating these styles. Enthusiastic says, do you know how to get free API to build like this? So you could do this directly inside Gemini and use V3 for APIs. I think there's no free API when it comes to generating videos with AO3 as far as I'm aware. And John says, "I want polish professional spokesperson, not regular person in car blogging, casual site. " Yeah. So, you can use that process I've just shown you. Let me pull up an example of this. Right. So, this is more like professional spokesperson here. So, if we play this back, so you see how that's a lot more professional, kind of like Hollywood style. So, you can have that style, too. They're both inside the AI money lab. So, if you want to grab the avatar cell, the real authentic one, it's there. If you want to grab like a more polished version, there you go. All right. They're both inside the AI money lab completely free. You know, you're not going to pay for that at all. So, from here, once we've uploaded to Google Drive, then we've got this process over here, right? So, we've got, for example, a brand strategy agent. And what we can do from here is we can define below and we've got the prompt like so. So if we open this for full screen analyze this brand asset and create a detailed brand profile is a campaign. Here's the target mood and here's the task. Right? So basically we've assigned a task for them to do the whole process. Now if you look over here we said this is the output right? So this is the input aka the prompt. This is the output. And so if you wanted to test this step, you could, you know, you can test it like so. We'd have to go through the whole workflow again, but you get the point. If you want to see how that works in action, we've got an example over here, right? And then we've got the system message as well. So if we pull this up full screen, let me show you the prompts we've used here. So we got ro brand strategist and visual analyst mission analyze brand assets to extract strategic marketing insights and then we've got the whole framework that it's using right along with a tone. Now if you want like more professional you can put here professional yet creative. If you wanted more UGC style you can edit the tone directly here but essentially this is a really easy process to generate the outputs. Analog says have you seen the new workflow agent for N10? probably being rolled out right now. Not seen that yet, but sounds pretty cool. And then we've got the information being passed from the image to Google Drive to the brand strategy agent. That's going to then send it over to the creative director. And inside this section here, we have another AI agent. Now, bear in mind when we're doing this, we've also got a structured output passer. So you can see here we're taking that information and just structuring it for JSON so we can pass it on to the next part of the process. And then also we're using GPT4 mini. Now you can use whatever AI you want, right? So you don't have to use GPT mini40. You could use chat GPT. You could use a free API if you wanted for the open router AI agents here. We're just using GPT40 because it's fast and it's easy. So then we've got the creative director and you can see here if we pull this up full screen we've said create a cinematic video concept. Now you could change that to create a UGC video concept. So if you whatever style you want you just edit the prompt inside this section. Then it's going to take the outputs from the previous modules along with the campaign brief and the target move that we gave it inside the first section. And we said develop a premium video concept this brand to life through compelling visual storytelling. And again you can change this to like create a UGC video concept or create like a vlog style concept. You don't have to do this. So pretty cool. And then finally we pass on to our production specialist. And the production specialist basically just transforms this into a creative concept and a precise video generation prompt. Right? So, it's taken all the inputs so far, the mood, the style, the target, the creative, the strategy, and then it's going to turn that into a video prompt based on all the previous outputs. It's going to take that original asset URL. So, this is where it pulls the image in. And then we say create a production ready prompt that will generate a compelling brand video, show the character walking, talking, life, whatever. Right now, inside the
Segment 4 (15:00 - 20:00)
system message, so this is like the user prompt, and this is the system message kind of like how it's trained. You can see we've got details on like technical precision, visual clarity, production realism, brand authenticity, output requirements, etc. All right, how to structure the prompt and everything else. So, three different AI agents edit and come up with the ideas before we finally generate the brand video. Now, what you're going to see over here is we are using FA and BO3 fast to generate the outputs. Now, if you've never used FA before, essentially this uses Google's API to generate videos. So, if we go over to Google to FA now, I'll show you what I mean. And we're using Veo3 fast. The reason that we use Veo3 fast is because it's cheaper and it's faster, which means you're going to get better outputs for your avatar videos. So, for example, if we type in Veo 3 over here, you can see a few different options. You got V3 imaged video, you got V3 fast, etc. The one that you can see we are using is image to video and that is this one over here. Right now what you can also see here is we're generating a web hook. This is going to trigger the next part of our workflow which I'll show you in a second so that we can download the video once it's ready and it might take about a minute before it's ready. That way you just don't have to sit around waiting. It just automatically pulls in the video. So we're using the file web hook and then here you can see we are using the header parameters content type application JSON X brand campaign we got the brand asset right there. Then we send the body with the aspect ratio the image URL and the prompt and that's going to send it over to F. Once that's done we're on to the final part of our workflow which is the web hook. So remember I said over here we trigger a web hook once a video is generated. Over here we have that web hook trigger and that triggers our next part of the campaign. So we validate the generation which you can see here. We just have to make sure it's generated properly. Finally, we're going to download the brand video which you can see over here. So we've taken all the inputs and downloaded the brand video as a get. So this is a HTTP get. And then finally we're going to upload that to Google Drive like you can see over here. Right? And the reason that we upload it to Google Drive is just so that we can find it later and we can get access to it and everything else, right? Nice and easy. And then you can see here Google Drive resource file operation upload input data field data brand video is the file name with the date. So we've inserted the date inside the file name from our Google Drive inside the NA10 video section. And that's basically it. That's the whole workflow, right? And so you can change it however you want. I mean like some people they probably want to, you know, I don't know, create like a Yeti vlogging or something like that. So you could put like Yeti vlogging on his phone from the phone's perspective. Then we'll go to create images and we can put photo realistic. So if you wanted to change a character, you're not just limited to like male or female or that sort of thing. You could easily use this for generating images of like funny characters. I know yetis were just blowing off popping off earlier this year when it comes to that stuff. Right. So you can see here we've got that now. And then we can either say like we could say that okay make it more realistic feel more real authentic like a photo or you could just screenshot and then plug it into Gemini and use the image generation method that way as well. So let's wait for that to load. Here we go. All right. So we're going to download that. The only thing that I do find with Gemini Nano Banana is like, you see how I've asked it to make it more realistic and just totally ignore that and gave me basically the same thing. That's just something you have to be careful of. You'd be better off just going and creating a new chat. Uh to be honest, from what I've seen, so from here, we can then run the workflow again. I'm just going to refresh the page. All right. And then inside here as well, you can change the format. So you can say okay get maybe a UGC video concept and same over here and then you can check this as well. All right. And then in the creative director as well you can edit the prompt to change the visual style however you want. So then we're going to execute the workflow. We'll upload that file we just picked a second ago which is this one. So if you just wanted to create like a Yeti login or something like that, we can insert that form and now you can see that's running the workflow sending over to the production specialist now and then it's going to fire it off to FA in a second. Right now we can click execute workflow over here and that'll wait for the trigger event. So basically what that's going to do is wait for foul to finish generating. Then it's going to create the web hook which
Segment 5 (20:00 - 25:00)
triggers this workflow like you can see right here. One thing I also want to say here is like in the validate generation section you can see that we've got a choice between false and true. Now if it's false it's just going to stop right there and end the workflow. If it's true then it's going to send over to download brand video and archive brand video inside Google Drive. Now, if you want to import the JSON file from the AI money lab, you can go to the AI money lab over here. Scroll down, download whichever JSON file you want. So, for example, this one, hit download there. Then you can go to create workflow, import from file, upload the JSON, and there you go. Right? It's all ready and built for you directly. And then you can just set up your own instructions and APIs directly here. Right? So really simple and easy to do. Nice little process. Doesn't take long at all and you can see exactly how it works. So thanks so much for watching. If you want to get access to the AI money lab link in the comments description, we actually drop like daily trainings as you can see inside the community. Very active community. It's got 23,700 members in there. So, you know, you can join a bunch of people who are interested in building this stuff, too. If you want to get the templates from today, just scroll down to the N10 automation templates inside the classroom, and you can see all of these different trainings over here as well that are inside the AI money lab. Now, if you want to get help implementing this stuff, I know a lot of people struggle with setting up APIs, making NAN actually like useful for a business, people struggle with that, you can actually join the AI profit boardroom. We have a community here that's very active. This is just for highlevel AI entrepreneurs who want to save time, right? So, you don't need to be technical or anything like that to join this community, but this is just about people who are serious about saving time and growing their business and scaling with AI because, you know, it's all good playing with this stuff, but if you don't just want to be sat around playing with toys all day and you actually want to use this stuff and make it useful inside your business, then join the AI profit boardroom because inside there, we show you all of our plug-and-play AI workflow faults that I actually use personally inside my business. The other thing that you'll find inside here is that you'll get a daily Q& A with me where I'll answer your questions via text and then for really complex stuff, I'll actually create a video tutorial. Additionally, we have unlimited tech support in there. So, if you get stuck or you struggle setting this stuff up with NA10, then you can create a thread and get answers quickly from the community with five weekly live coaching calls. And also, there's a refund guarantee inside there. So, no questions asked. If you don't like it, we'll refund you money. We'll high-five you on the way out. All right, just say thanks for joining. And then additionally, you can see how active the community is here, how much good stuff we've got. Very active, lots of cool stuff going on. And we're just helping each other grow. You know, the other thing here as well is that we do giveaways each month like you can see only for AI profit boardroom community members. And then additionally inside the classroom here, we have all of my best automations like you can see step by step. Now, if you're overwhelmed with AI or you don't know where to start, but you want to learn from scratch how to use NA10, you can start right here with the six week AI automation class. And then you can see all these different other workflows here. So, for example, like we landed a lot of clients doing AI automation. If you want to learn how we do that, just join the agency course. And then if you want to grow your business with YouTube, you can actually get all this stuff right here. Additionally, we have tons of different giveaways here. So, the more active you are inside the community, the more help you're going to get inside the leaderboard here. You unlock free stuff at every level, which is pretty cool, including, for example, like a one-to-one call with me, custom GBT built for you, AI social media audit where we'll look at your social media and give you tips via video. So, loads of cool stuff that you can unlock inside there. And then, additionally, didn't even mention it yet, but you get five weekly coaching calls. So you can jump on those coaching calls, ask any questions you have, get help and support when you need to. You can ask our PhD scientist, Dr. Jeff, any questions you have. We also have weekly NA10 automation master classes, too. So there's just so much there to help you and empower you to grow your business and scale and save time with AI. So feel free to get that link in the comments description. Quantum says, "Do you see hey hexrike AI or 10centent hun? " I've not tested those with this workflow, but I think it'll probably work pretty well. And then Breakthrough says OpenAI or OI. Yeah, OpenAI is what I'm using for this workflow right here. Additionally, if you're like a very business uh a very busy business owner, you don't want to be doing this stuff yourself, right? Like you're probably not the sort of person. If you're a seven figure, eight figure, nine figure entrepreneur, there's no way you're going to be sat there messing around with MA10. If you just want to hire us to do this for you and you know set up these automations
Segment 6 (25:00 - 30:00)
based on what's working for us and our business, what we're going to do is very simple three-step process. If you book in a call with us, an AI automation call link in the comments description is on that call, we're going to look at where you spend your time, right? So, where do you spend the majority of your time? From there, we're actually going to look at what systems you can build to grow your business, but also save you time and get you more leads and customers. If you want to hire us to do it, usually costs about, I would say, $2,000 in automation. If you want to hire us or to go off and do that for you, then feel free. If not, happy that you just booked in a call with us and wanted to talk with us. Appreciate that. So, yeah, there you go. Foul says, "Is the Veo3 video free at Gemini Pro, but does NAM work with it? " No. So, you've got to if you're using an API to generate videos with A3, you pay for it, right? If you want cheaper ones, I actually do have inside the AR profit boardroom cheaper options. Like for example, I think I got see that. Let's have a look inside the classroom. This is the AR profit boardroom, right? So if you're inside the AR profit boardroom and you want a cheaper workflow, you want to save money, then what you can do here is you can go to the videobased templates and then you're going to use Miniax automation, right? And that's way cheaper. Way cheaper, right? So if you want to get that, it's directly inside the AR profit boardroom along with a bunch of other different templates that you can use too. So yeah, if you want to go deep on this stuff, you want to use cheaper APIs, etc., join the AR profit boardroom, get the NA10 templates and you can just download and import these like you can see lot cheaper. So thanks so much for watching. Appreciate it and I'll see you on the next one. Cheers. Bye-bye. to control your browser and you can literally chat to it. This is directly inside NA10. So for example, if we open up the chat over here and I will give you the free template at the end of this video as well. If we go inside the chat here and we type for example visit amazon. com search for wireless headphones and for each of the first five products extract the name, price, rating, number of views and availability status like you can see and this is using this NA10 automation to basically start controlling our browser. Now if I go over to Slack, what you actually see here is the automation has started and basically this is going to give us a link directly to using this NA10 browser. You can see we've got the link here and we can actually watch the browser working magic and essentially now you can see the AI agent, this is not me in a remote desktop has navigated directly to Amazon to start doing the work. Pretty wild stuff. And so essentially what this is doing here is it's now using these different tools inside the AI agent. And you can actually get a free API to use this stuff and then it will start working its magic. All right. So if you want to see an example of an execution of this, let me show you. These are all the different examples. So you can see here, for example, if we open this up and we go to executions, here's an example where we said visit Amazon, search for wireless headphones. And actually inside the chat here directly gives us the breakdown of the price, the reviews, the stars, the availability of each product after searching Amazon, right? And so you can also see these live so you can see how they're working step by step. As you can see, we've got the links directly to the bots we're using like this. And this is using something called airtop to operate this directly. Right? So, for example, if we look at this previous browser loading, you can basically watch the AI use your browser live. So, really cool stuff here. Now, if you want to understand what's going on and how we've used this, like you can see in this example, let me break it down for you. Now, before that, I did promise I was going to give away the workflow for free. So, if you actually navigate to the AI money lab link in the comments description, if you can't find it, just Google it or search chat GBT. Go to the classroom, scroll down, then go to free NA10 automation templates and the browser use agent is the one you want and you can just download this. All right, so you can get that directly inside here. And also just want to give a shout out to Nate Herk who created this a similar sort of workflow using the similar sort of process. That's where I learned this stuff from and it wouldn't have been possible without his work. So yeah, basically this is how you can use the template and if you want to get the free workflow, you can just download the JSON file directly from the AI money lab link in the comments description. Let me break down exactly how it works step by step. So we've got four different phases over here. All right, we've got the input AI agent. Then we send this over to a browser initialization. From there, we've got the page understandings. It's going to analyze the page, load the targets, etc. using these connected
Segment 7 (30:00 - 35:00)
tools. From there, it's actually going to interact with the page. So, it can, for example, perform clicks or it can input text or it can extract data, for example. And then finally, we've got the clean up and error handling as well. Now, this is actually operated via the chat. So, inside here, you can put in your prompt. Bear in mind, this is not 100% perfect. All right? So, if it's if you're using like a brand new technology like browser use agents, which really only just came out over the last year, then just be careful with the prompts you actually use. If you want to see some examples of what sort of prompts I've used on this, then I can actually put those inside the AI money lab description here. So, you can test these prompts out yourself. But essentially, you can get it to visit websites, script the latest news headlines, and even fill in forms, which is pretty crazy. All right. Now, directly inside here, what you can see is that it's got an input AI agent. So, this is the AI agent and the workflow triggers when someone puts in the chat, right? So, if you type something in the chat here, then the workflow triggers. So, for example, we say, okay, let's take an example like this. That's going to trigger. And you can see how it's connected to open router. So open router is the AI that we're using to operate this along with airtop and inside open router what you can see here is it's using the model GPT4. Now inside open router if you connect this then you can actually use many free APIs. You don't have to use that one itself. There are many different options as well. AI South Africa says always great to see the real Julian. Good to see you too sir. And as we keep going now, let's run this. So now you can see it's performing clicks on the website and that's the tool that it's using. And then over here as well, we have a conversational memory. So it can actually remember what we're doing directly inside the chat here as well, which is really cool because then it can we can go through previous conversations. We can edit what we're saying, etc. He can remember what we're doing along with this and we're good to go. Remy says, "Hi Julian, I got to stop watching your videos, mate. I am taking more time looking for all rounder AI solution than actually using AI. " Yeah, that's the thing. You got to stay focused, right? Inside the AI profit board, we actually have a focus protocol because I think that's the number one thing that people struggle with is actually the biggest issue that I see people struggling with is focus, right? So if you go inside the AI profit boom inside the community here, then scroll down to the start here section, we have a focus manual inside here. So you can just follow my protocol and then step by step follow that checklist that's going to show you exactly how to stay focused whilst you're doing this stuff. So that's one of the things I would definitely recommend to you if you haven't checked it out already. All right. So, let's go back to this workflow. And you can see it's worked nicely over here. So, for example, for that automation that we just ran, you can see it's visited Amazon. It's gone through the latest headphones, etc. If we actually go to our Slack channel, we can see the link to the live browser over here as well. And if you want to see it in real time, then you just run the workflow and wait for the Slack channel to come through. All right. Now essentially these tools that we've connected let me show you how these work step by step. So you can see we've connected our airtop credentials which you can get from airtop uh portal. top AI as you can see and you can see all your previous different sessions down here. So you can actually look at your sessions look at what happened what it did etc. How long each duration took and then what you want to do is go and grab an API key from the API key section over here. Right? So, you go to portal. top. ai. And then from here, you can just create a new API key. Pretty simple and easy. And that's essentially how you do it. You're going to create new key in the top right over here. Grab that and then plug that into NA10, which you can do over here. And you just go to airtop credentials, plug in your API key. Now, if we want to see the workflow that we just ran, we can take a look at that in a second. And then you can see here as well basically inside the description it's quite complicated but we've got the interaction click an element. So that's the operation that airtop is running. Then we have browser description. So we've called this a browser session identifier window identifier and then with enabled all these different options here right and then this you can link this to different tools here. So if you actually add inside your AI agent, you can add perform click input text extract data and this is going to initialize a browser session. Right? So basically what this does inside this section is it starts a new browser session in a
Segment 8 (35:00 - 40:00)
virtual environment. So this is not running directly inside your browser. It's running inside a virtual environment which makes it a lot safer. So if you're using AI agents, you probably don't want it interacting with your personal data or for example, you don't want it interacting with all your loginins, your passwords and everything like that. And so instead, what you can do is initialize a new browser in a VPS, then you can run this workflow like you can see over here. And this creates a new workflow, a new browser session like you can see. Now this triggers a whole new workflow here. So you can see the external workflow trigger which then leads to a session manager. So it creates a new session under the user profile. From there it's going to create a new browser window that's going to process the new session and then that's going to send a notification to my Slack. Right? And so we've logged in with our Slack account. It's going to send a message. You can choose which channel you want to send the Slack message to over here in the ad section. And then we've got a simple text message. Right? So you can actually edit what you see here. So if we go inside the slack channel here, you can see the task, the target, the website, the live view, so you can watch it live and then when it actually got started. All right. So you can see it running there and then you can choose whe to use markdown. Now if you are for example posting this inside Slack, you would use markdown format just so that it reads nicer inside the message and then that's going to validate the initialization in terms of the window. So when you're doing this as well, what you want to do is create a channel or use an existing one, right? And you just invite your app to the Slack channel. Now, if you don't know how to set up Slack channels inside NATM, we also have a tutorial on how to do that, completely different video, but you can see here it basically shows you step by step how to create and connect Slack bots to your NAM workspace so that you can easily send messages automatically with the AI, right? So bear in mind this is basically using multiple AIS like it's not just for example using your typical AI agent is a very complicated workflow where it's running through airtop it's running through Slack it's connected to multiple different apps and then it's using this process right so kind of want to show you the AI working live so let me refresh this the chat session now and then we're going to run this prompt again just as an example and you see how that's initialized in the browser, which is great. Then it's opening up Open Router. It's inputting the text and then we've got the live view over here. So, you can see how it's navigated to Amazon and it's typing in wireless headphones in the top bar. Now, you tap you can take control of the browser as well if you want to. You can see here essentially it's looking through the page. He's clicking things. He's waiting for things to load. And I'm not typing anything. and I'm not touching the screen etc. This is just basically using the AI to control our browser. Now the other cool thing about this as well is you can actually assign login inside airtop. So when it's controlling your browser it can then actually log into your social media or if you wanted to it could log into your Amazon account and buy stuff for you that s you were feeling really crazy right and essentially you can see how the AI interacts with the browser and different websites using this process. Now if we go back to airtop. So, our AirTop dashboard over here, what you can actually see inside the profile section on the left once you've signed in is you can connect this to different social media profiles, right? So, you can save credentials to the profile, which means, for example, if you wanted to save your LinkedIn profile, maybe your Amazon account. Again, I don't recommend it. Like, it's probably not very safe, but if you wanted to, you could. I just want to show you what's possible. Then, you can use this whole process right here. So, that's basically how it works. Remy says, "Well ago, I started with NAN. Now, checking out Manners CL will be next. There's so many different tools you can use out there. It's actually amazing. Inside the AI profit boardroom as well. Actually, what we have is an updated tools list here. It's a list of tools that I use so you don't feel overwhelmed. You don't have to pay extra. You can just follow what I use. I use a very minimal setup when it comes the tasks I do and automate inside my business. But if you want to test this stuff out, see what's possible, then you know, obviously you can see all this stuff in my channel right here. That's basically how it works in terms of phase one and phase two we've talked about as well. Now let's talk about phase three. So inside phase three this can basically use another bunch of tools right like the perform click input text and extract data but these are analyze and plan navigate to page so it can actually load up websites. We can inspect the page and we've got our smart page analyzer. Basically, what all of this is doing is empowering the airtop tool and the AI agent to be able to control our browser using different tools. Now, we have to set up all these tools individually because we don't just have one big tool that says, "Okay, go off and analyze the
Segment 9 (40:00 - 45:00)
internet or go off and log into Twitter, right? We have to set up the individual tools that empower it. " And each one of these tools is very useful. So, actually, if you only set up a few of these tools, it won't be as powerful as you want it to be. So that's basically it in terms of phase three. And if you want to see how this sets up, you can see we've actually got thinking tool description here, right? So for each of these modules, we've got the tool descriptions. So the smart page analyzer and everything else like you can see. And then finally, we have the cleanup session, right? So this is going to close the browser for you. It's going to free up the resources and it's also going to keep the channel updated and also handle any errors as well. This is important because inside Airtop when you're using this, whatever plan you're on, you've only got a limited number of browsers that you can actually use, right? So, let me show you what I mean. If we go to account settings over here and then we'll go on to plan, you can see the different plans here. Now, if you want to go with the free plan, which you can do, then you only get one browser session, which is important to note because if you want NA10 to never run out of sessions that you can use, then obviously you want to make sure that inside the NA10 workflow, you clean up the session, and you close up any browsers you're not using, right? And so, that's essentially how it works. Beautiful little workflow, one of the most complicated NA10 workflows I've seen. super powerful and you can get it for free inside the AI money lab. Just go to the AI money lab, go to browse agent and then you can get the JSON file for this bad boy right here. If you download that, like you can see, then you go back to NA10, go to overview, create workflow from here, click on import from file, boom, shakalaka, there you go. All right, it just imports it instantly using this free template. And if you need help implementing this stuff, if you need coaching, if you need support, because it's one thing having the template, it's another actually being able to use it and implement it inside your business, then feel free to check out the AI profit boardroom link in the comments description inside the community here. You can see how active it is, right? How many people are posting and helping each other and the feedback that we have on this community is absolutely insane. Actually, let me pull this up. I think I got I think we've got like what 39 pages of testimonials from people who've helped with AI. We're just trying to help people as much as we can. We're trying to empower the world. We're trying to create a place where we can all learn AI safely together but in an environment where it doesn't feel overwhelming. And so if you want to check that out, check out the AI profit boardroom link in the comments description. Also got all these different courses here, including an NA10 templates and workflow section. And then also inside the start here section, you can see that actually we teach you how to build your first AI agent in under five minutes, plus how to actually monetize this stuff and how to utilize AI agents inside your business. So if you want to learn exactly how to use AI step by step, maybe overwhelmed or you don't know where to start or you just want to learn the fundamentals that are in Empower you forever, then check out the six week AI automation masterass. We also have tons of other different automations inside here as well. Inside the calendar, we run five coaching calls per week, including a weekly MA10 master class. So, you can jump on those live inside profit boardroom. And then finally, as well, we actually give away tons of stuff. So, you can see all this stuff you actually get for free as free unlocks as you become more active inside the community. So you can see a leaderboard here, who's on the leaderboard for all time, 30 days, 7 days, and then also all this stuff you can unlock, including like onetoone calls with me, a free custom GPT, AI, social media audits, etc. You unlock all of these for free inside the AI profit boardroom as you're more active. So feel free to get that link in the comments description. Oh, it's the only place I personally connect with people. And hope you enjoyed this workflow. Again, you can get it for free inside the AI money lab. If you struggle to implement this stuff, then check out the AI profit ordering. Remy says, "Scary workflow. So many points of potential failure. How do you prevent your data, emails, resumes from becoming training data? " So, the cool thing about this workflow is it's inside a virtual VPS, right? So, it's not inside your browser. It's not using your data. It's not connected to any of your tools unless you give airtop access inside the profile um connection section. So, it's safe because it's in a virtual environment that is not connected to any of your login. And if you do want to connect your login though optionally, then you just go to this section, create a new profile. Boom. All right. And that way you avoid any sort of maliciousness. But yeah, always be careful, always be safe. Sporter says, "Boom. Shackle. " That's what we're talking about, my friend. And then the final thing that I want to show you here is maybe you're thinking about becoming a client with us. Maybe you're thinking, Julian, just set this stuff up for my business. Maybe you're an enterprise that wants to set this stuff up and you want to hire us to do it, right? Because
Segment 10 (45:00 - 50:00)
you don't have the time or resources. You love all these automations, but you don't have the time. You're trying to scale, etc. Then feel free to book in a free AI automation session link in the comments description. On that call, we're going to look at where you spend your time, what systems you need to build to automate that time, and then number three, how much it will cost, and how much time it will take to go off and implement that for you for your business. So, we can set all this stuff up for you. We have an AI automation session that does this stuff for loads of clients. And honestly, it's life-changing for a lot of business owners, like you can see right here, because you're saving hundreds of outs for your business. Marinella, hi from Italy. Ciao. I've actually got uh family from Naples in Avalina of all places. So, don't know where you're from, Marilyn, but it's always good to see a fellow Italian on here, even if I'm only half Italian. But yeah, feel free to get all of this stuff link in the comments description. Hope to see you inside the air profit boardroom. Grab the free template from the AI money lab and I hope this stuff helped you. Appreciate everyone who jumped on. Cheers. Bye-bye. How to use NA10 with Nano Banana. I'm going to be giving away two different templates today for free. One of them being a NA10 Nano Banana template that actually generates images for free and then the other one actually generates videos from images. We'll come on to that in a minute. So, let me walk you through exactly how it works. This is the basic workflow right here. And essentially, if you're not familiar with Nano Banana, it's a new update from Google where you can generate really nice images, right? So, it's a brand new image editing model. I would honestly say from my tests that it is much better than chat cheap from what I've seen so far as an example of this. Right? So you can for example edit images actually create a thumbnail with it which is pretty nice and essentially how you can use this is you can use it inside the chat here as an AI agent right so this is a chat message and then from there you can then use open routters API and they have a free version actually for using nano banana the free version right then once you've done that you are going to run a request that turns the image to a video. So let me show you exactly how this works step by step. If we go inside here and we type in for example banana. All right. So you can see it's now generating the outputs here. So we've typed in for example like monkey in the chat. It's going to edit that and then turn it into a file. Really quick process. We basically put in a chat whatever image you want to generate. for example like monkey that's going to send a chat completion over to open router from open router we're going to edit fields and take the JSON which I'll come on to in a minute and then convert that into a file so that we've got the output over here of a monkey right and so we're using nano banana for all of this and it's really easy to use now if you want to use the API for free on open router you can go to open router over here and then you can go models. All right. So, you get your model and then the one that you're going to be using is Google Flash 2. 5 image preview free. Right? So, this is the free API that you can use to generate images for free inside N. Now, if you actually host locally on NAS as well, then this is completely free too. So, who we got on here? We got MD just joined. Morning from Portsouth. Good to see you. Jesse Jiu, let's go. P says yo, sporter says let's go and ma man says hello from New Zealand. Yeah. So essentially this is how you use it step by step. Right? If you want to get the API key, let me show you exactly how this works. So if we pull this up full screen, let me pull this up. Right? So we're using the model in Gemini 2. 5 flash image preview. Now if you want to use the free one, all you would do is you copy this. And the reason that I'm not using the free one on this example is just because sometimes, you know, when it's just been released, and this is brand new stuff, right? When you're using the new stuff, it can fail on you a little bit. But let's try this out. So, we're using the free version of Google Gemini 2. 5 flash image. We've open router and it's generated the image. Beautiful. That is beautiful. Right. Word first time on a live stream. W I love that. All right. So, Singum says, "Could you send the template? " So the way you're going to get access to this, you go to and it's inside the free group, right? So it's the AI money lab link in the comments description. Then you're going to go to classroom, new AI automations, Google Nano Banana free. And then you've got the images and the image to video example. Right. So if we want to generate just images on their own, click download, go over to NAN, import from file, upload the JSON file. Boom. Shakalaka, there you guys, ready to go. One thing I'm actually just going to do is I am going to save this
Segment 11 (50:00 - 55:00)
as we're going to save this as free, right? Because this is actually using the free API and it actually works on the live stream. So, I'm going to just download that and then we'll go back to the money lab. Add that template in for you right there. Right. So, then if you want to use the free API, you can just use the free API version. All right. Just use that one instead. And so, that's basically how you can turn this N into a free image generation tool that's really powerful that can just generate images for you on command. Now bear in mind if you were using chat GBT's image generation API it would be crazy expensive. It's going to be super slow etc and super annoying right whereas you can use the free version with open router you just plug in your details. Now let me talk you through exactly how to set this up. Right? So if you wanted to set this up from scratch you want to build it from scratch. So first thing that you're going to do is you would set up a new chat trigger like you can see add node and you would add a chat trigger. So I've already added one so I can't add a new one. Then you're going to set up a HTTP request and this is going to change this to post right to post. So what this does essentially it goes over to open router laying this post request we're using this API right so it's open router um API chat completions predefined credential type is open router and then inside the credential type right you go to edit and you plug in your API key here now if you don't know how to get your API key here's what you're going to do you're going to go over to openi then to keys inside keys create API key and you just go and you plug that in directly here. You just paste your API key in. Right? So we've done that. Then what you can see here is we are sending the body. Right? So we're sending this body JSON type. Right? So you click send body. Let me just refresh the page. Send body JSON using JSON. And then if you want to know what the code is that we're using here. So essentially we got the model as flash image preview free 3 messages ro user blah blah and you can just copy and paste that right or just use the template that I've given you but essentially the most important thing to note here is that inside the text input here we are inputting our text so that we can tell the image generator what we want. And so just to be clear here we've got a chat message that goes to post https request over to open router. From there we are going to edit the fields. Now you might be wondering, okay, why would you edit the fields? What's the point of this? Right? And so this edit fields section here allows you to map manually the different parts of the JSON code, right? So you can see here we've got the data string. Um, and if I show you an example live, so if we type in, I don't know, cat eating banana. If we do that example right here, so that's going to run the HTTPS request using the open router. And then it's going to edit the fields. So, if we open this up, it's now taken all of the data, all of this messy data and just organized it into a nice stream, right? But the main thing to note here is that what it's actually going to do is it's going to take all of this base data and then it's going to turn it into an image, right? That you can download. So, if we go over to convert to file, what this is doing is it's taking that image data and then if we click on show data, it's taking that field mapping over here. We're going to click operation move base 64 string file base image as the output. And that basically turns this into a downloadable image. Okay. If we go to view over here, we can see our cat eating a banana. And it's pretty realistic, right? Pretty good. I'm actually going to show you some interesting ways to prompt this in a second that blew my mind earlier today. But essentially, inside the edit field section, you can create that image and then if you want to view it, you can. If you want to go back to the list and then download it, you can. And then you can see this image over here. Boom. Shakalaka. All right. Really cool stuff. So that's essentially how you can do it. Now that's a really basic workflow, but it works beautifully. And also if you don't want to go through the whole process again, if you want to tweak stuff, what you can do is pin each of the f modules here. Right? So if you click save here, this is all pinned information. And then if you want to get the JSON file, like I said, go to the AI money lab, go to classroom, new automations, new Google Nano Banano. It's right at the bottom. We do add a lot of stuff inside here for this free course. If you just want to get the JSON files, they're down here. Right there you go. Resources. Boom. Okay. So, that's basically it. Damicious says, "What time is it there? " It's 4 p. m., my friend. And then from here, we've got this ready to go. Now, what
Segment 12 (55:00 - 60:00)
I'm going to show you is how to generate the video. So, if you want to generate the video, you just go to this JSON file that I've attached inside the module. And it's again, it's completely free. Don't need to pay for it. This is free stuff. And then what you're going to do here is you're going to see an example like this, right? And so, essentially what you can use is something called runway, right? And with runway, you can actually generate images to videos. So, let me pull up an example. This is a super rough example, but I just want to show you the power of this. We're just going to close Alama. So, this is a video that we've generated from an image, right? And so, if you have images from Gemini, then you can actually turn those into videos inside as well. And again, using the free API, you can generate images. Then, you can send those images over to runway and then you can generate the video from the image. Boom. All right. So let's go to how this works step by step. So again we're starting this with a new chat trigger. So we're taking the chat input for example like whatever we want to create the image about. So for example like a banana. Then from here we've got the HTTP request which again is just creating that image. Nothing has changed there right? Nothing has changed there. So that's what it does. And then from here what you can do is you can actually take the image that you have and generate a video out of it. All right, pretty simple and easy. So if we go back to for example basic banana image, right, we've got that image like so. Then you can generate videos with it. And you can see this is using just a sample URL inside the automation. But you can see how easy it is to do this, right? So you're basically just taking a PNG file and then you plugging it into the process. Now if you're wondering, okay, how do you set up runway to use this? So you can set up a HTTP request one, right? Then you're going to go to post. You set up the URL, which is this one. This is runway MLS setup. And if you want to create like an API key and everything like that, just go to dev. runway. This is the developer portal. And inside the developer portal, you can actually get an API key, right? So don't use the main version of Runway. Go to the developer portal at dev. runway. mml. com. Click on new API key. You can generate a new API key that you're then going to plug into a generic credential type header off runway ML. And inside the runway ML section here, you can put authorization, right, as a name. Then you're going to put bearer. And the way that you type this out is it's a capital B. Let me I'll put this inside the notes view just so you can steal this from me. So it's bearer space API key, right? And so you have to add that space in here and you have to put bearer first in the credentials and then that's how you can validate this. Right? It's important because otherwise you won't be able to generate responses. You also have to make sure that if you're creating videos that you've got your balance topped top on runway. So you can see here we've added credits and that allows us to generate responses like you can see over here. Right? So you can see that we've been generating responses using this process. Really simple and easy. You see all the different models that they have here as well. So it's quite easy to turn a image to a video. You got a lot of different options right there. And essentially that's how it goes. Mother man says it's 9:00 p. m. here and click stango stanganger says yay Julian master appreciate it thanks for watching tuning in. All right, gener credential type header off runway ML send headers and I'm using the X runway version and we just add this value in and then on the JSON here we send body JSON using JSON and then if we open this up you can see how I've plugged this together right and again you would just replace that URL with an openly public URL where your PNG file is hosted right important to note that so that's essentially how you can do this and then you can generate videos like I was showing you a second ago inside here. Right? So this sends this module here, it sends the image to become a video using runway and then this section right here gets the image from runway. Right? So you can see it's using that JSON ID over here which is pulled in from the last module. We're using a generic credential type header off runway ML send headers same model as before. Boom shakalaka. All right. And that's basically how you can turn an image into a video using NA10 and this workflow. So you can basically replace any sort of previous modules that you had and switch them over to something
Segment 13 (60:00 - 65:00)
like this. Right now as an example of that, if you pull up a previous module that I've created, this is a shorts automation. Right? And inside the shorts automation, what we've done is we've created an idea. Then that's generated a prompt. Then that's going to plug in an image over to foul right and so this section here instead of generating the images using flux now you could actually create the video using but oh sorry you could get the image using Gemini image and then generate the video using VO3 right so you can use something like this so loads of cool stuff that you can do there lot of optimizations and automations you can make with that and if you want both of the templates for doing this. We've got the image to video example, the JSON for generating images, and then finally the free API version for generate basic images. The other cool thing that you can do over here, if we go back, right, so if we go to overview, then we go to banana basic and a to you can actually make this public, right? So, for example, if we click on this, make chat publicly available, then we're going to make that workflow active. All right. And then you can actually create a open chatbot that generates images directly inside the chat here. Right? So if you want to use this, you can. And then you would just go through it as normal. All right. So that's basically how it works step by step how to use it, etc. Now there's a couple other things I want to show you here that I think are really cool. So using the custom GPT that I've built. So we actually got this custom this is inside the A profit boardroom. If you want to use this custom GPT that I've built, essentially what this does is it's an image prompter for Banana Nano, right? For Banana Nano. So, if you want to get like better quality prompts, you can go inside here. This is custom prompted on Google's guidelines for generating responses with Nano Banana. And then from here, you can start generating responses. So for example, we could say right, okay, give me an image of a cat playing basketball with a gang of dogs, something like that, right? And basically using this image prompter, it's going to give us the subject, the composition, the action, the location, and that's a much better quality prompt for generating responses. For example, if we take this, it's going to have all the details of the context, the style, the editing instructions, and then it's going to have a final prompt over here. So, if we take this information like then we're going to go over to Google Gemini, plug this in right here, enter, um, we'll get a much better output than using just a oneword prompt. And so, it depends on the quality of the prompts that you want. But you could easily add this into your workflow and then generate better quality prompts as you're going along. So, let's wait for this to load. Here we go. That's the image generated. And that was super cool. And it's super easy and it's simple to generate. We've got a cat playing against all these gangster dogs. Whole crowd in the background looking at stuff and some squirrels at the top. Like the attention to detail is pretty cool, too. But it's much better and much faster than using something like, for example, Chat GBT. The other benefit of using Gemini Nano Banana is that when you're actually using this, you can edit the background and that sort of thing. So, for example, if we wanted to say, okay, make the cat look way more ghetto and gangster, then we can actually just edit like different parts of the image like a AI version of Photoshop, if that makes sense. Now, if we use exactly the same prompt inside chat GBT, right? So, we're going to take this prompt like and we'll use chat GBT which I mean honestly it's like super slow, right? So, if we go inside chat GBT, I'm actually dreading using this right now. So, I'm going to say okay, create an image of this and then if we go to Gemini, right, and we'll compare these side by side. So, I'm going to pull up chat GBT and we're going to compare this versus Gemini. So, we're going to plug this in over here and we're going to use chat GBT to generate a response as well. And so, let's see who wins. Now, I know for almost a fact that Gemini Flash images is going to generate a much quicker and better response than using chat GBT, but let's see what we get back here. So, you can see we've already got the image back, which looks pretty good. If we have a look at the image from chat GBT, it's just getting started, right? It literally takes 10 times longer. If you have this in your workflows, then your productivity is going to get absolutely smashed. And the reason for that is because you're waiting like 10 times longer, if not maybe 50 times longer, for the same image to be
Segment 14 (65:00 - 70:00)
generated at a lower quality, let alone if you have any image edits that you need to change on the image. So, for example, if we're using this, well, I can quickly, whilst it's still generating, I can say, okay, make the cat the green alien. And whilst chat GBT is still messing around generating, I think we can even make edits quicker with Gemini. But let's see. We'll see which one comes back first. We've actually generated two images with edits in the space of time it took to get the image back from Chat GPT. It's just ridiculous. It's just absolutely ridiculous. Darren says, "What if we take old technology and build a bridge to connect it to new technology that is a lot cheaper and easier for government mining transport and banking to adopt? " Probably a little bit off topic there, mate. But yeah, I see what you're saying. I think it is a bridge to be fair. If we have a look at these images as well, side by side, this one is more photorealistic, but it just looks a lot weirder, right? like what's going on with that dog's arm over here. Whereas, for example, if we look at this image, there's a lot more detail. Like I was saying, it looks a lot cooler. It's a lot more interesting. I would say this one is going to capture attention more. Andrew says, "Julian, you are awesome. You're an absolute legend. " Andrew, I appreciate it, man. Thanks very much. It's really that makes it worth everything that I do to get good feedback and stuff. So, I appreciate that. Thank you very much. But if we have a look here, so if we've got the gangster cat, we've got the cat over here, we've got the alien, you know, so like you can build really cool stuff with Gemini Banana and it's way faster and way easier. Andrew says, "What's your main chosen model? " So for using images, like I was saying, I use Nano Banana. I think it's way better than Chat GBT image creator. The other thing that I'd be tempted to do, and I've not tested this out yet, but one thing that I would like to try is actually building an app using the API from Google image as well. Maybe we can test that out in a second. But essentially, before we do that, I want to show you something else and this is absolutely amazing. I've actually linked to Machina inside the free module, the AI success lab, but this blew me away, right? So essentially what you can use inside Gemini if you're creating better prompts and you can put this inside your NAM workflow if you want to is you can take these prompts and use them as presets for like logos, ads, that sort of thing. And there's 20 different JSON templates inside here. So I'm actually going to put this inside the description of the video from today as well. So that's on YouTube too, just in case you want to check it out. But if you want to, for example, generate like a really cool output here, let me show you some examples. Right? So if you wanted to generate let's say like a game style image like you can see right here. Shout out to Mino again for doing this. You can actually take this JSON prompt and you can plug that into the into Gemini Nano Banana when you're creating the outputs. Right? So, for example, if we take this over here, we're going to copy that JSON. We're going to plug it into Gemini. Going to switch tools to images. And then we're going to say, okay, create a zombie apocalypse image, something like that, right? And then that's going to start generating the image, but it's going to be using the JSON that we're filtering it through, which means that we get much better responses from the image because it's stylized to that custom code we've plugged in, right? And that means you got a custom preset if you want consistent outputs. So you see how this has created an image right here like in a game style, right? It looks way more interesting. And so you can generate beautiful images using these presets and they look really cool. Sper says, "If you want to impress us, have a gangster cat rap while balling. " All right, let's try this out. So I'm going to change this to let's see what styles we got on the list here. So we got the game one is really cool. This is kind of like a comic book style one. This is photo realistic, which I really like as well. So, we'll try this one for the image. So, I want to take the JSON over here. We're going to plug this in to a new chat, right? Tools, images, go up. And then what I'm going to do is I'm going to go back to the image prompter like, and I'm going to say, okay, give me an image of a cat playing basketball cat with a gang of dogs. wrapping whilst balling, right? And we'll get that image prompt generated first and then we'll use that to generate the outputs, right? So, we're going to take this text like so, go back to Gemini, plug this in at the top, right? Hit enter. And now we can start generating better responses. And that should use the custom prompts
Segment 15 (70:00 - 75:00)
from chat GPT along with the photorealistic JSON from Mulina. And then if we go over here, we have the image. And there we go. So you can see how easy that is to do. Super simple. And it really didn't take long to generate at all. All you have to do is just run those prompts step by step using the process I've given you. Works really well. You actually get much cooler, better outputs. I would say that looks more interesting than the original one that we generated and less cartoonish as well. And then also here's the other thing. So if we download that full size this is something that chat GBT can't do as well. So if we download that and click Strango says top results appreciate you sporter says a thanks very much sir and then for M4 log says hi Julian thanks so much your video pushed me forward with NA10. That's what I'm talking about man. Let's progress humanity with NA10 automations. All right. So, now we're going to take the image over here that we just generated. Right? So, this is the one of the gangster cat wrapping whilst balling. And here's where we're going to take it to another level. Right? So, we're going to add in that photo of the image from Gemini. And then we're going to say animate this. Right? And so we're using Bayer 3, which is the builtin automation from NSM, and we're going to use that to generate a video, right? So you can see here, it's now generating that video using Gemini. Not only does Gemini have the fastest image prompter in the world, it also has a built-in video generator that you can't get inside Chat GBT. And then we're generating the video over here. So that's going to take a couple of minutes, but yeah, you see how it works. Final thing that I haven't tested out but I want to know whether you can do it or not. Probably there's some people watching who can do this but essentially I think inside Bolt you could for example use the nano banana image API to generate a image tool. Right. So essentially what we're going to try and do here is create an image tool using the image API from Google. So that for example we could generate like images or thumbnails whatever you want directly here. All right. So if you've never used it before it's kind of like an app builder and it can build websites too and it is very simple because you're just using plain language to describe what you want. And so using that we can then create the tools that we have in mind. Right? So if you always had a tool that you wanted to create let's say for example you want to create a image tool using the nano banana API I'm pretty sure you could do it using this process. It would just take a lot of back and forth. Actually did something similar with the chat GBT image previewer. But yeah you get the point. So you can build those sort of tools directly inside BMW as well which would be really cool. Final thing I want to show you. If you go over to AI Studio, this is another way you can use it for free and you can get a free API key from here. I know a lot of people think that you have to pay for API keys. You don't if you're using open rout or AI studio on Google. So if we go to ariststudio. google. com then we are going to go down to chat. Inside chat you can select nana banana and you can start using this directly here as well. Right? So you can start generating responses directly inside the chat here and it's free up to a certain limit. Right. Obviously, if you're going crazy with it, then that's not going to work. But if you want to just quickly play around with it for free, then you can use AI Studio as well. It seems to be a little bit slower. So, it took 9 seconds to generate that. But again, like how much faster is that than using something like chat GPT? And good luck if you need to create some edits as well. Andrew says, "Bolt is amazing. I'm trying to use Bolt and NA10 together. " Yeah, I think that would be really cool, too. But yeah, essentially that's how it works. If you love like NA10 automations like this, feel free to get the AI profit boardroom link in the comments description as well. If you type in NA10 here, go to classroom, then go down to NA10 templates and workflows. You can check out all of our NA10 workflows here. And we have attached JSON files for each workflow, right? So, if you want to learn how to build with this stuff, you can. If you've never used it before, but you're curious about learning it, you can start with the six week AI automation master class and we'll literally show you how to create your first AI agent in five minutes. It's crazy. Anyone can learn this stuff from scratch. And then also we do daily coaching sessions. We have five a week. And inside the community here, we have a very active community of people who just want to learn and grow together inside the AI profit boardroom. Like I said, the free automations from today are inside the AI on lab. before anyone comments like this is not free blah blah you can get them inside the resources here import them into NA10 you can actually host NA10 locally if you want to use NA10 for free as well so all
Segment 16 (75:00 - 80:00)
of this stuff is free and you can get a free API key from open router so no need to comment that it's not free because it definitely is 44 log says or analog says I managed to make a huge right program in Google studio imported vs studio to change the integrated services vm it's massive work yeah I would agree like it's just amazing what Google AI can do and it's clearly dominated, right? I think actually Chat GPT makes the most revenue from what I've heard when it comes to it AI, but Google absolutely crushes when it comes to its outputs. Right? This is generated like a an example AI image generator. But the thing is you want to actually have an option to plug in your API key here. So I would just plug it in all the information about API guidelines for coding with Nano Banano. And you can just plug those in the chat. Create a tool with it. Boom. Shackleaka. You're living the dream. All right. So, thanks very much for watching. Hope to see you inside the AI profit boardroom. Link in the comments in description. And yeah, we've got loads of good stuff going on in there. And then also, if you want to book in a free AI automation session with us where we can basically look at your business, look at where you're spending the most time and then help you figure out how to automate it, you can book in a automation session right here. We'll basically on that call look at the time audit, build out the systems for you and then do the hands-free stuff here as well. Final thing I want to show you was the video that actually got generated by Beer 3. So, let's have a look at this. This will have sound as well, but I'm not going to play sound because it was sound on the live stream. But essentially, you can see how we've generated that video using VR3. Thank you for the reminder, Sporus. I appreciate you. Yeah. So, let's have a look at that. It looks really cool, right? And that was all generated from this image with Nano Banana. And then you can even do that inside N10 like I showed you earlier today. Boom. All right. So, thanks so much for watching. I will see you on the next one. Cheers everyone who tuned in. Appreciate all the comments. Support us. You're an absolute legend. Click Stanganger. Andrew, you're a legend. And I'll see you on the next ones. Cheers. Bye-bye. Today I'm going to show you how I rebuilt a app valued at about $8 million. I'll show you the stats in a minute using Lovable and NA10. So you can see for example here we have our app built inside Lovable and that is connected to our workflow inside NA10 where it can essentially do the same functionality. will basically automate the whole thing using lovables AI features and also NA10 and I also give you the free template as well from today. So if you want to steal this stuff from me, you can. Obviously this is just an evaluation of the app, right? So it's not like I'm saying this is how much you're going to make. This is just an example of what you can do and what you can build with NA10 and Lovable, but it's pretty amazing what you can do and hopefully this inspires you to build your own apps or to for example test different workflows yourself. So, we're going to be trying this out today. And essentially how this works is you are going to, for example, build an app that can accept someone's name, email, and quote category. Then that's going to go into a spreadsheet, and it's going to fire off a daily inspiration quote to the person who's opted in for the app. All right. Now, if you want to know, okay, where do we get that valuation from? That sounds crazy. If we have a look here, this is for the company Motivation Daily Quotes by Monkey Taps, right? So, in 2020, they earned an estimated $600,000 per month in revenue according to App Masters. And you can see how they've built it out. So, they've got over 1 million reviews using a very similar process as a motivational quote app. And essentially if you want to build this with NA10. So you can see here what we've done is we've actually got a web hook URL that we've linked over to NA10. Right? So we've got our NA10 workflow over here. This has a web hook inside it that we can link directly to NA10. Right? So if we have a look at this process, you can see we've got the web hook running over here and we just copy that and we paste it into our workflow over here. So you see how we've got this web hook linked from NA10 to lovable. Now the reason for that is that it allows you to basically say okay when any anyone fills in this form on my app which you can see over here start my workflow inside N. So you can connect them together really easily. Now, if you want to see how we built this from scratch, essentially here's how it works. So, we said, "Design a simple and elegant website for a daily quote email app. Here's a user flow. Here's a form that we need to insert in. " Then, we just gave it some stylized guidelines. By the way, if you want to steal this stuff from me, or if you just want to
Segment 17 (80:00 - 85:00)
get the quote for inspiration, the prompt, then I'm going to put that inside our free AI money lab course. Here's the prompt. And if you want to steal this stuff from me, you can. So there's the prompt right there along with the attached JSON file. So you can just download this and then use this inside NA10. So that's inside the AI money lab. Go to the classroom. Then scroll down, go to free NA10 automation templates, and you can see lovable NA10 over here. So it's really easy to build out this workflow. Let me show you exactly how it works step by step. So we it started off with that initial prompt. Then we tested it. Obviously, it takes about I would say probably 20 minutes to start building out the example. And you can see here that this is the quote form that it came up with and then we refined it a little bit. We went back and forth inside the chat and then we gave it the web hook from NASA. Now, if you want to create a web hook inside N10, pretty simple and easy. You would just go to for example here add node web hook and then that's going to start the web hook when the workflow is called right. So this basically triggers the start of the workflow. Now if we go back to this web hook here let me show you how we set this up. So we've got for example the test URL and the production URL like you can see over here we have HTTP method as get path as you can see here none and then respond. Right? So there the details right there and then you can actually test it. So if you type in your details into the app that you've built and then wait for a trigger event, you can type in the app details and then just check does it actually trigger. What that's going to do from there is take the data from the NA10 app. So for example, if I fill this in, right, and then I'm going to choose a category. So we go business for example, hit start getting quotes. that's going to receive the subscription and then this is going to append it to our spreadsheet. Now, if you want the spreadsheet template, it's over here, right? And we just have to make sure as well that this is listening. So, if you go over here, you can see that we've got the collection of details of what people are interested in. So, the category, the email address, and the name of the person. And essentially, we're using that to fill out our spreadsheet automatically. So to map out the workflow so far, we've built an app. We've connected that to the web hook. When the web hook is triggered, that's going to append the details entire row. It's then going to respond with the first incoming item and just get the spreadsheet row details, right? So it's going to get those rows. So the lead sheet one, which is this tab over here, and we've got the template inside the AI money lab. if you want to grab the sheet template. So, you can just go to file, make a copy if you want to make this yourself. I can see someone's already looking at it. And then inside the leaked sheet here, we're collecting those emails that we're going to send out each day. So, you can quickly build out an email list and build out a beautiful landing page or an app using this process. From here, what it's going to do is it's going to loop over items, right? So, what do I mean by that? Basically, it's taking the information from the spreadsheet and it's sending this off over here, right? To fetch quote. So, you can see for example, this is going to fetch quotes. This is from quote table io as you can see. And it's getting the information from quote table io. Grab that information, process a quote. So you can see here it's getting the quotes from the automation and then creating an email template in HTML. So if we open this up, let me show you how this works. This is a beautiful email template that it's going to use to fill out the details of the quote. For example, if we go to our daily quote over here, says daily inspiration, here's the date to have faith. Here's what you're going to do. And that's a quote from Alan Watts, right? And so it's like a daily newsletter that's linked to an app inside Lovable and the NA10 workflow. And then it's just going to send those emails directly to my inbox each day as long as this is switched on. And then it will send a message like you can see. So we're sending an email from our Gmail account. If you want to edit the credentials here, you just sign in with Google and add your own account. You can also change the sender name down here. So you can change that name and then also we've got the resources message operation is send the to the subject so daily quote and then the actual date which takes from JSON the email type which is HTML because we're formatting it with HTML from before and then the message right really easy to build out and then it's
Segment 18 (85:00 - 90:00)
going to wait 5 seconds and then loop over right so you can see it just loops that over so pretty simple and easy you can all the previous executions over here so you can see how it works step by step when it runs etc. And Sep says, "Hey Julian, big fan. Been watching your stuff for a while. It's really help your business. Just wanted to know if we could do the same on the same AI. " Yeah. So that's basically what I'm showing you, right? Is like basically how to do this with AI. So, you're building the actual landing page with the AI inside Lovable inside the chat here and then this will link to NA10. Essentially, that's how we built it out. Now, if you wanted to, for example, have like more of a flashcard app inside here. Sadep says SIM AI inside SIM AI. I'm not sure actually. I've not tried to do this, but yeah, I assume if you can link web hooks to Sim AI, you could probably do the same. So if we go back to lovable if you've never used this before this is basically how you can create an app right if we go inside chat GPT and we say right okay create an app about and then you just insert whatever you want to create an app about. So I'm actually going to say okay give me five to 10 app ideas that are great for me personally. So for example like a sales call QC dashboard or an AI funnel optimizer. That's the good thing about chat GP. It knows what you work on all day. So need. And then for example inside here we could have a AI funnel builder, right? Or sales call tips app, right? So let's say okay, create an app for sales tips and then you can take that JSON workflow like you see right here and you just grab the web hook for your specific use case. You're not going to use mine obviously. You're going to use one for your own NA10 workspace make and we'll say make sure it triggers the web hook when used and we'll say where people have to opt in or daily sales tips delivered to their inbox. And then what we're also going to say here is make the landing page clean. Beautiful. All right. And so that's how you can basically insert the web hook inside here and then also create the app. It's going to take about 20 minutes to now start spinning up. But basically that's how it works. Mr. Power says hello to you Mr. Power. And then you can see how he's starting to implement this now step by step. So if you wanted to see some examples of like previous executions, let me show you how this works. So if we go on executions, we can see where it's previously run. So if we open this up, we've got it running like and then you can see how the process works, right? So this is triggered with the web hook with the query. So someone put in their name, their email, and the category, then it's going to append the row in the sheet. It's going to respond to that web hook and get the row in the sheet two. From there, it's going to loop over the items, fetch the quote. So, this is the content from the quote and it's quoted Steven Hawin. And for this bit as well, you just want to get like a some sort of quote API that you can link to this, right? So, if you using quotes, then that's what you would do. And then from here, you process the quote. So, you got the content, the author, the tags, etc. And then this will create an email template based on this content. So we got the create email template HTML that I showed you earlier. That's going to create it right here. And from there we're going to send a message right now. We actually label the messages as well. Sent or in the inbox on red that's going to wait loop over and then it's just going to send over the quotes to each person. So you see how it loops over to each person in the list. And then you can have this running over and over again. Mr. Power, what do you want to ask? But yeah, really cool workflow right there. Basically, inside the AR profit boardroom, if you go inside here, there was actually a member who requested this. Let me find the post. Yeah. So, Samir was asking about how to do this, right? How to publish NATM workflow via web app using Lovable. And that's why we created this workflow cuz we were like, "Right, okay, let's just make sure the AI profit boardroom members get as much help as they possibly can do. " And so that's why we created this web app. And then you can see how easy it is using this process. Now, the other cool thing here as well is once you've created this, you can actually just go back and edit it if you want to. So you could say, "Okay, make this change, make that change, etc. " And then from here, you're good to go. So Red Deep says, "Really appreciate what you're doing. Keep your thing. I
Segment 19 (90:00 - 95:00)
got a dip. Thanks for everything. Happy tell. And then B said, "Is lovable good or not good for SEO? " It depends how you optimize it, right? So if you're going to build a website with lovable, then you just optimize it in the same way. The reason that most people fail when it comes to ranking a lovable website or a website like this is that they're not actually focusing on SEO. They're not building backlinks. They're not optimizing the page. Let me show you an example. For example, if we actually type in the keyword SEO RII calculator, the people are typing into Google here, you can actually see that our page built with bold. Which is very similar to level is ranking number one for that keyword, right? And so when you're doing this process, you really want to make sure that you optimize the page. Now, if you look at how we've optimized it for SEO, what we've done is we've put the keyword inside the top of the title tag, the title right here. We've also included some keyword optimized content around the page as well as the calculator. We've matched the search intent perfectly. And then also the other thing here is don't just focus on SEO but also focus on optimizing and converting that traffic. So for example, if we have a look at this page, you can see that we're sending traffic over to our funnels to book in the core. And so when you're building out these pages, you want to make sure the content you create matches the search intent. The page has optimized keyword density. Don't go crazy on that, but do it. Have some CTAs to wherever you want to find traffic for, like you see right here. Make sure that you using it inside Google Search Console as well, like I'm showing you here. For example, 14,900 impressions per month, 69 clicks, not a massive amount of clicks, but it does rank number one for that keyword. And then also make sure that you're building backlinks to this page, right? So for example, if we have a look on HFS and we dashboard here, you'll see that we've built a bunch of backlinks to this page and that's why it's getting so much organic traffic right now. This is a onepage landing page with Bolt and you can do the same inside Loveable and then you can connect it to NA10 and rank it too. So you can get a lot of traffic to these pages too like you can see. And the other thing here as well is if we go into Let me double check this. I'm not 100% sure. If we type that keyword into Yeah. So, you can see on Bing 2, our page is ranking number one here. Doesn't seem to rank inside chat GPT. So, well, let's have a look here. Oh, yeah, it does. Look at that. So, it's linked out to my website, Julian Goldie. com, as you can see inside Chad GPT. And then also, I think inside Plexi as well. Let's have a look here. Yeah. So you can see it quotes my website here inside perplexity as well, right? And so you can optimize these pages for SEO too. Borpy says, "Thank you. " Glenn says, "Doesn't seem to have OG images, OG descriptions on sub pages. That's it might work, but social sharing doesn't seem solid. " Not sure about social sharing, but I'm sure you could change the meta images, too. What you could do is you could just go inside here and then just say, "Okay. " And by the way, this is the page that we created for our app. So you can see this has got some really nice content, nicely designed etc. And then you can trigger the web hook once people enter their email address here. And then inside this section you can just say okay can you add an image for social sharing metatag image etc. So when it's shared online the image preview screen, right? Simple like that and then you can fix it that way. PL says, "Hey Julian, I happen to catch this. What is the best platform for building your first GPT for a newbie with no coding? " Yeah. So I just chat GBT will do the job and then you can easily do that. I got loads of training inside a profit boarding. So essentially that's how you can change now the social media page as well. So you can see it's creating the banner and everything else which means that when you share it online it will look a lot nicer. You can also invite people to your projects if you have a developer working on this. So you can quite easily get a lot of NAM builders online as well. And that's basically it. Just to reconfirm here, we rebuilt this app based on how motivation daily quotes app is monetizing with their premium subscription model. According to the quotes online, they make over $600,000 per month in revenue. Quick disclaimer. You probably won't learn that or anywhere near that, but you can see how you can basically connect Lovable and N10 together so that they can build beautiful apps that work really well together using this web hook process. Now, if you want the full template from today, just go inside the AI money lab. So, lab, go to the classroom, and then from
Segment 20 (95:00 - 100:00)
here, what you're going to do is scroll down and go to free MA10 automation templates. And you can just grab the template right here. Right. So the JSON files attached, the spreadsheet is here, the prompt that we use is here as well. And then also if we have a look through the list of free NA10 templates here. So there's loads of stuff inside here, right? You see all these different trainings. But if you want all the NAN stuff, we have for example a podcast AI agent. All these have attached templates you can import into N10. Nano Banana, cold email agents, a thousand NA10 free templates, NA10 Slackbot, outbound sales call agent, and a personalized newsletter agent. As well as that, we just dropping new trainings every single day as you can see. And just a quick disclaimer as well, actually just got a few spots left in the AR profit boardroom before the prices go up. So make sure you sign up now before you miss out. If you want to get access to that, just go to the air profit boardroom link in the comments description. You can sign up here, grab a spot before the prices go up. On top of that, inside the community here, we have a bunch of giveaways. It's a very active community. Loads of good value in there. Everyone helping each other out. We have an awesome classroom with a six week AI masterass. All of my best AI automations, my NAN templates, even more NASA templates here, organized by category, as you can see. And then also over here we have a bunch of social media automations, email and content automations, AI agents, etc. and a YouTube automation course there along with my AICO automations. We do five weekly coaching calls a week. So you can jump on five coaching calls a week. Ask any questions you have, get technical support whenever you need them. Right? Hope to see you in there. This community is all about just growing, learning together, helping humanity evolve. Right? AI is gradually becoming part of all of our lives. This is like when the internet first came out. And so basically I created this community number one to inspire myself to keep pushing. Number two to connect everyone that I knew about AI to learn and grow together. And number three just to share the journey with a bunch of cool people, right? You can see all this cool stuff that's happening inside the community here. So hope to see you in there. There's another Q& A happening in 13 hours. So make sure you jump on that. And also, if you just want to hire us to do this stuff for you, feel free to book in a AI automation session on that call. Basically, what we're going to do is audit your time. Then from there, we're going to be looking at what systems you can build to save a lot of time. Then, if you want to hire us, you can. Quick disclaimer, this is probably I would say I think minimum price that we work with is $2,000 per automation. So, if you want us to build this stuff for you, just make sure you have the budget. If you don't have the budget, then just join the AI profit bordering. Today, what I'm going to show you is this viral AI newsletter agent that can basically automate personalized newsletters in one single click. You can see an example right here where it's actually got links to my funnels. It promotes me, etc. I'll show you exactly how to personalize it today. So, you'll also get the free MA10 template, too. So, if we click on execute workflow, for example, you can see it's now running the workflow using the step-by-step process. Really easy to set up. I'll show you exactly how later on in this video. And essentially, what we've got here is a multi- aent workflow. For example, it's taking the titles and topics. It's doing a live web search with Tavi. I'll come on to that later. It's then writing each individual section of the newsletter. And then from here, it's actually going to have an editor AI agent that can edit down the content of the newsletter and then use that to send off and fire off our newsletter. So, let me show you exactly how this works. If we go into NA10 over here, this is one that actually tested a few minutes ago. We type in NA10 here. We can then click on this one. And you can see an example of what we've created here. So, this is the newsletter. It's all nicely formatted as well. So, you can see how every sentence is on a new line. And it's got like some nice sources here. And it's even got some links to my funnels. So, for example, it says, "Want to make AI your advantage? Explore how to automate and integrate AI tools effectively over here. " Boom. We go on here. We've got our AI automation page, and we're sending traffic to our funnels using this automated newsletter. And this could just run like every single day if you wanted it to, right? You see how it's got the CTA under each section. Plus, when we're using this, it's super easy to set up step by step. So let me show you exactly how this works step by step. So essentially what we're using is Tavly. So the first step is to start the Tavly search which is just a click trigger and then we're going to edit the fields. Now inside here you can change whatever you want inside the workflow. So you can change the search query how it's working etc. whatever you talk about right? So let's say for example I want to talk about SEO news right? Maybe that's what I want to focus on for my SEO agency. You can just tailor this to whatever industry you're in. So let's say for example you're in the AI space, you would tailor the newsletter to AI. If you were in, for
Segment 21 (100:00 - 105:00)
example, the SEO space where you could tailor the news to SEO, right? Whatever your industry is, there's a newsletter you can create, right? And you could easily automate this across all your platforms. So if we click on execute workflow, it's actually going to focus on SEO news instead of AI news and it's going to go off and start working its magic to start creating that. A art says, Mr. Julian, good to see you here. Steve says, thanks for all the great info. I am launching my first app tomorrow. Good luck to you, sir. That sounds awesome. And then Quantum AI gives a crazy emoji. So, that's what we're talking about. All right. So, let me guide you through this whilst this is editing. We've got our AI agents working in the background. We're then going to run a Tavly search right now. In the meantime, let me just find that new newsletter we just created. It could take a minute or so to come through, but there we go. Boom. And this new newsletter is focused on SEO, right? Right. So you can see how easy it is to change the topic just by editing that one single field. And by the way, if you want the JSON file to import directly here, go inside the money lab. So AI money lab link in the comments description. Scroll down, go to free NA10 automation templates. We have loads of cool stuff in here, but the one that we're focusing on today is the personalized newsletter template. And you can just grab the JSON file and import it directly into NA10 if you just want to steal this stuff from me. And credit to Nate Herk as well for the inspiration on this awesome workflow. From here inside the tably search section which you can see over here we've got a post. So this is a post HTTP request. We're going to go to the URL which is the search API of Tavi generic credential type bearer off. And then we've got our bearer off account right here. So this is how you set up the credentials inside here. You're going to type in like bearer space and then your API key from Tavi. If you don't know how to do that, basically just go over to Tavi and once you're in Tavi, you can log in, set up an account. I think they do have a free option as well, but I'm on the premium one just to make it easy for myself and you can set up a API key over here. So, you just click on plus, set up your API key. You can see I've not used this a lot, right? So, only 36 requests out of a,000 credits on the pay plan. You could probably get away with the free plan if you really wanted to. I'm not sure, but if not, just get the paid plan. Super easy and simple to use. And then basically, this connects your AI agents to the web so that they can start searching through the web, collecting live news. Now, if we actually go back to this newsletter, let me show you an example. So, this knows what date it is, right? So, it's like, welcome to your latest AICO update for September the 2nd, 2025. It is September the 22nd, sorry, September the 2nd, 2025. And so when you're building out this workflow, it's going to scrape the latest news. It's connected to the internet, right? So if we click on these, for example, is going to, for example, pull in the latest news. This is from August 2025. We have this one that was from the first of September. So you can actually pull in, for example, like tweets and that sort of thing. Yeah. And you can pull in the latest news from the web essentially when you're doing this. Right. Now, if we scroll down here, we've got a send body inside here and we selected JSON using JSON and then inside this section, we've just got the JSON here. Now, you can change the max results. So, you could say, okay, I want to scrape 10 results from the internet. You can have multiple results. You don't just need three. This just makes it simple and easy, but this is an example as well. So, you could have five, you could have 10, however many number of news scripts you want to use, you can. And then also look at the time range, right? So you see here we've got the time range is one week. So one week from the current date. So if you wanted to have it like literally from today then what you would do is you would change this till today, — right? You're not going to look for the last week. So that's essentially how it goes. Jane says so efficient. That's what we're all about. We're all about efficiency here. And so just to recap, post URL authentication with the bearer send the body JSON using JSON. And then we plug in this JSON right here. If you want to get all the JSON from the template, grab it inside the AI money lab. Completely free. Bing bang boss. There you go, my friend. All right. So now what we've got is a title and topic generator. And inside here, what we are doing is taking the latest news results, right? So we've got these news results, Sunday 31st of August, Monday 1st of September, 26th of August, publish date, etc. We've got that news that was scraped from the internet, right? And so now what we need to do is come up with the topics. Now you'll see here that we've got the topics over here. Now you could change this, right? So you could go into NAN because this is just a prompt, right? So this is a prompt. Let me pull this up full screen for you so you can see what I'm talking about. So inside the expression here, we've got you're a newsletter creator with a skill for creating engagement blah blah. What we can actually do is we can go inside for example chat GPT
Segment 22 (105:00 - 110:00)
and we can say rewrite this so the topics are more clickbait and interesting. Right? So if you want to change the style of the topics you can using this process. And then you've got a rewritten section right here. Right? So we could for example take that over here. Plug this in. Change the style over here. And then we can execute that step and just test it out. So now we've got much better titles, much more interesting titles, right? So viral SEO traffic surge citation builder hits 2K SEM giant rebrands etc. That's a much more interesting sort of focus on the topics. And then inside here we have the output structured output parser. Okay. So what this does is it takes the output from the agent over here and it uses a structured output parser to generate the topics. Now when you're actually doing this step by step so when you're using the AI models I'm using 4. 1 mini as an example but what I'd actually recommend is if you want the best quality writing use something like claude 3. 7 is much better at writing than something like GPT 4. 1 mini. You could use chat GPT and other stuff like that as well. You got other versions for chat GPT, but essentially if you want the best written newsletter, I would recommend using CLA. Just feels more human and sentient. Then from here, once we got the titles and topics, we're going to spit that out. Right? So it's going to output the topics. Let me show you an example. Right? So it takes the topics here, pops them, and then it's going to do some more Tavly research. Here we're now searching through Tavi again for those particular topics that we found. Right. So, it's taking the titles and topics, spitting them out, sending them to Tavly, doing more research on that. And then what you're going to see over here is we have the AI agent section writer. Okay. So, we're using chat GPT again inside this section, but honestly, I would recommend that you use Claude 3. 7 Sonic. This is just an example. And inside the section writer agent, we have the topics from previous and the research. Right? So let me show you how this works step by step. So if we go back over here, we are going to execute this step. All right. And so you see how it's scraped for example all these different sources now for the new information. Right? So it's looked at financey yahoo chron4. com getp passionfruit. com etc. Right? All these new sources and then it even gives it a score as well. Then what we can do is we can use that to write the script. So if we execute this step, this is going to start writing the script. Now whilst that's loading, let me show you how we've updated this. So we said third grade language, Alex Moy style, keep it natural, conversational language. You're a skilled newsletter writer. Your job is to write one section, blah blah. Start with a clear heading writing, write friendly, smart, etc. If you mention any stats, link to real sources, keep it short, easy to read, etc. Right? And so that's our prompt for writing the output. And then we've got the output over here. Right? Now this is the raw script and with the raw script we're actually going to use an aggregate to output that right so if we execute this step based on the raw script basically what this is going to do is it's going to take the script writer and output that into three different topics right so that when we get the newsletter like you can see over here we've got three different topics inside our newsletter we've got the viral SEO traffic the citation building example and the W3 3 era's new playbook. Okay, so we've executed that. That's spat that out into three different sections. And then we come on to our editor AI agent. So there's three different agents inside here. We have the title and topics, right? That's going to that's one AI agent. We've got the section writer agent that can like basically take that information and then use that to write the whole newsletter. And then finally, we have the editor AI agent because let's be honest, a lot of the stuff that you're going to get from the first writer, it's going to be a little bit fluffier, a little bit trashy, etc. And so, we're going to use the original content, edit it down with AI, and then send that off. Jeremy says, "I watch so many videos of yours. Thanks for everything you do. Appreciate it. Appreciate you too, Jeremy. " Thank you very much, sir. And that is awesome. I'm glad these videos are helping. We've now got the aggregate input, which is broken down three topics. Then, we're going to execute this step. And this is really where the nicer formatting comes in and that sort of thing. Right? So we're taking the title and the sections over here. And then we've got the system prompt over here. Right? So this is like the user message. And this is basically how the AI agent is programmed. So if we open this up full screen, let me show you how to personalize it to you and your business and who you are. So we say right format it beautifully. So every sentence is on the new line. No long paragraphs or walls of text. Alex and Moy style.
Segment 23 (110:00 - 115:00)
writer is Julian Goldie SEO expert. You could take a lot more information about me, right? So if we wanted to, for example, just get better outputs here. What we can do is we can take the information about us or we could take chat GP. We can say okay research Julian Goldie and create a beautiful create, I don't know, a paragraph explaining who he is, etc. Right? And you could actually use that to create the prompt for NA10. Right? So if you want to make this more personalized, but you don't want to write a long bio yourself, you can easily just take that information like copy that, paste it into NA10 and then you've got information and then we can add the rest of the prompting. So for example, I make sure you have a nice introduction, third grade language, natural, simple, breakdown of these headlines, etc. Here's what you are, here's what you do, et. And then if we escape off that, we'll execute the step. And that will just rewrite the content so that we have it ready to for our email. And then for actually sending the email, you'll see here it came from this email address. I'll show you how to change that in a second. So if we go back to NAN over here. So we got the subject and the content, right? So it basically figures out, okay, here's what the subject line is going to be. And then if we go over to Gmail, we'll send that email. Now before we do that, let me show you the structured output passer as well. So this is using JSON schema to basically format the output, right? So we get like a big block of text from the AI agent and then we use this process over here to basically format this into subject content etc. Right? And see how it's formatted nicely there. So finally from here we'll take the information like so. Execute that step. We've got the JSON the subject line. We've sent the email. Now, if we go back and we type in NA10, we just wait a second. Sometimes it takes a minute or so to come through. Then we're going to plug in enter like so. We've got our N10 newsletter and boom, there we go. So, here's the latest information from our workflow. If we just wanted to run the whole thing again, we can just execute the whole thing, but I just wanted to show you step by step how it works. And then some people will probably watch this and complain about the writing, but like I was saying, you could use Claude to create something much nicer in terms of the writing. I just want to show you how you can use multiple AI agents to edit the newsletter before you send it. And then that's going to fire off now in a second once open AI is done. And then that's sent the message. All right. Now, the other thing to note here is that you'll see we've got the Gmail account set up, right? So, you can edit the Gmail account. It's really easy to change the email that you send from. So what you do is you go to connection sign in with Google and it's lally just like a oneclick sign in message send as the operation two is the email address subject line is the JSON output from the subject and then the content itself is the message right so you take that content you drag it in over there so if we go over to now we've got that new workflow you got all the sources that scraped And then for example here you see under this SAM powerhouse reborn blah blah you've got the if you want an AI powered edge in SEM and SEO see how automation can help and then it sends people over to our funnel link right so it can drive traffic to our funnels it's all personalized to us and it takes all that information and uses it to create a nice optimized newsletter. So pretty easy and simple to do. You can change who you send it to as well. So you can feed in some information over here. And there you go. Cash creator says, "I learned a lot from you. I've not made any money, but I know how to automate things. " Yeah. So if you really want to learn this stuff and how to use it in an actionable way. So we cover a lot of automations on YouTube, but if you want to learn how to really implement this into your business, join the AI profit boardroom, link in the comments description. We actually do weekly NATM master classes here live, right? So you can jump on the weekly NHN master classes here and then we have five sessions a week where you can show up, ask questions, etc. And also inside the community here, you can post your questions. We actually have a big giveaway going on inside the AI profit boardroom as well. It's exclusive only to members. Additionally, you can see we have a bunch of courses. So all these different courses right here. And then like I said, we have five weekly coaching sessions a week. It's also the only place where I actually answer DMs and personally connect with people. So if you want to join me, feel free to join the air profit boardroom and we can learn and grow together and you can learn how to implement this stuff inside
Segment 24 (115:00 - 120:00)
your business. So for example, for me, all these systems right here, we actively use inside our business every day. So if you want to learn how to really scale and get more customers and leads, etc., then just check out the AI profitable. And that's basically it for the whole workflow. Like you can see again you can get it for free inside the AI money lab. So link in the comments description. Go to the AI money lab or just Google it if you can't find it. Go inside the classroom here and then scroll down. Go to NA10 automation templates and boom shakalaka you have this right here. We also have a bunch of other NA10 templates like you can see. So for example like yesterday I created this podcast AI agent which was pretty wild to be fair. It's really cool. Yeah. And you can just get the JSON files right here. Right? So for example, if you want to import a JSON, let me show you how to do it. So you just go to create workflow, go inside the money lab, click on the resources, download the JSON file like so. Then you're going to go over to NAN, click on import from file. Boom. There you go. And then you can just plug in your details into each section. So if you want that for free inside the AI money lab along with all this other stuff, right? So we've got for example like a nano banana automation, a cold email agent, a thousand 10 templates, slack channel automator, outbound calls agent and the podcast AI agent as well. Plus you get all these other trainings too and then also we drop like daily trainings right here as well. So you can see here we got all these different trainings. So feel free to get that inside the AI money lab. And if you want help, if you want support, if you want coaching, then join the AI profit boardroom. All right. Finally, if you want us to just build this stuff for you and set up directly for you, then feel free to book in a free AI automation session. On that call, what we're going to do is look at your business, look at where you spend the most time and then figure out, okay, what automations you need for your business and how can we set them up for you. So, if you want to book in a call about that, feel free. Even if your time is worth, let's say, $100 to $500 an hour and you free up a few hours a month, that will pay for itself, but you can actually often we find like most of the clients we work with save about 100 hours a month based on what's working for me and my team. All right, so appreciate you watching and I will see you on the next one. Before we go, I just want to answer some Q& As's inside the community here. So, let's see what we got. So, Paul was asking about a content marketing strategy prompt. I want to create prompt that will give ideas for social media for a particular niche. Anybody know of some good ones? Yeah. So, there's some interesting ways you can do this. I mean, you could use just that part of the workflow I was talking about earlier. So, just a tably search right here. And also inside the AI profit boardroom, we have a Reddit well that can search through the web and scrape information. So if we go to the classroom of the AI profit boardroom n templates inside here what is we have this Reddit bar that you can scrape and find content marketing ideas based on just scraping the web right so it can look through for example different Reddit posts the internet it can look through Reddit like you can see right here and then it figures out okay what are people talking about again that's inside the air profit boardroom you can get the JSON file right there and then also you can just go on to chat GBT and ask it as well. So you can say okay what the trending headlines directly inside my industry. The other thing that I use is let me pull it up right here. I use Lindy as well. So Lindy is pretty cool. This gives me some good news headlines daily. Basically inside here it will give me all the content ideas that I'm going to create content around. Right? And so if we have a look this is how I get my YouTube ideas. And the way that we do this is basically I have a bot inside Lindy and you can automate newsletters this way as well. So this is an easy way to do it if you want to learn how. So if we go to this AI agent, what this does is it uses Plexity on autopilot. So every few hours, every 6 hours, it searches Plexi for the latest information, the latest news headlines, and then sends me an email for the breakdown. Now, if you want that exact workflow, what you can do is if you go to SPS and then scroll down to Lindy templates, you'll find the newsletter automation right here. I'm just going to paste that link that's inside the AI profit boardroom. I'll fill that out properly later after the live stream, but essentially that's how you can get a good content marketing strategy prompt, too. All right. And then Martm was asking about AI generated social media content. I've already answered that.
Segment 25 (120:00 - 125:00)
Let's see what else we got here. Yeah, I think that's pretty much it for the latest Q& As's. We answered a lot yesterday, so we're good to go on that. All right. Hope to see you inside the AI profit boardroom. If you have any questions, let me know and I will see you on the next one. Cheers, peeps. Bye-bye. What I'm going to show you is exactly how to automate podcasts using NATE in one single click about any topic that you want to create content around. You can also change the voice, you can edit it, etc. Let me show you exactly how this works step by step. So essentially what we have here is a podcast automation and you will get the template for free at the end. I've actually broken down how it works step by step in each phase as you can see right here. And then if we look at the final delivery, right? So we've got the step-by-step process here with NA10. If we look at the final delivery over here, we have the downloadable file, right? And so what you can actually do is you can view or download this. So if I click on view here, we can actually play the podcast. Now, this is generated automatically with AI in one single click and I'll give you the template for free inside the AI money lab. So, if you go inside the AR money lab link in the comments description, go to the classroom, scroll down, go down to free NA10 automation, and then you can get the JSON file right there. Boom. Shakalaka. All right. So, the way that this works is essentially we're automating the text, the script, the automation of the actual narration. And narration is actually an AI as well. So, if we click on play here, we could listen back to the podcast we've actually generated. All right. So, it's basically created like a full podcast as you can see. Really easy to do. You've got the episode ID. It takes all the information from an automatic RSS feed that we have and then generates this. Right? So, you can see how this works step by step. So, the first stage here is you're going to plug in an RSS feed. Right now, if you want to run this, all you have to do, pretty simple, is you just click on execute workflow over here. And that will start running the automation step by step as you can see. And the way this works is it's taking a Google News RSS feed. Now, you could use whatever you want, right? But this is an RSS feed that we've plugged in from Google News. So, if we open this up, let me grab the HTTPS here. All right. So, you can see this is an automatic RSS feed. And then down here, we have all the information that we want to feed into it. Right? You see, you can take all the news from whatever RSS feed you want and then generate a podcast around it. You've got the details of the RSS over here. And it's pretty simple and easy to do. Now, from here, what you can see is that we are filtering and validating that step by step. So, you can see here it's actually taking all the events from the list of the RSS feed and then using that to generate different events right here. So, it's breaking it down into like content, categories, it breaks down the description, the thumbnail, etc. main thing it's going to be focused on is the actual content itself. And if there's an error along the way, you'll see this. From here, what you're going to see is the batch content scraper. And this basically scrapes the content from the RSS feed. Right? So you can see here it's taking all the information step by step. Now we're actually using fire crawl to do this. Right? So if we have a look at this API here, we've actually plugged in a post. Then we're using the URL the firewall URL over here. Credential type equals header off and firewall as the authentication. We're sending the headers. So the content type JSON and then we're sending the body. And this just basically what this is doing if you're not aware is it basically it's using the fire call API that can access the internet to scrape all the information from Google News and RSS feed and then it's going to use that to generate the content step by step. You can see here for example we've got the details like that. This is really good actually for generating local news as well and then you can take that information and plug it through. Now from here it's going to validate that. So all the news as you can see using the JSON and then it's going to break that down as you can see. So this is a long list of JSON down here and then you can see that's now generating the content like so just to re recap here. So what it does is it will take your RSS feed, scrape all the content, aggregate it nicely, and then it's going to plug that into a script generator. Right now, we're using chat GPT to generate this. You can use whatever you want. Right? So you could use a free API if you wanted to, if you wanted to save money or you're on a budget. And if you wanted to do that, basically over here, what you do is switch this to open router, right? So
Segment 26 (125:00 - 130:00)
you delete that chat module, change it to open router and then open router can use a free API to generate the script. Okay, once we've scraped the content, aggregated it into JSON. So it's going to find like a few good quality events locally, then it's going to come up with the script writing as you can see here. And if you don't like the outputs of the script, what you can actually do is you can edit that, right? So for example here we can take all this information and then we could if we pull this up this prompt we can actually change this prompt and plug it into a totally different result. Okay, pretty simple and easy. It's going to take that information like so you can edit like the narration structure, the style, etc. the target audience. We pull this up full screen. So, for example, you got the role and the goal, you got the podcast context, narration, style, principles for how to use it, etc. Sound effects. Everything you can imagine right there. Pretty cool. And then from here, it's going to just validate that the quality of the content is good before it starts publishing it. So you can see here, it's taking all that information, validating it with this script, and then we get the final script from there. Now, once it's validated the script, then it's going to synthesize this. It's going to send the script to 11 Labs API and generate an MP3 version of the script. So, if we open this up, you can see that we're actually using 11labs with our API key. All right. Now, if you're not sure how to use 11Labs, you can just go to 11labs. io and if you can log in here and then start getting the API key directly from your settings. So, if you go to developers, go to API keys over there, you can grab an API key directly from 11 laps. Sporter says, let's go. And then from here we have the method. So we're using a post method with HTTPS. We're going to use this text to speech module from 11 Labs generic credential type header off 11lab key. Right? So you just plug in your API key into the header off. By the way, if you need help like implementing all this stuff or customizing it to you, etc., then make sure you join the AI profit boardroom link in the description. This basically shows you step by step how to implement AI in your business including lots of NA10 templates and also we have weekly NA10 master classes like you see right here where you can jump on a call ask us any questions you have if you get stuck in between those classes you can actually post the community ask us any questions you have and we're happy to help you. All right. So once you've done that, then you're going to specify the query parameters. Right? So you can see the output format is MP3. Send the body. EUIS JSON as you can see. And then once you've done that, you're going to see this podcast generated. All right. Now, you've got actually got a breakdown of the quality metrics as well. So you got the word count, the quality score, etc. over here. And then that's finally going to process it into a podcast episode right here. So you got the string breakdown podcast episode, all the details. You can download that if you want to. That'll download it as an MP4. And you got the file down here ready and playable if you want it. And that's basically how you can edit and add a podcast. Now, if you really want to change the prompts, etc., Then you can go to this section over here and you can just edit this however you want. So you could actually take all this you could go to something like chat GPT and then from here you could say okay customize this to my podcast about AI news. So you can edit it like that, right? And then from here we can take the information. It has removed the markdown which annoying but you can see how easy that is to do. And if we need to change that more we can say okay first of all into NA10. So you need to include markdown #. All right. And then once you've done that, we can take that back. We can go back to N. And you can try plugging that in and just tweaking it. If it doesn't work, you can always reverse it. But basically, you can test it using something like that. He says, "Wow, insane. " Right up there with Jason and Michael Myers. And then Sporter says, "I would like to
Segment 27 (130:00 - 135:00)
make an automation for a 91year-old woman that spreads a message of hope. Could I use an automation or would it not be sincere? Honestly, like if you're making it for a 91 year old woman, right? I'd probably just record it yourself and sometimes you have to be a human. So yeah, I think that would be a better one. Just do it yourself in that situation. Have a personal touch. So let's execute the workflow like and then we can run this step by step throughout. So now it's changing the script based on the new instructions we gave it. Then it's going to validate the script. generate this. Right, let's have a look what script it came up with. Yeah, see you got the text here. And then that will loop back to the JSON module as well. So it will just reloop itself over and just do it again. Then we'll wait for that to load. It can take a few minutes just to generate the podcast right there, but that's okay. And this is just want to give credit where credit's due here. This is inspired by a workflow from the recap AI automations on YouTube. Really good channel. Definitely worth checking out. But they created an awesome workflow that shows you exactly how to do it. Very, you can see this was similar and inspired by it. But obviously our workflows is different, but you can see how it works. So let's go back to N10. Now we've generated that. Let's pull it up. Right. So that output is much better since we tweaked the prompts. It's much more relevant, etc. So it's really good. I love the way that it's just so easy and simple to set up. You can tweak and change the prompts. You can edit it how you want to. You can extend the word count and everything else as well if you want to depending on how you want to do it. Cut the check says, "Looks complicated. Is there a way to use this for daily fantasy sports? " Yes, it always looks complicated. if you need like help or support cuz I know this stuff can be intimidating. Then just join the AI profit bordering because you can connect with me personally. It's the only place I really connect with people and I've created this community here just to help people more. Right? If you get stuck or if you need technical support, if you don't know where to put the APIs or you just you want to jump on a call with someone who can actually walk you through it like you can inside the calendar here, then join the AR profit boardroom. Right? So it does feel complicated. If you want to learn NA10 from scratch as well, inside the air profit board here, we have a full step-by-step six week master class that literally guide you from having zero knowledge to being able to build your first AI automation on NA10 within 5 minutes, right? So yeah, if you're struggling, just let us know and join their profit. But essentially, but if you wanted to change this about something like sports for example, then all you would do is you go over here and change the JSON, right? So, in the generate RSS URL, you're going to go over here. You're going to take this and with the RSS, you would change this to daily sports news, right? So, let's change that over here. Daily sports news. Boom. Shaka laka. We're good to go. And you can just grab the daily sports news right here. The other thing that you could do is you could go back to NA10 over here. and inside the instructions that we were looking at a second ago which are this section right so you got the expression with all the details etc. So you can grab all of this, copy it, go over to Chat GBT, and say now change this to a podcast about fantasy sports. Right? I'm just going to say make the word count 1,000 plus words. And then you just want to make sure you use the JSON plus mark it up being knocked down. And then what you can do is just change the prompt so that it's customized to whatever you want. Right? So you see how this is changing it down. It says you're an expert podcast script writer for a fantasy sports podcast called blah blah. Then you're going to take all that information and use that to generate your output. All right. So then what you would do from there is once you've got all this information, you're going to go back over to 10, paste that in, run the automation again, and that's how you can customize it to whatever you want. Right now, if we scroll up here as well, you can see how it's broken it down for sports, right? So it's like raw news information, include injury reports, matchup previews, expert columns, etc. So, it's really personalized it to the fantasy sports factor. And yeah, it's really well. Now, if we go back over here, if we escape this, get off that, we'll go to evaluations. Actually, no, sorry. We'll go to executions, right? And you can actually see all the different executions here. So, if you want to like restore previous outputs you've done
Segment 28 (135:00 - 140:00)
then you can just click copy to editor. All right. So if we have this output s we can click on copy to editor unpin everything open that up and that'll give us the old podcast we generated right so if you want to previous ones and then also what you can do over here is if we go to let's have a look here yeah if we go to the 11 labs module itself you can see that we've got an ID for this so you can actually change the voice that you generate the output in as well. So if you want to change your voice and use a different voice on 11 laps, you can. The other cool thing with 11lapse is that you can actually clone your voice and then you can change this to something else, right? So what I mean by this for example is if you go to voices over here, then we're going to go to let's have a look here. Maybe let's have a look at my voices. You can take one of these other different voices over here. You can actually explore. The other cool thing that you can do is you can have your own voice, right? So if you go to my voices, create or clone a voice, you can clone your own voice and then have that narrating the podcast. Some people say, "Oh, you can do this inside notebook, etc. " But the problem with Notebook LM is that you can't customize the voices. It's the same as everyone else's. So it falls into that bracket. I've heard this voice before on a million different podcasts because people are just smashing out this AI slop of the internet, right? Whereas, for example, if you use the process I'm showing you, then you can actually have a cloned voice, your own voice, creating the podcast, you can generate much better outputs and it's super easy to do. And then we've got that all ready to go over here. So, let's just break down this process step by step and I'll walk you through just to recap how it works. Right? So, the AI podcast generator essentially what you could do here is you got phase one input and feed transformation. Right? So here you're going to take the URL from the RSS feed and use that to program the rest of the podcast and that's going to be the content. Right? If you want to change it, you just go to Google News, find a different URL about whatever you want to talk about and then you're good to go from there. Now once you've done that, then you're going to do the content scraping. So basically that's going to validate the events. It's going to scrape through all the events using the fire cruel URL and that's going to use it to process all the events. It's going to aggregate that into a way that the AI can understand it so that at phase 4 we can generate the script and again you can use open router or a free API for this. Once you've done that it's going to validate the script. So it actually checks it for quality at phase 5. Then it's going to synthesize that into an audio version using 11 laps. And finally, you've got the final output at the end that's downloadable and hostable anywhere you want, right? Which is this bit right here. So if we click on view, we can just open it up. We've got the podcast episode details over here. Boom. Shack and we're ready to go. All right. So really simple and easy. Alex Sharp says, "I missed a lot of it. Is there a way to review this? " So you can watch back the live streams on my YouTube channel. Otherwise, what we actually do is we edit this version down and we republish it as a sort of much quicker, smoother video later on our main video. So, if you want to watch this back, just watch it back here. If you want to see a smoother version of it, then we'll post it on our video section, which is edited down and that sort of thing. And if you want to get the JSON file that you can just import, go to the AI money lab, go inside the classroom here, scroll down, NA10 templates, boom. We've also got a bunch of other NA10 templates, too. You see, we've got a nano banana image generator. We've got a cold email agent. We also have a thousand NA10 templates, a 10 Slack, bot, and also an outbound calls agent, right? And all the JSON files are just attached at the bottom there, so you can import them into Blend. So, pretty amazing what you can do. My mind is always blown when I'm testing this stuff out. Absolutely love it. It's quite easy to set them up. And then once you've done that, you're good to go. So if we go inside my edit 10 right here and we bull this up, you can see for example here we have a podcast generator, image to video generator, cold email template, etc. There's so much cool stuff that you can do inside. And if you need help like figuring out, okay, how can you actually implement this for your business? How can you make money with this and get clients with it and scale your business and actually save time, right? Well, then join the AI profit boardroom. Inside the air profit boardroom, we have an awesome community where you can ask any questions here. We also have the classroom with all of my best courses. As you can see, on top of that, we have the calendar with daily live calls. So, we have five calls a week. If you can't join the live call, you can watch them back inside the recordings which are down here. All right? Coaching calls and Q& A call recordings. And then also, you
Segment 29 (140:00 - 145:00)
get so much more, right? So, that's just a little taster. You can see, for example, you get plug-and-play AI workflows, daily Q& A with me, unlimited tech support, five weekly coaching calls. I also do giveaways each month as well. And we have a double guarantee, right? So, you get a 7-day no questions asked refund guarantee. If you want to sign up, check it out. If it's not for you, no problem. Just DM me. We can get you a refund. And then we have a 30-day ROI guarantee, too. On top of that, the other thing I was going to say is that we do a daily Q& A each day where I basically run through the community and answer any questions that people have, right? But for example, here James was asking like, how do I find a video article? We actually got all of the links to all of these different things right here. So, I actually just link directly inside here to all the stuff he was asking for and I answer it personally. Let's have a look here. So, Alex is asking about how to generate ads like this. This is quite easy to do. So what you can actually do is you can go over to hey genen they have the avatar version where you can generate the outputs or what you can do is you can actually generate outputs with with3 as well that can generate UGC ads as well. We're currently working on an NA10 automation that can do that market research. So if you want to find market research basically what you can do over here is you can go inside the AR profit recording and then if you go inside the classroom and you go you type in actually we'll go to LA10 templates over here. So we have two different options. You can ex extract trends with this automation right here and again you can just import the blueprint into NAM or what you can do is you can go over to this fire crawl bar and that will research Reddit for you with the basic trends as well. So those are two different options to do it and pretty simple and easy. Martier says, "Which AI video tool a video generated from an old picture preferably shown an item? The person is in the AI video talks and it's based on script. " So, what you can do with this is you can actually use something like what shall we say here? I think you could do hen for this. So, if you go to hen, we'll just log in here. So inside hen here you can actually upload a picture right. So if we go to avatars let's go actually go to home go to photos to video plug in your photo over here type in your script generate the video and then you can generate the video however you want using that process. So basically this is how you can do it. But you would basically take a screenshot of the video and you would use images to generate it. That's basically the way that it would work. The other thing that you can do is you could just create a new avatar inside hey gen. So if you go to avatars create new upload the video that you have and then you can create a new avatar that way as well. So those are two different ways to do it. And if you want to add an item to the image, so what you can do is before you even plug this into Hey Gem, you can go into Gemini, you can say, okay, let's just say we're going to generate a picture of a monkey, something like that. Let's say before you generate the video, you want to turn this monkey holding a pillow or a milkshake, right? We'll put monkey of a milkshake here. Give the monkey a milkshake. Right. So before you plug this into Hey, genen. I'm going to say edit the image. So the monkey is holding a milkshake. It's good for you to see how I troubleshoot here as well. So for example, Banana was not working a second ago. All you do, you start a new chat, you upload the image again, you give it the prompt of how you want to edit it, and then boom, you've got a monkey holding a banana based on the original image, right? You see how it's change the image that it's got his hands around the banana, etc. So then once you've done that, you can download this. So you got those two. Again, you would take a screenshot from the video, edit it with Nana Banana to add the image, and then you're going to plug this into Hey Genen. So, if we go home photo to video, upload that image we just generated. And then for the voice, you can select whichever voice you want, right? So, if you go in the hen library, you can select whichever one you want. If you want it, if you want them to be English, then you can click on English over here. If you want to change the accent, you got a bunch of accents here. So, let's say, for example, you wanted a UK accent, you could plug that in and then you can just generate the script, right? So, if we gave it a script, I like eating bananas.
Segment 30 (145:00 - 150:00)
Generate the video. There you go. That's how you can do it step by step. So, that's basically it in terms of the latest questions from the AI profit boardroom. I've shown you how to use the podcast AI agent, how to upload the JSON file directly inside here. Again, if you want me to record a video for you, just like I'm doing right here, join the AI profit boardroom, ask any questions you have. Be happy to help you. And if you haven't got the automation already, join the AI money lab. We drop daily trainings inside here and this is completely free. You also get all of these trainings inside the classroom and you get all the MAT templates as well. Now, if you need help with this stuff, then join the AI profit boardroom. Inside there, you can connect with me personally, ask any questions you have, jump on the calls, jump inside the community. We can all learn and grow together as we build this community up. And then finally, if you want to just hire us to implement all this stuff for you, feel free to book in an AI automation session where basically on that call, we're going to use the AI time machine process, which is basically where we audit your time. we figure out what you need to build and then we're just going to go off and build it for you once you become a client. So, really easy and simple process. Feel free to book that in and I will see you on the next one people. All right, cheers. Bye-bye. Here's how to build and replicate any N8N AI agent in one click using Claude. So, you can see for example here we actually screenshotted the workflow we wanted to replicate. Then we created the JS inside Claude. I'll show you how in a second. If we paste that into N8N, you can see that has come out perfectly. And today I'm going to show you exactly how to do it. Now, I just discovered how to build N8N AI agents in seconds using Claude. So, you can basically take a screenshot of any N8 workflow. I'm going to show you exactly how to build up a customuilt project like you can see right here. So, you'll get basically awesome copypaste JSON that instantly creates the entire automation. Setting up your custom N8N project. And in this video, I'm going to show you how to set up Claude with the customuilt instructions. Like you can see right here, you'll learn the exact prompt template that makes Claude an N expert basically instantly. And I'll show you how to replicate any workflow with just a screenshot, even adding custom modules. And you'll get the free resource I created so you can steal this entire system from me. So I'm going to show you how to basically get Claude to create and copy almost any template you can find. So basically what Claude can now do using this process I'll show you is very specific and I'm going to show you step by step exactly how to set it up. It can now create agents like you can see right here that basically copy and paste and then you can paste those directly into N. Right? So as an example this is one I actually built earlier and if you want to build this out yourself let me show you how. So we'll just delete that. And this agent is customtrained on N8N's documentation to be able to build and copy paste N8N templates, right? Creating and replicating workflows. So for example, I actually took a screenshot of this N8N workflow that I wanted to replicate. Then I said recreate this workflow. And if we copy this information right here and then paste it directly into N8, you can see that it basically creates a really simple workflow based on our screenshot. Right? So this was the original screenshot and this is the whole workflow and you can see it's even added the same sticky notes inside the workflow. So we can easily just copy paste and replicate any N8N workflow using this customtrained clawed project. Here's another example. So if we grab this one, let's copy this and then you can see this is one that you can easily build out. And yeah, it's a simple but powerful workflow. All right, I want to show you another one as well. So if we say for example create an AI voice agent for N inside the N8 JSON builder it's now going to start coding that out right. So you can see it's thinking about it and it can basically produce like copy paste JSON code right advanced customization and examples. So the way this works is we've actually got this custom train prompt over here. I'll put it inside the AI profit boardroom. So you can get the prompt if you want to just steal this stuff from me. But basically we said you are an N8 expert N8N workflow generator. Your job is to create fully functional N8N workflow JSON that can be directly pasted into N8 to create working automations. JSON should be complete valid ready to use blah blah. Then we've included instructions on how to do that what to set up etc. The output format and the goal that is directly inside the project details of this agent. Right now, what you can also see here is that we've attached information on the JSON cheat sheet for N8N and also a bunch of other N8N templates that it can learn from. Right? The way that this works is let's take for example this information right here. Basically has documentation on exactly how to build out AI agents. Now, I've attached that all inside the AI profit boardroom. So you can just upload this knowledge if you want to. Essentially to set this up if you want
Segment 31 (150:00 - 155:00)
to create a new project inside claude that can build stuff like this. You just click on projects in the lefth hand side. Then you're going to click on new project. From here create project. And then from here you're going to name your project. Right? So for example claude nan assistant right we'll create that project. Like then from here inside the project knowledge we're going to upload from a device and I'm going to take that information that's inside the AI profit boardroom and just upload that. So, what I also like to do is just upload a few N8N template projects. So, I've actually got some of those inside the AI profit boardroom. But if you want to see an example of how I do it, we can type in JSo here. Scroll down, get the web scraper agent that I've previously done, grab the appointment set agent, upload those, and we're good to go. All right. Now, if we go back inside here, and let's say we want to replicate this particular agent, we can just take a screenshot of any N workflow that we want to replicate. Then we're going to go back into Claude and using the project and the project knowledge we set up, we'll paste in that screenshot and we'll say replicate this into a JSo format for NAN. Crypto white hat just tipped $5. Thank you very much, sir. Appreciate that. And Nicholas says, "This is scary. Reminds me of malware. I think you're referring to the MCPS I showed earlier. " If that's the case, yeah, just use that stuff at your own risk, but you do need to be careful what you install. I show this stuff as a guinea pig, but obviously you do need to be careful in terms of what you build, how you build it, what you install it, etc. And that's down to you and what you want to do, but I take the risk for you. Now, we're going to wait for this to load. And you can see it's basically building out the JSo format, right? Which is pretty cool because then you can copy and paste this stuff directly into an 8 end. So, we're waiting for that to load right now. And then do is just copy and paste that in, right? So, for example, this is the original template. that we took a screenshot of. As you can see inside Claude, here's the screenshot. And then if we go to overview, we'll leave without saving that. We'll create a new workflow. And then all we're going to do is take this information like copy it, paste in that information, and boom, shakalaka. We've got the AI agent fully replicated, right? All right. So, we got the outbound dial, the structured output paser, the open AI chat. That's you saw the original a second ago, which is this screenshot right here. And this is the workflow automation that's created, right? Nice and simple. We could say as well if we just want to add an extra option to that, we could say, okay, add a Google Sheets node to this too, so I can output the agent workflows to sheets, whatever. And let's say you want to add an extra module to your N8 template, but you don't want to add it manually. You can get Claude to put out the JSo. Now, one thing I want to say right here is this has worked beautifully this time around. So, you can see that automation is actually awesome. Like, it looks really good. I don't want to BS you though because sometimes it doesn't go that well. And if that's the case, you just need to tidy up. But what I will say is that typically it will give you the 80/20, right? So, like the 80/20 of the format and then you just need to make a few changes before you finally go live and test out. But in terms of adding the modules, setting it all up, etc., it is quite easy to set up with this Claude AI assistant. And if you're wondering how do you set up, you create a new project. You insert the custom instructions from the AI profit boardroom. You upload the knowledge inside the resources section, as you can see down here. And then from there, you are good to go with your NAN agent. And what I'd recommend is that you don't necessarily describe what you want. Instead, what I'd recommend is that you actually take a screenshot of what you want and then replicate it that way. That seems to work a lot better, right? Because then it's got a visual understanding of what you want, right? So, if we have a look, this is the new workflow from NA10, the claude assistant. And then you can see here it's taken exactly the same workflow, but this time it's added the Google sheet module as we requested. Right? So, we've just literally copied and pasted that in. It's taken the Google sheet section, like you can see that's all plugged in, ready to go. And then we just need to map this out and connect it to a Google sheet. But essentially that's how you can set up the whole process. Really easy to just copy paste and replicate almost anything that you want. If we go back to N8N over here. All right. And then inside N8N we're just going to go to templates and find like a template that we could actually set up as an example. Then we're going to take this template like we'll copy that image as you can see. Then we're going to go back to Claude, start a new chat inside the project section. So let's find the N8N assistant that in. And then we'll say recreate this. And literally, I would say in about 60 seconds, you're going to have your full JSON ready to go. Now you might need to say in your instructions as well, just recreate this in JSON for N8N, etc. That's essentially it, right? Just going to go back to the original JSON builder. So here we go in and then it's going straight into JSo as you can see, right? So it saves a lot of time, automates
Segment 32 (155:00 - 160:00)
replicates, copies and pastes for you. And to be honest, like what you could even do is you could link this to something like the MCP browser agent. So I've got browser MCP there. I could go inside Claude like and I could say create that JSON file inside the project section and then go to NAN and paste it in as a new workflow. You could probably fully automate that if you wanted to. I'm not going to do that in this video, but I just want to give you some ideas of what you could build, etc. So, if we just copy this JSON format from the JSON builder, then we're going to go over to N. We'll paste that in. And there we go. Crazy thing as well is if you actually compare them side by side. So, this is the original and this is the version that we created. This version actually looks a lot neater and nicer, right? Super neat. It's super tidy. It's got nice sticky notes there as well. The automation is fully linked together as well. And it was so easy to build that just using this custom N8N project builder. Now, actually took me a few hours to figure this stuff out, but essentially if you want to just steal it from me, take the custom instructions, take the custom knowledge inside the AI profit boardroom link in the comments description and then you can just grab this stuff from me. The other idea that I had as well was that what you can actually do is you could go to N8JSON builder like you can see you can go to claude projects then go to new project type in all the details you want, right? And then we can actually take the official N docs from GitHub and load that as knowledge inside Claude. Right. So if we click on the plus sign under project knowledge over here, then we'll click on link, hit the copy and pasteable GitHub URL, paste that in, and then you can select which official documents from N GitHub you want to custom train that project on. Right? and then you're probably going to get even better outputs because you're using the official documentation from N8N to build out your copy and paste machine, right? But either way, you can now get your AI agents uh to build other AI agents and replicate any N8N workflow that you want in a copy and pasteable format and it's completely free. It's crazy. So, feel free to get all my notes inside the AI success lab if you want to steal this stuff from me. Again, you really do need the knowledge. So, you need to download that. Make sure you've got that plugged in as well. And that is free inside the AI success lab. If you want support and help and you want an amazing community of people all interested in scaling and growing their business with AI, including using N8N automations, then feel free to get the AI profit boardroom. This is an awesome community where you get DM support, you get weekly Q& A calls, you get a community you can post in and ask questions to, and there's 584 serious entrepreneurs trying to scale their business with AI. Feel free to get together. I just built a one-click viral video shorts machine with AI, as you can see right here. And what I'm about to reveal will completely automate your content creation whilst you sleep. This system takes one long form video and transforms it into hundreds of edited clips with captions, music, auto posting, all without touching a single tool, as you can see right here. Now, what you're going to learn is the exact N workflow that clips your videos, generates captions for every platform, and schedules posts automatically. And you're also going to learn how this AI rates each clip with a virality score and selects only the highest performing segments. And on top of that, you're going to discover the secret method to turn one long form video into over 100 shorts that post themselves across Tik Tok, YouTube, Instagram, and everywhere else. So today, I'm going to show you how I created this shorts clipper workflow that basically takes my long- form video content, clips it into shorts automatically. You can create hundreds of shorts if you want to on autopilot and then generates the shorts, sends them to Google Sheets and you can actually auto post them to YouTube, Instagram, Tik Tok, etc. I'll show you exactly how to do that in a second. If you want to see an example of the video, let's pull this up some weeks. So, this is the short clip with the captions and the audio directly. You can see right here. And if we actually unmute that, let me show you an example of how it sounds. Manus AI agents now have Bee3 built right in. And this is your blueprint. This was created with an N workflow. I'll break through exactly how you can build it step by step today. And the other thing to note about this is it even adds music to the content and it's all done with an API. So, let me break down exactly how it works step by step. You can see the full workflow here. Pretty neat and tidy. If you want to just download the template, then you can get that inside the AR profit boardroom. Just go to the video shorts clipper in the classroom and then you can download the JS and just one click import that into N8N. Pretty simple. Once it's done, you can see that we actually post the shorts automatically to a nice little spreadsheet like this. And then we are ready to go. By the way, just a quick one here as well. Just want to say that this was inspired by RoboNuggets, which is an awesome YouTube channel. I didn't use his template, but I did build it from scratch based on his video. Definitely worth checking out his channel. Awesome stuff. And basically what you can see here is we've got three
Segment 33 (160:00 - 165:00)
stages. So we get the video URL of our long- form content. Then we're going to generate the video. add the shorts URL to Google Sheets. Now let me show you exactly how this works. So the first thing that you want to set up is a schedule trigger like you can see right here. And with this schedule trigger, essentially what you can see on the schedule is once per day, this triggers, it looks through my spreadsheet, generate some shorts based on what's ready for production. So gets the videos from my spreadsheet, and this is inside this sheet template. Now, if you want to get that sheet template, I've actually got it inside the AR profit boardroom. So you can steal it from me. You can just go to file, make a copy. But basically inside this spreadsheet template, you can actually grab a YouTube URL for the final output and then use that to generate the shorts. Right? So for example here you can see that we've said get videos from my Google sheets within document get the row and then look for only videos with the production that says need shorts right. So if it says for example shorts created that's going to be filtered and not used in the automation. But if it says need shorts, then that automation will be used, right? And it will create a short clip based on the automation that we want. From there, once we've got the long form URL, and by the way, you want to make sure that it's youtube. com/watch. So, make sure you use that type of URL, not like the normal URL from YouTube. And then from here, what we're going to do is we're going to be using a tool called clap. app. And this is really cool for turning videos to shorts. So you can see for example here we've got a bunch of short content based on the long form video and essentially inside clap what you can do is you can get an API key for turning videos into shorts. So you can paste a YouTube link in here it generates a video and then that turns into a short. So once you've set up the which is the endpoint you're going to make sure you have post inside this HTTP node and then on the header off I've used authorization and then the key like you can see right here right that's basically how you set up the API so you just put in authorization as a name you can rename this clap in the top left so you can reuse this automation whenever you want and also inside the value you just passed in your API key if you're wondering how do you get an API key from clap what you can do is you would just go to account to get an API key. What you would do is you just go to clap. app. Then you can find this example. And from there you can go in the rest API and grab an API key like you can see, right? Pretty simple and easy. Now once you've set up the header, then from here you go to send body and inside the send body section, you select using and then you can see how we've set this up. Right? So what it's dynamically doing each time it's taking the video URL from our Google sheet and then plugging that into the body right here. Make sure as well when you're going through each step, you want to test the step, make sure the data is loaded, and then also rightclick this and pin it. Right? The reason you want to pin it is because then you've saved that data so you can use it on the next module. Right? So, for example, if we click on this, what it's actually doing is it's pulling in the information from our Google sheet, which was the last module, and then plugging it through here. So, test each step, make sure it works, etc. And you can see we've actually set up the dimensions. So you can change the dimensions if you want to. And you can also change the minimum and maximum duration of the clip, the target duration, the language, how many clips you want to generate. So for example, if you wanted to generate like 100, you really could if you wanted to. Wouldn't recommend it, but you can. And then you can go from there. So once you've generated the clips, then you're going to wait. Usually it takes about 5 minutes to generate, right? So for example here you would put like 500 seconds in the weight amount and then you can see it's pulling in the data right here. So it says status processing and then you check the shorts and you just make sure this is done right again for the authentication we're using generic or off type using the clap credentials we had previously not using sendbody send headers or query parameters and then in the URL we've got api. clap. appv2/tasks/ app v2 /tasks slash the JSON ID from the previous example. Right? So this is the ID from the weight module. You would pull that in over here. Once you've done that, you're going to check that short. Just make sure it's done. And then you can see the JSo ID is pulled in. And this is forward/task again. And then we're good to go. And then here you can see this is a different API key. So these are all HTTP modules. So to add one of these, you just click on the plus sign HTTP request. Plug this in like you can see. And then also you can see this is a get right. So if we have a look at these modules we've got postweight http request get another get and then another get. Now if we have a look at the get right here basically what we've done is we've said api. clap. app/v2/rojects and then we're taking the gs and output ID. Right? The output ID is this one down here. So we've pulled that in over there to make sure it's dynamic each time. And basically what that means is
Segment 34 (165:00 - 170:00)
each time it uses the automation, it's going to select the latest video, the latest output ID, which means that you always get dynamic outputs, right? So you're good to go on that. So from here, you've basically completed stage one and you've completed stage two right now for generating the shorts clip. Like you can see again, we're using a different API endpoint, right? And this is a post method. Now, basically what this module right here is doing is it's taking the short and it's exporting it. So it's rendering it. The reason you want to do that is because if you just use the shorts URL from the clip that's really basic, it's not going to be very good. It's not look high-res. It's not going to look great, right? Whereas, for example, if we go to the generated shorts clip here, it renders and exports the clip from clap. Now, what you're also going to see here is it's pulled in all this information right here, which is pretty cool. So, if you want to see how that works step by step, let me show you an example. So, we're going to go back over to Clap. All right. And then if we log get started here and we click on this video for example what this has done is it's generated from this video right here that's on my channel right from that video it's generated two different shorts now like I said you can change the N8N workflow so that you actually create 100 different shorts if you want to just change the number in the JSON and then you can see what it's actually done this really cool Manis is it's actually come with a virality score says this video has high virality potential due to its intriguing topic blah blah and then and it's given us a transcript of the video, so we can check that out. But also, what it's going to do is it's going to take that low res preview and then export it using this module right here. Okay. Now, once you've done that, you'll also see that we've got captions generated for Tik Tok, YouTube, LinkedIn, and Instagram, which is awesome because now, not only do we automate the clip, posting, which I'll come on to later, but we also automate the caption and the hashtags for the video. And so really, you don't need to do anything here. You just literally plug in your long form video and you create a bunch of clips. Now, are these shorts like as good as a human editor could do? I wouldn't say so. And I don't think anyone else will tell you in these workflows that they're probably not as good as a human. But are they impressive and does it have a lot of potential? Absolutely. Some of the stuff you could post directly to YouTube. Again, inside the authentication here, we're using urapi. clap. app/v2/ app/v2/ ojcts. And then here you can see this is interesting. If we pull this up is we're using the JSON folder ID which you've got from the previous module and then we're also using the GS ID which you've got from the previous module over here. Right? So folder ID and then forward/ ID of the video and then forward slashexports. Right? So that exports the video and then from here you got the generic credential types send JSON using JSON and inside the preset ID you just use this JSON here. So squiggly brackets quote preset ID quote colon and then in quote marks I just put peanuts. You can put whatever you want in there and you're good to go. You don't have to put peanuts if you don't want to. All right. If you're allergic to peanuts, don't put that in. And then from here on stage three, we've generated the shorts clip. We're going to get the final URL for the video. So that's taking the final video URL using a similar format for the JSON URL. We're using header off again. And that's pretty much good to go. Now from here, what I like to do is I like to take the information that we've got so far, right? We're going to put it into a Google sheet. So for example, if we go to our spreadsheet here where it took the original long form video inside the production section, it's got shorts created. And basically what it's done is it's pulled in the information from our Google sheet, mapped the columns automatically, and then updated the production status so that we know, okay, we've already created shorts for that. We don't need to do that again. And so it's not going to automatically run through the workflow again if that makes sense. All right, then we test out. We're good to go on that. We can see the production section there, finalizing and posting the shorts. And finally, this is the final part of the automation is you're going to send this to Google Sheets. Right? So you can see here we've now got the storage link. We can go to our other tab which is shorts clipper inside the template. We've got the title, the caption for YouTube, Tik Tok, LinkedIn, and Instagram matched. And basically what we've done here is we've got a Google sheet module sheets within document. A pen row is the operation. And then we've taken the information from the list. But the sheet that we're using is the shorts clipper sheet, which is this one right here. We're not using sheet number one. So inside there, we're good to go. And then inside the links, we've added the shorts link, the caption for YouTube, caption for Tik Tok, LinkedIn, Instagram, and then we put the status as to be published, which is right there, right? And we're good to go on that. So boom, Shaka. That's how you basically automate clips and shorts from long form. Now, let me show you how to automate the posting. And by the way, if you just want to swipe and deploy template for all this stuff, you can get it inside the AI profit boardroom link in the comments description. From there, go to video shorts clipper. You can see
Segment 35 (170:00 - 175:00)
all the links, but the most important bit is the JSON file right down here. So, what ifs if you want to auto post, I've actually got a video tutorial inside the AI profit boardroom along with an importable template like you can see. And basically, as you can see inside this automation, you can actually export from the Google sheet that you have with the video URL and the captions, which is this one right here. You can export that via a tool called Blow. You upload that video to Blow and then you're going to post that over to Tik Tok, to Instagram, to YouTube, whatever you want to use. Right? So, you can see how we've automated the whole process right here. Really simple and easy and very powerful as an automation. Right? And all you need to do is again you can just download this template and then if we go over here we can import the template. So we'll import from file get that JSo n file boom auto post are linked right and then if we actually delete that node and then we'll link this over here boom shaka you just got the auto posting ready to go right crazy stuff so that is basically the full automation for N8N including how to automatically get a long form video turn it into a couple of shorts send them to a spreadsheet and then take that spreadsheet and upload it to Tik Tok or any other platform. Again, all the video notes and the templates are inside the AR profit boardroom. You can just get the JS files. And also, if you want to see an example of the video auto posted to Tik Tok, let me show you an example right here. If you go to this profile, you can see an example of a video that I actually automated with another nan automation and then uploaded to Tik Tok. Boom. So, thanks so much for watching. If you want to get all of my best templates, workflows, etc., You can get them all inside the AI profit boardroom. This comes with tons of different N agents along with a lot more. But if you want to get all my best N templates like you can see, including a Gene Avatar automator, you've got a Sunno AI music generator. We've also got a VR3 automation for creating like insane videos with a click. A Reddit bot that can actually just search Reddit and then give you answers and information based on that. even like translation bots. We've created like automatic translators inside the AR profit boardroom. That's all available right there. And this also comes with three coaching calls per week. So, you can connect with me personally. You can jump on the coaching calls and the Q& A calls three times per week. If you want more, we'll probably add more. It's up to you. Just let us know once you've joined and we can figure out, okay, do you want more calls or you want less calls or what's the best thing for you? And then also inside the community here, you can see that we help people. We share our wins. We celebrate our victories. And it's just an awesome community of people who connect about basically scaling and making money with AI. And that's what the whole game is about, right? Additionally, what you can do inside here is you can request any automations that you need help with posts inside this thread. And then we'll answer any questions and give you video tutorials and build stuff for you completely for as part of the package of the AR profit boardroom. So you can get this all directly here. And additionally, if you just want us to automate all this stuff for you, build out the templates, etc. Customize it all to your business and implement it, then feel free to book in an AI discovery session. You can jump on that call, talk us through what you want to automate, and then we can just automate it for you once you become a client, right? And if your time is worth between $100 to $500 per hour, which it probably is if you're an entrepreneur, then this system is going to free up a 100 hours a month, right? which means that you're going to save 10 to $15,000 $10 to $50,000 per month without doing anything, right? We just do everything for you. So, feel free to get that link in the comments description. Happy to help. Breaking news. There's a new update from Google that's completely free and they have basically allowed for this weekend only a free tier of Gemini API to access Gemini 2. 5 flash image for this weekend only. Today I'm going to show you exactly how you can build insane automations like you can see right here along with image apps completely for free using the process that I'm about to break down for you. And I'm going to show you step by step how to build your own automations using Nano Banana Update and also how to build your own image generation apps completely free. And also on top of that, I'm going to give you 50 different image generation ideas plus prompts that you can use today to start building this stuff out so you can make the most of it before the end of this weekend. All right. So, for example, if we have a look at this app, what we can do is we can open up the chat like so and then we can plug in whatever image we want to generate and using this free AI agent, we can then generate videos or sorry, generate images and then download the image. So let's say for example, okay, superhero cat, something like that, right? And we plug that in. That's going to take the chat message from here. Now it's going
Segment 36 (175:00 - 180:00)
to start building out the image using the free API from Google Gemini. Like you can see that's then taken the inputs from the AI agent and plugged it into this file right here. And if we click on view, we now have the image of a cat eating a banana. Boom. Shakalaka. Super easy to do. So the way that we can do this is we can start generating images step by using this AI agent and then we're going to edit the fields manually to start using that data. All right. So that's one of the options. The other option that we have is we can generate images and applications like so. So for example this AI YouTube thumbnail generator. Basically all you do is you enter a title and a description to generate a unique thumbnail using AI. So for example like superhero cat. Um, and then you can do this. Now, if you want to build out that, I actually have the free template inside the AI money lab link in the comments description. Completely free. Comes with a community of 24,000 people plus all these free trainings that we drop every single day. And if we go to the classroom and then we scroll down, we go to money uh to free AI automation templates, right? So, Money Lab Classroom, free NA10 automation templates. Nano Banana is right there and you can download all the JSON prompts that I'm giving you today. All right, so you can steal this stuff from me if you want to along with a video generator app that actually created directly here. You can get the template for free right there. Boom. Shakalaka. All right, so what you can do here is inside this section, you would then just take these fields from Nano Banana and start converting this to a file, right? Really simple and easy to do. Now the other thing that you can do here is you can go into Gemini. Let me open this up. We go to Gemini Google app and then we can take one of these prompts like you can see over here to start building an app. Now the important thing here is when you're using Nana Banana you want to grab a API key directly from AI Studio. All the links are inside the AI money lab if you need to get this stuff. But essentially you're going to go down to get API key on a studio. google. com. So get API key and then from here you are going to grab an API key. All right. So let's say for example we want to create a new API key. Um we can grab one like so I'll take this one and then I'll delete it later. So if we copy this and then we go into Google Gemini we're going to plug this and we're going to say API key equals that. Right? And then from here we're going to use whatever prompt we want to build the app. Now, honestly, from what I've seen, the simpler the better for these apps, right? So, I'm going to say, okay, create a YouTube thumbnail image generation app using Google image API nana banana, right? I'm just specifying which API we're going to be using. Super simple and easy. We've got the API key here. Honestly, I'm going to delete that after the live stream because obviously you shouldn't be showing that live. And then we are going to generate this like so. All right. And now what you can see here is Gemini is beginning to build out and code out a app really quickly using this process. Right? So we've got the image generator app. Now it says YouTube thumbnail generator. Enter a prompt to generate a sunning thumbnail image. Right? So let's say for example, okay, let's take one of my recent thumbnails for ideas. Let's have a look what we got here. And then we're going to go back over here and we'll say, okay, mad driving the supercar looking rich. Something like that. Plug that in. And this isn't guaranteed to work straight away. So, we've just created this in one click. Let's see what it comes back with. We'll see how it goes so far. But yeah, we have the image generator using the API key that's completely free from Google, right? As you can see. So, you can basically build your own image generation apps really quickly. Now, um, and then you can download the image if you want to save this. Boom. There we go. Open up and we have the image for our thumbnail generator ready to go. Now, there's a few things that I would improve on that. Like, it's very rough, but you get the point. Like, you can easily build your own image generation apps. How easy is that? I don't need to code. understand really what I'm doing. I don't even need to understand how to use the API. I just have to paste in this details up here. All right. And then, you know, if you were struggling for prompts or that sort of thing, you could just go into something like chat GPT and you could say something like, okay, I have a video about and insert whatever your video is about. So, let's say my I have a video about a new AI robot. give me an idea for a YouTube thumbnail. Okay. And then we can get
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prompt ideas from chat cheaper, automate that, and then plug them into our YouTube thumbnail generator that we've created for free. All right. So, we've got some ideas here. We'll take that. We'll grab this. We'll plug that in. Hit generate thumbnail. And then we can automate the prompt creation as well. So there we go. We've got the thumbnail ready to go. The one thing I would say with this app is like obviously you want to tell it inside the coding to make sure that the thumbnails generated are the same dimensions as YouTube. So that's more like a vertical than a landscape. But you get the point. Like you can easily build this stuff. I mean if you wanted to change it, we can just say over here, okay, change this to landscape mode. And then we should be good to go. All right. So, you can see how simple and easy that is. And then if we plug the same thing in here. So, let's change this cyborg. So you say cyborg and neon colors fighting with AI robots. Wait for that to generate and then we should be good to go. But you could also create other stuff as well. So I've actually got 50 different use cases inside the AI money lab. So if we scroll down here, you see all our different ideas for generating stuff. Like for example, a mafia poster generator is an example. And there we go. Right. So, you've got the thumbnail uh dimensions ready to go. This in landscape mode now. And then you could easily use that as a thumbnail for whatever cyborg related video you're doing. But you can always tweak the prompts to whatever you want. Right. What else we got here? The infinite says, I built a football uniform generator and it's awesome. Yeah, that's a pretty cool idea to be fair. And then a circular says, what is a new update? So the new update is that Google AI studio this weekend only have unlocked a free tier of the Gemini API to access Gemini 2. 5 flash image which means that you can build AI agents and also apps using nano banana which is pretty cool. All right says why are you using 2. 5 flash not pro? Uh I think it just came up on default. And then Vivvexc says, "Is there any free tool like your small work like uh for making quiz, slide maker, all that stuff run locally? " I made a HTML code, but I can't find free onetime download. Yeah. So you can you I mean like if you want to build an app that runs locally, just do it inside Visual Studio Code. I got a lot of training inside the AI profit boardroom on how to do that. So if you go inside that profit will appear and then we'll type in app and let's try this code. Yeah. So you can see all these different um trainings on Visual Studio Code and then you can host one of those locally and just build that way. The other thing you can do is you can use bolt DIY. So bolt diy you can actually host locally and you can build apps offline using that process as well with a free API from open router. So that's another option there too. The other thing I was going to say here is I actually tried building with lovable and bolt using the same sort of idea and it was way quicker, way easier and it actually worked inside Gemini. Much better, right? So I wouldn't recommend using um anything else. And then Infinite says, "How hard is it to move an app over to Firebase for multi-user support? Any tips or tricks? " I think you can just export it and then upload it or you can just create it from scratch inside Firebase Studio and Circular Fash says anything I could use for my secondhand luxury clothing business. Yeah, I mean like for example you could it's whatever, right? So like this if we went inside the chat here and we said right okay um you know create a YouTube or create an image generation app for my luxury clothing business and then you can just come up with ideas. Now if you don't if you're running out of ideas for that then what you can do is you can take this prompt like so go to chat GPT new chat plug
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this in and just say give me 10 image generation app ideas for my luxury clothing business somewhere right and then you can get the ideas from JBT and create them inside Gemini. So you can for example like design a luxury clothing item, use that as a generated image. You could also for example um yeah this is really cool. So you could create like a virtual try on lookbook, right? So people can basically upload a photo of the image of themselves, upload an image of whatever they want to try on and then they're good to go as well. Right. So if they have some luxury clothing in mind and they have an image of themselves, they can actually get the AI to do that directly here as well. And then you said says, "Off topic, but what's the best LM for studying and learning in your opinion? " 100% is Notebook LM, right? Notebook LM is the go when it comes to learning. Super powerful, really easy to use, completely free if you're on the free tier, of course. And then from here, you can build out like really cool ways to learn. So you can, for example, create a podcast, a video, a mind map, reports, studying guides, etc. And you can also use the interface here to ask any questions about whatever source you're trying to learn about. Right? So if I plug in some YouTube videos or a PDF or a course etc on the left hand side, we can then ask the GPT and then from here it will spit out all these different learning guides which is really easy as well. The other thing you can do here is you can start a new chat and if you want to learn something, put in the information that you want to learn about and then just say create like a flashcard quiz that I can use to test me and teach me this topic that I'm trying to learn about. So that's another way that you can use this too. So that's basically how it works step by step. The other thing I want to show you is NA10. So if we go inside NA10 over here, we can use Nano Banana directly inside here too. All right. So, we'll open up the instance. NA10 is free to use if you run it locally. I've got training inside the AR boardroom. If you want to know how to get a template like this, then it's inside the AI money lab as well. But essentially what we have here is an AI agent. And then we can go inside here and say, okay, cat eating banana, right? It's using Google Gemini chat to generate the image that's going to edit the fields and then it's going to convert it into a file that we can actually download and view. Right? So, if we click on that, click view. Boom. Shackle. We have the cat eating the banana. Um, there's a few ways you can use this. So, if we go over to my N10 workspace over here and we shall type in So here's another workflow example. Um with this one you can actually generate images to video, right? So you can for example type in whatever image you want inside the chat here and then it will use runway to turn that image into a video as well and then it will pull out the request directly there. So that's another way you can use this as well, but it's pretty simple and easy. Now if we go back inside here, the other way that we can use this, we go inside executions is you can actually use this with open router. Now, if you use it with open router, it is going to be paid, right? Cuz you're using the paid API. But if you're using it beyond this weekend, I would recommend using that. So if we copy that to editor like so, unpin all the files like this and then
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version history. So you can actually, if you don't know this already, you can actually restore like previous versions of NA10 when you're building out these agents. So you can see here we have the AI agent with Google Gemini and the free API over here and you can download that from the money lab inside the JSON section here. But if you want to for example use open router beyond this weekend then you can we'll click on restore this version and I'll show you how this works. So let's go back here inside the chat and then you can see here basically when a chat message is received that's going to send the content open routter and then we're going to convert that to a file. So if we type in here, okay, cat playing basketball with a gang. And then you can see here uh we just have to change the API. So if we get the new API key from open router. There we go. We'll copy that. So that's the API key that we want to use. So image preview. So you see how we've updated the API key details here and now it works. So we're going to hit save. Then we're going to try again. Hit enter like so. And there we go. The blanket says, "Uh, first time I caught you live. " Thank you, sir. Keep doing what you're doing. Appreciate it, mate. But yeah, that's essentially how you can use Nana Banana directly inside the chat here as well. The other cool thing you can do with Nano Banana as well is you can generate videos too. So here's an example where we're actually using BO3, right? So essentially you can go inside this viral videos template and you can actually generate using Gemini Banana videos from the image. Now, this one is not free, but I'll show you how it works step by step. So, if we go to Gemini and let's say you've got an image that you want to use. So, if we go back to our image generations here and we'll put a Star Trooper playing the banjo. AB says videos for free. No, this is not free. this uh this section that I'm showing you right now is not free. Okay, so we're going to download that and then we're going to go inside here and we are going to switch to brand video web hook. Again, you can get this template if you scroll down and you go to Google avatar section. You can get the template that I'm showing you right now, right, for free from me. And then you just need to pay for the Veo 3 API
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when you're doing this. So, uh what we're going to do here is we're going to click brand asset input. Execute. That's going to open up a pop-up form. We'll upload the image that we just got. There we go. And then we'll say, okay, star trooper advertising a new banjo. Something like that, right? We enter like so. What you can see is that's now running it the brief for a brand strategy agent, then a creative director, then a production specialist once that's done, and then it's going to send it over to FA to generate the video with 3, right? So, you can see how that's waiting for the trigger event. And essentially what's happening here is we put in our image and our brand details. That goes to a brand strategy agent. We have a creative director agent, production specialist. And then we send this over to FA which generates the image into a video using FA and BO3. Now when that's running, it's also creating a web hook. So once it's finished generating the video, that's going to trigger this workflow over here. Right? And then what you'll get is a video generated from the image we plugged into the workflow. So you can see that's running now on the workflow that's sending over to Google Drive and we should have a video inside our Google Drive here. All right. So, if we click on view here, we now have the Stormtrooper playing the banjo in the advertisement. Right. So, you can see we've now created that Yodas. All these Yodas are just dancing around it. We're all having a great time. Um, and you can automate that in one click using that workflow that I've just used, right? And so, if you want to generate the images free, you can. And then you can plug that into a workflow like this. generate the videos with Veya 3. Pretty cool. Now, if you want to get that workflow, again, it's inside the AI money lab. Go to the classroom, scroll down to NA10 automation templates, and then you have the template for Google AI avatars like so. Just scroll down, grab the resources like this. Um, and if you want help implementing this stuff, then go over to the AI profit boardroom link in the comments description. And inside here, we actually have weekly coaching calls where you can jump on live calls, ask any questions you have. We have a community where we offer technical support and just help each other grow and learn and that sort of thing. And then we also have this classroom where we've got all of these different trainings right here. All right. Now, one of the questions that we got earlier before, let's have a look what we got here. So, we had one, here's an idea of an app that evaluates your handwriting and recommends a pen to improve your writing. Yeah. So you could create that inside Gemini, right? So if we go back to Gemini here and we'll grab that API key again and we're going to say, okay, create an app that evaluates my handwriting and gives me ideas on how to improve it. Use Google Nano image API key equals this. All right. And now it's generating that back in one sec. So now we just have to upload an image of handwriting, right? So, just as a random example, I'm going to go to Gemini here and say create an image of someone's messy handwriting. And then we'll use that to test the app in a second. By the way, I honestly I don't know
Segment 41 (200:00 - 205:00)
about anyone watching here, but for me personally, like I don't even use chat GPT images anymore. It's crazy. Nano Banana came out last week and all of a sudden it's just absolutely dominating. So, we're downloading that full size now. Here we go. And from here, we're going to go over to our handwriting evaluator that we just built. upload the image that we just created of the handwriting and then evaluate the handwriting like so. Okay. And so it should be able to read images, create images, whatever you want it to do. All right. And then you've got a full analysis here with the AI based on the handwriting which is pretty cool. Now the infinite says we need to recommend a pen to buy to improve the handwriting. So what we can do now is inside the chat here is we'll say okay and tweak this slightly so that when you give the analysis you also recommend a pen to improve the handwriting too. So like I mean you could use that for example for affiliate marketing right or even if you had an e-commerce brand that sold pens you could analyze someone's handwriting and then recommend the pen that would improve their handwriting and then either you send that via an affiliate link right and people click and buy stuff or you send them to your store where they can buy that pen as well and it's kind of like a lead generation method generation method. So, let's try that again. We'll upload that like so. Plug this in. Evaluate the hammering and let's see if it works now. And that one, we just got to fix the error. So, I mean, the more complicated you make this, the more likely it is to break. Yeah, essentially that's how it works. The blanket says, "I tried using Nana Banana to create assets for my brand, but the text is never accurate. Do you have any recommendations? " Yeah. So, for text, keep it as simple as possible. You know, one or two words maximum, and then it should be okay. You can see now it recommends the type of pen to use. So it's like right uh recommended pen type a gel pen is best suited here's white blah blah and that implemented the recommendation that we asked it to like you can see based on the handwriting image. So we'll build that out the blanket. Yeah. So when it comes to creating brand assets like you just keep it really simple. I honestly prefer to generate images inside Nano without text cuz I still think AI is not ready for text yet. It doesn't seem to be that good unless you're tweaking like one or two letters or something like that. You want to edit some screenshots and stuff. Um but yeah, that's basically how it works, my friends. So, just to recap here, peeps. All right, I've shown you how to build image generation apps for free. I've created some ideas including the handwriting evaluator directly on the live stream today using this process. I've shown you the prompts and how to do it. Shown you how to get a free API key from I just delete that API key. But I showed you how to get a free API key from Google AI Studio. I also for example showed you how to generate videos with V3 in one single click using this whole process where the AI scripts and generates the story line for the video to create something insane like you can see right here. All right. Pretty cool. And then I've also given you the NA10 AI agent that can generate images for you as well. And that's completely free. All right. So, you can get all of this stuff inside the AI money lab link in the comments in description. Let me show you how to get it. So, you go to AI money lab classroom, scroll down, grab the NA10 templates like you can see right here, and then you can just download and import the JSON files directly into NA10 and tweak them as you need to. As well as that, we also have inside here 50 image generation app ideas like you can see. And then additionally inside the community here, we have 24,000 members. I actually paid for this community. I don't charge you to access it. You get it for free. So feel free to get that link in the comments description. Just posted this crazy case study actually
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here which was absolutely wild how we made uh $77,000. We've won AI automation. That was crazy. And then also if you want help, if you want support, if you want to connect with me personally, the only place I connect with people personally is AI profit boarding. So, if you want to connect with me, if you want to be able to DM me, if you need help on some feedback or you need some projects you're trying to build, but you're not sure where to start when it comes to AI automations, feel free to get the AI profit boardroom. Inside there, we actually give away $1,500 in prizes. Like you can see inside the fire mini challenge that we're running right now exclusively and only for AI profit boardroom members. We also give away tons of stuff inside here. So you can see inside the leaderboards we give away all this free stuff as free bonuses including a free AI strategy call with me that you can unlock at level 9. Top of that inside the community here we just post really cool stuff and we all help and grow together. So you can see that everyone is just learning and sharing new things together which is absolutely awesome. And then additionally inside the classroom here you can see all these different courses right? So, you get so many different courses and different strategies that you can use for AI automation. If you have no idea where to start, you can start with the six week masterass right here. And you can learn how to build AI agents with NA10 in literally less than 5 minutes. Like you can see, you can also see the best ways to monetize AI. So, we actually run some bonus lessons and these are like stepby-step very actionable ways to learn AI as well. Um, on top of that, you know, inside the AI profit boarding community, you also get five live coaching calls per week. So, you can jump on these calls, ask any questions you have, that sort of thing. And one of the other things that this is very interesting actually, I find is like a lot of people struggle with overwhelm and shiny object syndrome when it comes to AI. So, what we actually did is we created the ultimate focus manual, right? And so, you can just follow this protocol. So if you feel overwhelmed, if you don't know where to start, if you feel like your brain's all frazzled and you don't know, you know, what tool to use when it comes to AI, just follow that. Just follow that focus manual. That alone will get you a huge ROI. Right? So everything inside the community here is designed to help you grow, to improve your results, to help you learn how to actually monetize and make money with AI automation. And you can get all of this inside the AI profit boarding. Now, there'll be some people watching this and they'll be like, "Do you know what Julian, I don't want to do this myself. You know, I'm a busy business owner. I'm not the sort of guy who sets up his own automations. " Maybe you're watching this and you're thinking NA10 is great, but actually, you know, setting up the APIs and implementing inside your business in a practical way is not that useful. And so, if you want us to set it all up for you to save yourself hundreds of hours, then you can book in an AI automation uh session for free. link in the comments description. And basically what we're going to do is we're going to look at where you spend your time build out the systems that you need to um and you can just hire us as a client to go off and do that stuff for you. Plus, you get a free welcome gift if you book in that call and become a client. So, feel free to book that in link in the comments description. You can see all the awesome testimonials and reviews that we have right here. Um yeah, and I hope to see you in there. All right. Cheers. Thanks for watching. Uh what else we got here? Petty Betty says, "Definitely going to rewatch. " Thanks, man. Really appreciate you. Appreciate you, too, Petty Betty. And then Rocky says, "Did you stop using Dia browser? " I did. I did, honestly. Um, I think for me it was like it was really cool, but everything's in Chrome, isn't it? I mean, my Mac is just a Chrome machine. That's literally I don't use any other programs apart from Chrome. And so, like, if everything runs in there, then I don't need Dia browser, right? But the browser is fun and that sort of thing. If you actually want to know what I'm using currently, let me show you this. So inside the AI profit boardroom here, we have a updated list of tools that I'm using right now, right? And so you can see here we actually have a list of tools that I personally use so you don't feel overwhelmed. Basically, the goal of this is to essentially show you what tools I'm using, what tools I don't bother with, and that way it's really good because you save a lot of money on subscriptions, right? You don't have to pay for 20 tools or 50 tools or whatever. And those subscriptions can add up to thousands of dollars per month. So, if you follow the updated tools list I have inside the AR profit boardroom, then you can get that directly right there. All right, hope that helps. And then Petty Betty says, "Lol, Chrome is really it for me. I can't break the habit. " 100%. It's locked in. You can't get rid of it now. All right. Cheers everyone for watching. See you on the next one. Bye. New Perplexity AI N8 update is insane. Today, I'm going to show you something that just dropped and it's absolutely crazy. We're talking about a brand new
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perplexity mode that lets your AI agents go wild on the internet. They can scrape anything, find the latest news, research Reddit, and even find trending products for you. This is so new that most people don't even know it exists yet, and I'm going to show you exactly how to set this up in just a few clicks. So, we have a brand new Perplexity mode, which allows you to empower and enrich your AI agents with the ability to just go off on the internet, scrape the internet, and also use all the tools from Perplexity directly. Right? So, for example, if we look at this perplexity bot, it's linked to OpenAI, but also uses the power of Plexity as a new node. This literally just came out a few days ago. And then inside here, let's round up the latest headlines in AI today and create email newsletter based on that using the perplexity tool. What that's actually going to do is easy perplexity bot with the tool enable to come back to us inside the chat and complete the task. So, if we wait for that to load, you can see that's now loaded right now and you can see the outputs right here. So if we go inside the chat, it's basically use perplexity as a native node inside here, which is massive because now you can turn your bots and your workflows into AI agent that can actually scrape the news from today. So for example, if we click on this, let's pull this up. So this is news from June the 16th and it can basically go off scrape the web, find the latest news headlines, all sorts of things, right? Really cool stuff. So let's try another example. We'll refresh the chat here. We'll say research Reddit and find the latest post from today using perplexity tool. Make sure when you're using this, you always say using perplexity tool and then you can see here is come back to us with all the headlines from today from Reddit and then plug that in. Okay. Now, if you want to build something like this, pretty simple and easy. So, what you're going to do is you're going to go on to N8N and you just want to make sure that you're on the latest beta version of it. So 1. 98. 1 that's what I upgraded to. You do that inside n. cloud/manage on your account and then uh you can switch between the latest updates. And once you've done you click save changes and that will just restart the server and you're good to go from there. Right now once you've done that what you're going to do is you are going to create a new workflow. So let me show you how. So you create a new workflow. So click on create and over here you can just add in the new first step. So let's click on that. Let's say for example, you just want to create a basic AI agent. So from here, you can click on the plus and then we'll type in AI agent over here, right? And you can just stick with the defaults if you want to. We'll just add in Open AI as a chat model, right? To keep it simple, add in your credentials, blah blah, you're good to go. And then the main thing with this automation is that you're going to click on the tool section here. So once you've added open AI and you've added the chat trigger and the AI agent, click on tool plus and then select perplexity. Right now inside perplexity, you can actually choose which model you want to use and you have to add your credentials, right? To do and add your credentials, what you're going to do is you're going to go over to Plexity. Make sure you're on the pro plan, right? And inside Plexity, you just go to your settings, all settings, and then you click on API keys over here. I'm not going to click on that and copy it because I have to expose my API key, but you could get the point. You just get the API key there and then you're good to go on that. Paste it in here. It will say connection tested successfully once it's done and then you're good to go. All right. Now, you can select between different models. So, for example, the one that I was using in the previous example is just a basic Sona, but Sona is still pretty powerful, right? But you can switch between R1776 which is a US hosted version of DeepSeek. You could also use for example like deep research as well which I've not tested out. I assume that would actually take and do some deep research based on whatever you give it which is pretty crazy. So you could build your own like deep research bot. Let's test that now. So what you're going to find is this is not going to work first time round. And the reason for that is because we have to test this first and then we'll plug in the JSON data to Plexi. You'll see what I mean in a second. Right? So if we go inside the chat here and we say okay research for example products in the or let's say research trends in the AI industry, right? Something like that. So now that's going to plug in there but it's not going to work on perplexities tool. So what you want to do so you go to mapping, right? So click mapping over here and then you take the chat input from here and you plug that in. And so now this is all connected. You've got the JSo data which is dynamic each time you run a search, right? And then we're good to go. And then if we go inside here, we'll say using perplexity tool. Let's hit enter. And now that's going to use deep research agents to complete this chat, which is really powerful because now you've just built your own deep research agent in one or two clicks. And literally all you have to do is connect the complexity API, right? Just make sure you set the model to deep reasoning. So you can see how powerful
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this is. It's great for scraping the web, getting the latest information. APIs like for example, chat GPT cannot do that, but Plexity can. It's one of the few that best research products in the world. So let's have a go at this. Right? So for example, let's say you've seen a lot of the chat GPT Shopify integrations and you're like, let's make a trending product finder that could be useful for this, right? If you wanted to do that. So, what you can do inside here is inside Perplexity, we've got the model connected. I'm not going to use deep reasoning. I'm just going to go with Sona for now. And what we can do inside Perplexbot is we can change the system message over here. And we'll change this. We'll say you're a helpful assistant for finding trending products on Shopify, right? And then, for example, you could say, okay, research the web, find trending e-commerce products that are trending today plus recently. Then give a list to the user, something like that. Okay? And then you've got perplexity tools over here. So we can use that information and we can put that inside the text I think as well. So that will send the same message to perplexity as. So now what we can do over here is we can say okay find me a trending product and let's just test that out. So it's using perplexities tool which is great automatically. We didn't even have to call it. And then in the meantime, what you can see over here is we've got the research back from the deep reasoning agent, right? The deep research agent, which is pretty cool as well. So, let's go back to Perplexity now. And it's given us some trending products on Shopify that are currently popular. So, for example, the heat core portable heater. Let's just check this. I want to validate this on Google Trends as well. So, let's have a look. There we go. And we've got a bunch of ideas right here. And so essentially what you can do is you can use this for research for creating your own tools. You could deploy this as well. So for example, what you can actually do here is if you go to the chat section, make publicly available, right? Then what you're going to do is hit active on that. And then if we click on here, click on chat URL, open this up, we've got the chatbot ready to go. And then if we say, okay, research the latest news today, that's going to use the Plexity bot that we just built using that process. To get the most out of it, to get the best out of it, I would say research the latest news today using the Perplexity tool. Something like that. But yeah, essentially that's how it works. And speaking of research, if you want to take your AI game to the next level, you need to check out my AI money lab. I've got over 100 different AI tutorials and use cases in there. I'm literally giving away automation blueprints every single day. Plus, there are 20,000 members already, so you know you're joining something special. The links in the comments and description. Now, if you want to get this scraper bot, we actually got a link inside the AI profit boardroom to the template. So, what you can actually do is if you click on the resources section here, then you're going to download that JSON file and then from here you can actually just easily import that into n. Right? So as an example that if you go on for example new workflow inside n and then from here click on the three dots and the top right import from file get the perplexity bot and boom look at that ready to go you just need to plug in your API details and you're good to go on that. The other cool thing here as well if we go back to the chat you can see it's use the product finder to find drop shipping products for June 2025. So it's found it a couple of ideas right there and then also it's given us useful links to these blogs about the same topic. So you can easily build your own tools, deep research agents, scraper bots, etc. and just connect all your N8N automations to the power of perplexity as well. So thanks very much for watching. If you want to connect with me personally, if you want to get the template from today, feel free to get that inside the AI profit boardroom. is we've got all these different N8N templates and workflows like you can see. And additionally, what we actually do inside here each week is based on what you want to see. We build automations for you, right? So, for example, you see an example here where people make loads of requests. We actually have 63 comments on this thread. We built all the automations people want to see, recorded a personal video for them, and then gave them the links to all the automations that we built as well. Right? So if you want the same, feel free to get that inside our profit boardroom. We do it each week. Also, we have three coaching calls per week. So you can jump on the free live coaching calls per week. You can connect with me personally and I reply to your DMs and give you support and everything else. And also it's just an awesome community of winners who have a good time using AM and learn from each other. You can see all these different wins that we were sharing together this week and yeah, just a great place to enjoy and have fun and grow together. So feel free to get the AI profit boardroom link in the comments description. Additionally, if you want us to just implement all this stuff for you, build some N8 automations, etc., and just build those for your business, then feel free to book in an AI strategy session link in the comments description. On
Segment 45 (220:00 - 225:00)
that call, we can basically look at where you're spending all your time, figure out what you need to automate, and then we'll just go off and automate it for you, right, as you become a client, right? So, feel free to get that link in the comments description. And appreciate you watching. See you on the next one. Cheers. Bye-bye. Today, what I'm going to show you is how to scrape anything free with NA10 and the scraper agent. And I'll give you the full template for free. You're going to see, for example, how I easily scrape for free using Ampify all of these leads for free without coded. And I'll give you the downloadable template for free, too. So, you don't even need to set this up yourself. And you'll discover my exact step-by-step process to build personalized AI outreach emails for you scrape leads. And you can even send them over to a Google sheet and then fill in all the details right there. Now, you can do this for pretty much anything. So, using Appify, which I'll show you exactly how to do today, and you can get free usage like you see in the bottom left down there, you can get access to, for example, like Instagram scrapers or tweets or Facebook groups or Facebook group comments, etc. Anything that you want to scrape, you can scrape leads and data in seconds and build personalized AI outreach emails from them all as well. Come on to that later, too. And this is the exact system you can use to scrape pretty much whatever you want in seconds without coding and then link it to AI video three. This AI YouTube video automation is absolutely insane. So this was actually created with an automation using N like you can see. Let me play back the video and I'll show you some examples. I can't believe I just did that. So super high quality. That is Yeti losing his selfie stick in the snow. This is Bigfoot making a squirrel smoothie. — Out, folks. Totally organic wild squirrel smoothie straight from my backyard. — We got the Yeti using chopsticks over here. — How do people even do this? We also have — Can you believe this? They're actually dancing. Bigfoot dancing in the jungle with a vlogger annotating it. Right. So, the way that we've automated this is with this workflow right here. Basically, what we've got is a AI video generator. Now, you can tailor this to your business. You could use this for ads and advertising, that sort of thing. And basically, what we're doing here is just saying for this, create a prompt, a caption, an idea, etc. And we've actually prompted the AI to generate video prompt ideas based on this. Right? So you can take this all to your business or to whatever niche you're in. But these videos can absolutely blow up. For example, if you actually been on YouTube and we have a look here, we type in for example VO3 Bigfoot. You can see like one of the top searches now is actually Bigfoot videos made with AO3. It's absolutely popping off on there and people are super interested in it. So, if you're thinking about like generating AI videos with Vo3 and then automating it, this is one of the easiest and best workflows I know. So, what it's going to do from here inside LA10 is it's going to take those videos and then map them to a spreadsheet that looks something like this. Right? So, for example, you got the idea, the caption, the production, the environment, and the final output. And basically this whole automation not just comes up with the idea, not just generates a video, but also logs all of that including the URL directly in a spreadsheet so that you can easily track and keep track of all the stuff that you've generated. And you could easily I actually changed this from Bigfoot to Yeti this morning. I could easily change it to a business. You whatever niche you're in. But the whole point here is like you can generate probably the best quality videos you can possibly find when it comes to AI with this workflow. And the crazy thing about this as well is like you've got the audio lip synced inside. So you don't need to use any sort of audio generation separately. All the APIs are just with A3 and it's super simple to implement. You got the AI coming up with the idea, the AI generating the prompts for the AI. So the AI prompting AI and then you've got the video being generated here. Now, if you want the workflow and the template for this, it's inside the AR profit boardroom link in the comments description. You can just download this template from me and then import it into NA10 and it will literally look like this and you just customize it how you want. All right, so if we get back to this now, it's going to generate the idea to sheets. So, we've got the details of the caption, etc. And you can post this straight to Instagram with the caption and the hashtags and everything else. And then from here with the NA10 agent, what it's actually going to do is take the caption, the idea and the envi environment. And these are dynamic. So it changes every time you generate the outputs. And that is going to use Ve3 to generate a prompt, right? So it's going to say create a VER3 prompt based on this. Here's the environment. And in the prompt explain like the situation, the environment, who's vlogging, etc. These are the outputs we get back. So, in a bright neon lit cave, a giant yeti films himself clumsily trying to eat a
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bowl of cereal using oversized chopsticks, which is exactly what we got on this automation over here with a bunch of penguins in the background having a great time. All right. And then we also have the system message. So, we have the prompt, which is going to be dynamic each time based on the ideas from the AI. And then we have the system message for the AI to just make sure that the prompt is actually good. and you know you want to refine it because if you don't sometimes AI is not going to give you full context or the prompt that it generates not going to be very good and so that's why we have the system message and the prompt over here now this is where it gets interesting so stage number three is actually creating the video and we're using something called foul to generate this right so you can see here I've set the HTTP request to post the URL as the foul API over here and using foul is actually pretty because you get loads of different APIs like for example some people will be watching this and they'll be saying I can't afford to use VR3 API etc which is totally fine and so what you can actually do if you go to the explore section inside foul is you can use other APIs so for example they have cling which is actually a lot cheaper I believe and you also have even older models right so for example if you don't want to use veo3 you could use for example like the old version of cling or you could use veo2 in your image and video generations too as well so you know if you want cheaper ways around. That's one of the easiest ways to do it. And then you can plug in the endpoint here. The credential type, I've used a header. And basically what you're going to do is put authorization as a name and then key space and then your API key inside the settings there. Right? So you can just add a credential for logging in. And then we can rename this as well. So I'm going to rename this. For example, let's put foul login details. And then the good thing about that is like I've got those login details ready to go. The credentials are saved and I can just generate outputs anytime I want. Right? And then inside the body we are taking the JSON using the body type prompt and that's going to send the prompt from our spreadsheet over to foul which is then going to use VO3 to generate the video. Now, inside the batching section over here, we've got one item to batch, and we're going to wait 2,000 milliseconds to batch that in between batches. Right? So, if you're generating multiple videos at one time, this just gives the API enough time to generate outputs without getting overloaded. Okay? So far, we've generated the idea. We've plugged that into a spreadsheet. The AI has come up with the prompt for VO3, and then we've plugged this into foul. Now, we've also got a wait section here because the thing is if you want the actual output, so this is the output from foul for Veo 3's video. It's going to take a little while to load. I might take 3 minutes to generate that video. And so, what we like to do here on this side is we're going to wait for 250 seconds before we actually try and pull out the outputs. And that just allows us to wait before we actually ask for the video. If you ask too early, if you have no wait, then you know it's not going to pull in the right URL. And then after this, we've got a HTTP request which is get, right? We're using our foul login details that we plugged in before. And we are taking the request ID, plugging that into the end of FO's endpoint. Right? So this is the endpoint for requests and then we take the JSON request ID which is dynamic each time and then it automatically grabs the URL of the MP4 file that we can download. Right? Why do we want to do that? Because otherwise you're going to lose a video and you won't be able to find it. So you want to keep these inside a spreadsheet so that it's neat, it's organized. And also if you want to plug this into say YouTube or Instagram or Tik Tok automatically, which I'll show you how to do in a second, then this allows you to do that. And so we've got all these different videos generated with AI and we can just keep a track. Also you could schedule loads of content and then come back to it later as well which is pretty cool. So from here we have generated the video. We've waited 3 minutes and then from this point we have gathered the response of the URL. Right? So we've got the file video details back. After that we just want to plug in the final URL which we only get at the end of the automation back into the spreadsheet as you can see over here. And we are good to go on that my friends. All right. So that's basically how the whole automation works. You can grab the template inside the AI profit boardroom. Feel free to get it. Link in the comments description. If you're wondering, okay, how much does this cost you each time? Let me show you an example. So if we go to usage over here, we can see how much it costs us each time to generate the outputs. And you can see we've spent I've spent $26 on Veo3 just testing this out. And that was me trying to figure out how to do this workflow. So for you, it's going to be even cheaper. And then if we click on this, we can see our recent requests
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over here, right? And then if we go back into the usage. So, I've used I've created two different workflows today, and it's cost me so I think it's cost me $6 today to use this. Sorry, how much is that? $12. So, it's cost me $6 each time to generate a video. Just being 100% honest with you. So, these two videos, one hour ago, another one another hour ago, and you can see the videos generated right here. Now also what I recommend here is inside the idea generator you can actually keep generating more ideas. So if you don't like the first one you can click generate again right and then you can just test this out. So if we click on this is using chat GBT to come up with the ideas. We'll wait for that to load and we'll get the outputs. Zaga is asking Veo3 which is paid version. Yes. So it's paid to use this API. Like I said if you want a free ver sorry cheaper version then you can just switch between APIs inside FA right. So if you want to use like a cheaper video generation method then you can use pretty much the same method but instead of using Veo 3 which is of course the most expensive right now you could use cling 2 or you could use Veo 2 as well. The other thing I would say here as well is that obviously right now it's expensive to use, but it's only going to get cheaper. And also, if you're making money with a monetized channel, then you're going to make that money back anyway, and it's just a lot faster. So, like, for example, if you're thinking, okay, I've got a choice. I can spend hours messing around with this manually, or I can pay for this sort of API and then generate the video and save myself 2 hours of time. Then you would go, if you're a serious business owner, you would go with saving the time. On average, the videos generated are 8 seconds. So you can see Bayer 3 always goes with 8 seconds. But what you can actually do is stitch these together, right? Which is something I'll show you in a second. So I just want to show you the ideas of what we've generated here. So for example, Yeti vlog goals, etc. It's come up with loads of cool ideas right there, which is awesome. All right, so we've come up with different ideas. If you want to generate another one, you can. There we go. So, this is Yeti filming his morning in routine with giant pancakes. And then we could generate a full video on that. So, if you want to figure out, okay, how do you stitch these together? Let me show you an example. So, we actually have inside the AI profit boardroom this workflow. And basically what it does is it stitches automatically videos together. So let me show you an example. This is probably the easiest way to create long form AI videos from what I know so far. So for example, if we have a look at this video, this is multiple AI videos generated together in an NATM workflow. And you can stitch them together that way. And that's all automated. So you don't need to do any video editing. So, let me show you exactly how that works. If we go back to NA10 over here. All right. Inside NA10, what we can do is click on create workflow. And then inside create workflow, we're going to grab that short workflow like this. We'll download that. Then we're going to go over to N8N. We're going to import from file the shorts JSON. That's going to have all of these files. And then what you want to do is you can see this stitch video module right here. And basically you can take all the outputs from foul and using the meg API from foul you can actually stitch multiple videos together like you can see. So this is taking all the videos from here, plugging them into an automation here, and then we have all the videos just locked together, right? And so you can insert that into your workflow, and then using that, you're going to wait probably about, I would say, a couple of seconds to stitch them together and get that final video together. So for example, if we pull this up, this using the meg API stitches all the videos together from that previous generation, right? And so that's how you can generate like longer videos. And then for example, you could
Segment 48 (235:00 - 240:00)
generate five videos, stitch them all together. And also with this automation that's inside the AR profit boardroom, what you can actually do is you can generate multiple different story lines together. So what it does for example is it takes an idea like for example a monkey stealing a GoPro, plugs it into 13 different scenes as you can see. So there's 13 different scenes using this automation. And then from there we can put that through foul again generate all the videos like you can see. So we've created 13 different videos and then you can stitch them together with the foul meg API. So that's how you can create multiple videos stitch them together in an automation and you're good to go. Someone's asking like what are the benefits to use NA10 with GitHub. I've never really used GitHub with NA10, so I'm not going to be SEO there and I just want to be 100% transparent. If it's something that's really popular, we'll usually build it inside the AI profit bordering for people. But yeah, I don't know. I don't really use GitHub that much. I just like to be proactive. So basically, that's how you can basically take the automation, generate the video, come up with ideas, stitch them together, and then for the auto posting, let me show you how auto posting works. So, I'm just going to leave that. We'll create a workflow here inside the AI profit boardroom. You can grab this template and I'll walk you through it in a second, but essentially you can automate content across YouTube, Tik Tok, Facebook, threads, Twitter, etc. So, if we take this blueprint, then we're going to go back into NAN and we'll import this blueprint. Here we go. And now inside NA10, what you can do is you can actually schedule the automation to check your spreadsheet like once a day. It will check the NA10 automation with all the URLs etc. So you can see for example here it's pulled in the information from the spreadsheet and on the outputs you've got all the details of the caption and everything else. That's going to send it over to Blowato as you can see and blow using its API can then post to Tik Tok and that's how we automated that post to Tik Tok that I showed you earlier right and so you can take the videos from your spreadsheet which are logged right here run it through blow potato and then you could plug that through for example Instagram, YouTube, Tik Tok, Facebook etc. And so using this you can automate the whole creation of the video, automate stitching the videos together so you don't need a video editor. And then from there you can actually use this automation inside the AR profit boardroom to automate posting it to social media as well. And so you can see that with NAN you save time. All you're doing is clicking a button. it saves hours on like video editing, uploading the content manually. And also like you can scale this, right? So for example, you can imagine that if you were trying to build five or 10 different Tik Tok accounts or even more like you're not going to use a manual process where you have to rely on humans to upload the caption and the video and everything else, what would be much smarter as a business owner is to use automations like these where you can just save a lot of time and that's a benefit really. Also, the other benefit of using N810 as a workflow is that it automates the idea generation as well as the prompt generation and you just you've saved yourself clicking about 100 buttons, which would be totally pointless when you can automate it with NA10. So, that's a benefit. And also, you can just log this all in a spreadsheet. You can imagine how annoying that would be to plug this all in manually. So, you're saving yourself, if you scaled this up, you're saving yourself doz dozens of hours really. So, that's how the whole process works. If you want the workflow, it's inside the AI profit boardroom. You can see, for example, we have inside here the NA10 automation. We also have the reals automation and everything else. If you want to see an example of a Tik Tok account that's doing this and absolutely smashing it, you can see an example of Bigfoot Boys Tik Tok account. 3. 1 million, 36,000 views. Like, it's just it's insane how well this works. And the videos are really cool. And you can automate that with NA10. I've included the Google sheet template as well in here and the auto poster link as well. So you can just steal this stuff from me along with the viral reels workflow too if you want to stitch this stuff up. So feel free to get that inside the air profit boardroom. What we also do inside here and this is what inspired me to actually create this automation is we post and basically ask you what do you want us to create and then we create that automation for you. Right? So whatever automations you want, we can build them within reason inside the AR profit boarding. You can also ask any questions you have. This is where I hang out. So if you want to ask me questions personally, you can. Also on top of that, you don't just get automations built for you. all the automations I've shown
Segment 49 (240:00 - 245:00)
just get all the automations I've shown you. You don't just get the community access, alo get three live coaching calls per week. And if you can't access them or if you can't make the live calls, then you can watch it back inside the AI automation examples inside here. Also have a YouTube AI video course here. So if you want to learn about how to make money with YouTube based on how I've got over 22 million views on YouTube and made hundreds of thousands of dollars, if not millions of dollars from YouTube, then you can get that inside the AI profit building. All right. And if you're just like, "Okay, Julian, I want you to automate all this stuff for me and just implement it for my business. " we can do that. So, feel free to book in an AI discovery session link in the comments description. We can jump on that call, look at your business, and then show you exactly what you need to do step by step. Also, if you're wondering, okay, what are some cheaper alternatives? Because I know some people be asking like, is this free blah blah. So, we actually have some free alternatives inside the AI profit boardroom. This new AI avatar automation is absolutely insane using Hey Gen and NA10. So this video actually that I created right here actually generated and you can do it all in one click using NA10 and this workflow that I'll show you how to access today. Let's play it back and see exactly how it works. Hey everyone, it's Julian Goldie here. Today let's dive into some fascinating AI news. First up, UK courts are so the actual script was fully generated with NA10. The video then went through to Hey Genen, it was automatically posted using this workflow right here. Now, if you want a super basic version, right? So, if you don't even want to generate the script and you want to edit the script yourself, I'll start with that just to make it easy and to show you how this works step by step. So, essentially what you're going to do, this is the first step, is make sure that you set up your own avatar. Now, I did this as an example today. It was really quick and easy. Literally, you can see I generated this morning. It's a video of me. Hey, Julian Goldie SEO. And you can also change the voice. So, if we go inside here, we can select this voice right here. Let's play that back. Hey there. Here's how I sound. Hope you like it. So, this is using my clone of my voice using 11 Labs. And then we've got the avatar video right here. You can change the resolution to 4K as well. You can also change whether you want it as a circle. So for example, screencast, half body, close-up, etc. And if we go back to the editing over here, and basically you can add like 300 different looks and angles. And you can even take these from videos. Now, when you're generating the avatar, if you wanted to create a photo look, you can just go to your avatar, click add a new look, and then use photos. Or if you want to record your own video, you only need like a 30 second video to train this up, like you can see right here. So it's pretty easy and simple to do, very quick. And then using that process, you're going to create a HTTPS request on NA10. So you would just go to add node HTTP request and using that you can start creating the video. It's as simple as that, right? So you can see for example here the way that we've set this up, we've used post. The URL is this one. So this is from Hey Jensen's endpoint. which you can get the documentation for right here. By the way, if you want all this stuff, it's inside the AI success lab has all the links to everything that I'm talking about. And then if you want to get the actual template, it's inside the AR profit boardroom. So, you can just download this and import it directly yourself. But if we go back to H genen now, basically what we're doing is we're loading these details into NA10. What you can do is even import URL and just take this and import but basically we've got method as post URL is this the credential type I've put header and off and then I'll save my hen login details to use hey genen and login as a post request you're going to use the name as xy api- key and then for the value you just grab an API key which is pretty simple and easy to do if you go over to let's have a Look, Julian settings, subscriptions and API and then you can just grab an API key over here like you can see or you can refresh and create a new one. So that's basically how you get the API key and set up the login credentials. Then we send the headers and we use the headers below. So accept application/json and for the send body we use JSON using JSON. And if we pull this up you can see how I've set this up, right? So my avatar ID is plugged in here. This is the input text just as an example. And this is the voice ID. Right? So if you're wondering, okay, how do I customize this to my avatar to my business? Number one, you set up the
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credentials for Hey Gen. Once you've done that, then you're going to plug in the avatar ID, right? How do you get the avatar ID? So what you do is you go back to Hen, you go to avatars, you go to the avatar that you want to grab, and then you find the specific scene or video that you want to plug in, right? So, for example, if we go to the three dots at the top, copy avatar ID, then go back to NA10, plug it in there, you're good to go. All right. Now, for the voice, you can do the same thing. So, if we go to AI voice, then we can go to the voice clone, then we can get the voice ID and we can plug that into the voice ID over here. And then this text, if you've got your own script that you want to plug in, you can just paste it in, right? So you would paste it in between the quote marks right here. That's basically how it's set up. You can also change the dimensions there as well. So that's nice and easy. Let's say, for example, you wanted to generate a landscape video or that sort of thing. You can quite easily. And then from here, literally all you do is you just send that to Hey Genen, right? So for example, if I say, okay, I like YouTube. just as an example of the text. We'll hit test like so. We'll hit execute node and then you can see that's generating right now. If we go back to home inside NA10, sorry, inside hen, you can see the hen avatar being generated in the top left, sorry, top in the bottom left over here. So that's taking the API and then plugging this through hen. Pretty simple and easy. And then all you need to do is just grab the URL of the video you want to retrieve. Right? So for example, if we go to this HTTP request, you can change the method to get URL as this, credential type as this, and then using fields below video ID and we take the video ID, right? And then we send the headers accept application JSON. And that's pretty much it. And just make sure you got the credentials set up. So that's it for the very simplified method. Right. So we've got that video generated using the API over here. Let's click play on this. — I like YouTube. It's not bad, right? It's not bad at all. It's pretty convincing. I think if you look at that versus the video you're looking at now, pretty similar to be honest with you. And then if we go to test over here. So let's click on test step. What that's going to do is it's going to take the video URL like you can see over here. I like YouTube and that is a video URL that we just generated from NA10. Obviously, it was a super short example, but you could make it much longer if you're willing to wait. And that's basically the simplified SP and template. Now, if you want to get that inside the AR profit boardroom, you can grab the basic version right there. If you download that and then I'll delete these just as an example. And then we import the file that we just downloaded, the JSON that you can get from the AR profit boardroom. That's ready to go and ready to set up. Right now, if you want a more advanced version, which is way more practical and useful in real life, then you can use this process, right? And this is way more powerful. So, essentially what we're doing here is we are actually automating the research and the script writing and then plugging that through Hey Gen, right? And so, the way this works is you can actually just go inside the chat here. So you can and then you can send a message and tell it exactly what you want. Right? What that's going to do from there is take the message or the topic that you want to research and start generating the outputs. Right? So for example, if we go to the research agent over here, this is connected to firecraw. So you can see it's connected to firecraw over here and it's doing a firecrol search from Reddit to get the latest news. Right? So it says for example, search Reddit for the keyword I give you. Search useful posts, finding relevant marketing insights, generate content concepts, blah blah. Use a fire crawl tool for search. So that's using the attached scroll. And then this will take the latest information from today off Reddit and then generate a script later using that scraped information from firecraw. And by the way, firecraw is free to use. I haven't paid for it. Right. So if you if we look at this research assistant, we put in the chat input AI news today. It came up with this output. So it grabs all the notable AI news insights from Reddit today. And then what that's going to do is relay that information over to our script writing agent. Right? So if we go to the script writing agent over here, you can see it's like here's some news insights. And what we're saying is based
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on the research from today, right? from that previous module. Write a short fun script for my YouTube video. And then inside the system message, we said you're a helpful script writing assistant. And then also, you want to make sure that you just put this in like plain text because if you generate the outputs in any other format, then it doesn't seem to get recognized when you send this over to a gen, right? Because it has to be like plain text. If you have any formatting or HTML or that sort of thing, it's going to mess up the JSON later. So, keep that as normal. And then it said, "Hey, Julian, I'm so,"Hey everyone, it's Julian Goldie today. Here's what we're doing. " Blah, blah. And then it created a short script. Now, obviously, like you'd want that in a real life situation to be like a thousand words or 2,000 words, which you can easily do using the script right agent. Just change your prompts inside here, right? So, once you've done that, you've automated the research from today, which is useful in itself as an NA10 automation. You've automated the script writing, which is also pretty useful. But the most important part here is generating the avatar video. Right? So what we've done here is using that hen method exactly the same inputs as we organized before. We're sending that to hen and then from hen we are using a http request generating the video and then we've got that good to go using hen. Now at this point you might be saying okay that's great. You can automate the research scripts. You can automate the video creation using an AI avatar. Whoopsy-doo. But how do you actually post this to other platforms? So, what we've actually got inside the AR profit boardroom as well as this automation which you can download from the AR profit boardroom, right? So, you can download the hen mflate templates right here. What we can actually do from there is we can use blot and the auto posting automation. So, let me show you an example of that. So using this NA10 auto posting workflow, we can actually post directly to whatever platform we want, right? Using Blowato and Blowato basically takes the URLs from your previous workflow and pluggs that through Tik Tok or YouTube or Instagram, whatever, right? So you can see for example here, you can use this on Instagram, YouTube, Tik Tok, Facebook, threads, Twitter, LinkedIn, Pinterest, etc. And essentially what you're doing is you are going to take the URL, put that into Blow, upload the video, and then send it over. Right? Pretty simple and easy. If you want an example of that in practice, let me show you. You can go to the profile and then grab that video over here. So, just to be very clear here, you can get this from the AI profit boardroom link in the comments description. You've got the auto posting workflow that you can import right here. You have the hen NA10 automation that you can import right here. If you like video automation stuff like this, then I would also recommend checking out the Beao3 automation. You can do some really cool stuff with that as well. And this is all available to download inside the AI profit boarding. Right? So you can just grab these JSON files, you can upload those into NA10 and you can automate video creation very easily, right? And I think to be honest that's the future of social media to be honest with you. Like how are people going to compete with videos of Bigfoot or Yeti for example. If Bigfoot was presenting this video as a screencast and you had a choice between that and me you're probably going to watch the Bigfoot screencast because it's way more interesting and attention grabbing. And also even like the way that this process works is way more automated, right? It's way faster and efficient, which means there's going to be more content flooding the internet and therefore it's going to perform really well, right? So, I think that's something that you definitely want to start thinking about now. Whether it's for your business, whether you're trying to make money with video, get more customers, etc. We're going to be implementing it into our own business. It's pretty simple and easy to do, and I've shown you exactly how using this step-by-step process. Right? You can do this with Hey Gen, AF3. The outputs are really good. You can also, for example, create your own films and stuff like that as well. If we go back to Heyen over here, you can even create avatars of like here's an example of Yeti, right? So, this is Yeti vlogging. The audio was synced as well to the photo and that can be automated using Hey Jen as well. You've got another example of a Roman soldier. So you can create like films out of this as you can see and also even UGC. And what I mean by that is like ads, right? So for example, if you have a look at this video, — do you want high quality backlinks? Click the link below to get started. — You can see how easy that is to do right there. Carlos asks, "Why did you decide
Segment 52 (255:00 - 260:00)
to use Reddit? Can this also crawl X? " Yes, it can crawl Twitter as well. So, for example, if you wanted to use Twitter instead, let me show you how that would work in reality. So, for example, if we go back to that NAS workflow and then we go to the research agent and then inside here, we can just say, okay, search Twitter or X for the keyword I give you. We can test that step. We'll unpin and test that. All right. So, we're looking at AI news today. It's going to use fire crawl to crawl Twitter and then you can say see here it says here are some recent posts about AI news what's happening etc and then you can generate the script based on that right so if we take the recent post about AI news we can easily do that let me go inside the examples. What we need to do is just change this to Twitter inside the system message. Let's click test on that. And then if we go to the HTTP request over here, we just need to change this to x. com. So change the query. So, this firecrol tool is currently using it was using reddit. com, but we're going to change that to x. com. Let's go back to the research agent now. We'll test our step. Foso says, "Have you He's posted it three times, mate. Chill. Chill out. " So, have you seen Google Workspace, Vid Store? You can search Google images, GS, videos, etc. Right in the tool. I think it could be automated scripts. Yeah, I think that could be something good as well. Yeah, it's another thing to look at. But if we go back to x. com, we can now see that it's scraping x. com, right? So, you can see inside the URL, it's looking at x. com specifically. And then from here, we can go back to the script writing agent. We can unpin and test that. It will take the information from x. com and then use that to generate the script. Right? So, OpenAI just made wave by acquiring journey blah blah. And if we go to the news, just to clarify and make sure that's correct. So this is saying about Joanie and OpenAI's AI company acquisition from OpenAI. If we go here, you can see that news was just announced a day ago. So it is literally scraping the latest news from X and then using that to generate the outputs. Now this in itself, these two modules right here are amazing, right? Like these two modules you could use pretty much every single day for any business that you're in because you want to stay up to date. So you could literally if you wanted to, you could just delete you could delete that section and just have this as like your own research and script writing tool, right? or blog writing tool or whatever. But if you want to automate AI videos on top of that, then it's quite easy to add this stage free as you can see. And you can get all of this automation inside the AI profit boardroom. Just go to the Hey Gen NA10 automation. You can see all the other stuff that we've built here. So for example, like a firecrawl Reddit bot that could be used for X or anything else. We've got a Veo3 NA10 automator, hey genen automator, translation bot, like even a social media post as well. You can see this crazy social media post right here. So all these workflows are inside the AI profit boardroom. Feel free to get it link in the comments description and you can download these workflows and then just import them into NA10. We also do three weekly live coaching calls per week. So you can see here Tuesday, Wednesday and Saturday we also sorry Tuesday, Wednesday and Friday we do coaching calls live that you can jump on. If you have any questions in between you can post in the community, ask me anything. What we also do is each week we ask you like what automations do you want us to build for you and we'll just go off and build them. So whatever you want to see we're going to build those automations and we're going to share them with the community as well so that
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everyone gets access and the value of this community just improves every single day. We're pretty much adding new automations and new cool stuff based on what people want to see and we just listen to you and your ideas, right? So feel free to get that inside there a profit boardroom and then also you can post in the community you can connect with me loads of benefits for being in there and also you get all the systems that work for me right now so all the stuff that's allowed me to scale my business and make money I've actually inserted as templates inside the AR profit boardroom feel free to get that link in the comments description and if you want to get a done for you service where we just implement AI for you we can look at your business and figure out, okay, what do you need to automate and then how can we do that? We can do that for you fully hands-free and you can just book in a call link in the comments description. We're happy to do that for you. We call it the AI time machine method because we're saving you hundreds of hours using this process. For example, if your time is worth like $100 to $500 per hour and you free up 100 hours per month, you're saving $10 to $50,000 per month. It's a great investment. So, feel free to get that link in the comments description and you can book that in directly. Appreciate you watching and I will see you on the next one, peeps. Cheers. Bye-bye. Today I'm going to show you how I automated with Veo3 this video using an NA10 workflow. I'll show you exactly how to get the template today as well. Let's play back this video. I'll show you exactly what we've got here, — folks. Totally organic wild squirrel smoothie straight from my backyard. — So, that is Bigfoot vlogging. And this was actually inspired by a Tik Tok account that's absolutely blowing up. You can see using a similar sort of process. They're creating videos with Bigfoot Vlogging, but I actually turned it into an automated workflow like you can see right here where you can just click a button and generate these sort of videos as you want. Now, step by step, let me run you through exactly how it works and how to use this automation. By the way, if you want to steal this from me, you can get it inside the AR profit boardroom link in the comments description. Ve3 automation. You can see all the templates right here plus the importible JSON file so that you can just see all this stuff from me, right? You don't have to even set it up yourself. So, as we can see right here, we have the trigger for the automation. And so basically, you can just schedule this to run like every 24 hours. Or if you automated this to a Tik Tok account or Instagram account, which I'll show you how to do later, then you can use this process to just automatically schedule the content that you create directly to Tik Tok orever. Right? As an example of that, here is a video I actually automatically posted using AI to my Tik Tok account. It was pretty easy and simple to do using the processes that I'll show you today. So, as we get into this, we've got the schedule trigger. This is going to run every 24 hours. Then, we have the ideas generator, right? And basically what we're doing here is we're saying like, give me a funny idea related to Bigfoot vlogging in the jungle. Here, you can just customize this to whatever you want. For example, let's say you wanted to have, I don't know, aliens doing like a MTV crib style video. You can just change the prompts right here, step by step. Pretty easy and simple. And then we also have a system message down below which shows exactly how to create the caption, how to generate the idea, how to set up the environment so that we create really nice outputs from the videos that we generate. Okay, so we've got chat GPT generating the prompt based on our niche. You can change the niche to whatever you want. This could actually be really good for ads as well. I was thinking for example for generating like UGC I don't know for our SEO agency maybe Bigfoot promoting SEO backlinks using this process we could easily generate that like it's not even difficult at this point so it's absolutely mind-blowing you can see the outputs right here so it's generated the caption Bigfoot vlogs the idea Bigfoot shares his breakfast totally organic squirrel smoothie environment in a vibrant jungle big foot holds his camera with fairy hands right now you can actually check this step by step. So if you're like, I don't really like this, right? I don't I want something new. So if you click test step again, what they actually do is redo the automation and then you can generate another idea, right? And just generate whatever you want. So for example, here's another one. It said Bigfoot's wild adventures. Bigfoot shows off his breakfast, tree bark, and mushroom smoothies. In a vibrant jungle, Bigfoot spins around with a selfie stick. Chaos and use, right? And he's got all the captions, the ideas, etc. So that is stage number one of the process. What I've actually done is broken it down into four stages just so it's easy to understand. So you can see this is the idea generation section. And you also want to add a structured output passer so that you can generate the JSON from the text that you generate. Right? So the AI agent creates this text and then the output passer from JSON actually separates that into caption, idea, environment, everything else. Pretty simple and easy. Now, what that's going to do from here once you've generated the ideas is it's going to move on to
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the video prompts. For example, if we check this out, this is our ideas. This is generated via a Google sheet. So, we're logging all the ideas that we generate and everything else into a nice little spreadsheet with the idea, the caption, the production, the environment, the final output, and also the ID of the video. And then the good thing about this is, for example, these long URLs, which you know, you might want to chop up or edit before you post. those long URLs, they're captured inside a spreadsheet, which is great because then when you need to come back to this or if you need to share this with your team, etc., you can just use this nice little spreadsheet and also it just counts up how many automations you've run as you can see. Okay, so what you can see for example here is that it maps out in the settings the caption, the idea, the environment, etc. and it maps that to a Google sheet. So if we check this out, we've set up an idea to sheet Google sheet within a document. I've actually created this template that you can steal from me. It's inside the AI profit boardroom. So you can just grab that Google sheet template if you want. And inside here we've got the ID and usually I just set that as like equals row brackets minus one so that it captures and counts each row. We've got the caption which is pretty easy to generate with Bigfoot's Wild Adventures. The production, so like that's the actual status, is it ready to be produced or not? And then the environment, the production bit here is quite interesting because actually when it comes to autoposting to any sort of social media platform, that production section right there allows you to say this is ready to publish and then your automation later can pick it up and filter those out. Right, we have now generated the idea, plugged that into a spreadsheet. Next up, what we need to do is start generating the video prompts based on the ideas. Right? So you can see here we've got an AI agent that takes the captioning the idea in the environment and then plugs it into a prompt. So we've said create a V3 prompt based on this and it's taking the dynamic JSON idea and then we've said this is the environment and basically it's taking the environment. Right? So when you're generating a video this is really good because you're taking not just the idea of the video but you're also painting the scene in the background in terms of how it could be. Right? So, for example, could be Bigfoot on a mountain in the middle of the ice age vlogging about drinking a cup of tea and how good that is, right? Whatever. And then inside here, we've said in the prompt, explain the situation and who's vlogging. The main reason for that is because Veo3 needs context over what it is, etc. And if you don't have context or enough context, your outputs won't be that great. So, you can see, for example, here it's created the output based on the idea. So it said, "In the heart of a vibrant jungle, thick greenery surrounds an unexpected creature, a friendly Bigfoot, his fairy hands gripping a camera as he captures moment like no weather, blah blah. " Okay. And then also in this section, we have the system prompt. So let me pull this up. Inside the system prompt, we said, "Right, here's you're an AI agent that use this format. We've got these details, prompt rules, etc. Here's what to do. " Blah blah. Right? Nice and easy. So, what that's going to do is it's going to take the ideas, plug it into Google Sheets, create a prompt out of that, and then we're going to send this over to Veo 3 using a powerful API, which I'll show you in a second. Right now, inside the AI agent as well, what I would recommend is as you're going through each section, test it out. Test out step by step so you can test each section. And also, like it can be expensive to generate the outputs. So, for example, with the API on Bay3, it can be quite expensive because it's brand new. And so, you just want to make sure that each time you generate an output, you pin it, right? So, for example, you can pin it like this. Right click the module, pin that, and that would just allow you to keep the output so you can test the next stage and the next stage, right? You're relaying the information between each module. So, let's move on to actually generating the videos. Now, you're 75% of the way in. And this is the HTTP request, right? And so using this, what you can actually do is generate outputs from foul. ai. Right? There's actually quite a few different APIs that run with Vo3, but FA I think is the easiest and also uses a bunch of other tools as well. What you want to do first is make sure that you top up your balance inside FA. And then inside here, if we have a look, you've got the Veo 3 API. Now, this actually just came out a few hours ago. And the cool thing about this is it's unlike any other AI video generation because it generates audio and it's super like realistic. It's crazy realistic, right? And so you can grab the API from here. I've actually just pre-programmed this with our VO3 URL. And then for the authentication, we've selected generic credential type header off. And then you just want to set up your credentials. Right? So if we go on here and we edit these you can see basically what we've done is we put authorization as the name. So use
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authorization as the name and then for the value what actually done is type in key space the API key of foul. Now if you want to get your API key from foul you just go to your account over here. Then you're going to go to API keys add a key. Make sure that you save that and copy it because otherwise you'll lose it. And from here you can grab this API key. You would again type in key space and then copy and paste your API key into NA10 inside the value section. All right, that took me a little while to figure out. If you have any questions, just ask me inside the AI profit boarding. I can help you out. And then inside here as well, we've selected send body JSON using fields below and then I've mapped this out right. If you don't get this right, this can mess up as well. So you want to select JSON using fields below prompt and then you're grabbing the JSON output which is the prompt from the AI agent right and the reason that you're selecting name is so that foul understands okay this is a prompt to generate the content with now for example if we go back to Veo 3 over here we can actually look at our previous requests and if you don't get this right like I didn't get it right the first couple of times as you can see it totally messed up and we got these 422 errors right and the reason is because this wasn't set up with the JSON. So, make sure that you set up this properly. If you just want the template, you can steal it from me. And also, you want to be careful with batching, right? So, this is expensive to generate outputs with. So, I just go with one item per batch and then batch interval 2,000. And that keeps things running nicely in the background. Okay. With that process, you can easily connect foul to Vea 3. I think it cost us about $3 to $4 to generate each output. Now, what I want to say here is if you want a cheaper way to do it, generate videos like this, you can actually do that with another automation inside the AI profit boardroom, which is this one inside the classroom, the NA10 viral reels workflow, right? This is a lot cheaper. It's actually using something called Flux and Cling, which are way cheaper. Before you start commenting in the video like it's too expensive to generate, etc., you can just grab the resources in the blueprint. I know not everyone's going to comment like that, but I know some people will. So, if you want to use Ve 33, you can. It's more expensive. If you want to use cling, it's cheaper and I've shown you exactly how to do it. Plus, I've given you the template inside the AI profit boardroom where you can just grab this stuff from me. So, once we've done that, then we're going to go to here and we're good to go. Again, test each step. You can see the output. So, this is the response URL with all the details right here. And if we X off that, we've now scheduled, got the idea, sent it to Google Sheets, created the prompt, posted it to foul. ai to generate the video. And then the next module here is a weight module. Now, it typically takes about I would say 3 to 4 minutes to generate outputs from Veo3. So, I've selected the weight amount as 250 seconds. And then what that's going to do is wait before it tries to get the HTTP request directly from foul over here. So for example, what this is doing with a get method for a HTTP request is it's grabbing the URL plus the JSON request from the output. Right? So basically it's just taking this unique ID number from foul when we generated the video inside there 3 plugging it onto the end of the foul URL and then again we've used the same credentials inside here and that's pretty much it. It's as simple as that when it comes to getting the output. So you can see for example we've got the video URL on the right hand side. If we open this up on a new tab let's check this out. So this is the video that we've generated and that is good to go my friends. All right you got the content type file name blah blah. So that's pretty cool. It's a really easy workflow, really easy automation. You can see how it works step by step. And then the final stage is we want to capture that information as well. So for example, we've got stage four video to sheets here, URL to sheets and then inside here we've just plugged that back into our Google sheet. Now the way that we've set up this module is we've set this up so that it's got the credentials sheets within document and the operation here is update row. So it goes into that NA10 video sheet template that we've talked about looks at the first tab and then we mapped it manually. Right? So we said take the idea match the idea from previous which you can see right here and then once you've done that and mapped it out inside the final output over here plug in the video URL which you can see on the right hand side over here. So we've generated three different videos using this process. This is actually an old one with cling. If you have a look at cling let's pull this up. So cling's
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output is okay but it's only going to give you like music in the background. It's not going to give you dialogue, right? Whereas, for example, if we have a look at these two outputs from the NA10 VO3 automation, — check it out, folks. Totally organic wild squirrel smoothie straight from my backyard. — Right. So, let's have a look at this one. Let's go full screen on this bad boy. — Can you believe this? They're actually dancing. — All right. So, that was Bigfoot dancing with Monkey. And that idea was Bigfoot accidentally streams his dance off with monkeys. Here's a caption, his environment, and then we're good to go. And then this one is the squirrel smoothie example. That's the video URL. And then I've already shown you that, so I'm not going to play it again, but you get the point. Really easy to generate these videos. Really didn't take a long time to set up to be honest with you. And then also, you can just import the workflow from me. So if you go into the AR profit boardroom, it's quite easy to set this up. For example, if we go inside here, we'll download the VR3 automation. Then you can just go to plus workflow personal. Then from here, you're going to go to import from file downloads. Download that. Boom. Shakalaka. You've got that imported, right? Beautiful. And then you can just plug in the details as I've shown you today. Right? Really simple and easy to do. And you can also steal the spreadsheet from me. That's inside the AR profit boredom. Just go to the Veil 3 automation section. It's got the Google sheet, the API details, the example Tik Tok account, and also if you want to learn how to post this stuff directly to social media as well. What we've actually got here is an auto poster NAM workflow, which takes the URLs from the spreadsheet, plugs it through Blow. Blow potato can plug that into Tik Tok automatically or any sort of other platform as you can see right here. So Instagram, YouTube, Tik Tok, Facebook, Twitter, etc. You can do all of this inside this automation. And the automation to import is this one right here. All right, super simple and easy to set up. So, thanks so much for watching. If you want to get all of this stuff, feel free to get it inside the AI profit boardroom. Link in the comments in description. comes with tons of other AI agents and workflows. You can see all this all these different courses that we've got right here. Each of them has different modules and all sorts of crazy stuff. And then inside the community here, we're super active. We make sure we answer your questions. You get help whenever you need it. For example, Jake commented on this and we got back to him ASAP. Everyone helping him out. And then also, we do three weekly live coaching calls. So, if you join today, you get three coaching calls per week. And if you can't make them, you can actually watch them back inside the Q& A call recording section over here. And additionally inside here, what we actually do once per week is we create automations based on what you want to see, right? So if you want to see something, just let us know what you want to see and we'll create the automations for you. So for example, you can see here we got 3 36 people commented on this thread for automations they wanted and we just built them all out in a personalized video as you can see right here. this. Feel free to get that link in the comments description. Massive value right there if you want to save time, make more money, and scale with AI. And additionally, if you want us to just automate all of this stuff for you, feel free to get a free AI strategy session link in the comments description. Basically, you can jump on that call, book it in, and what we can do on that call is essentially look at your business, look at where you're spending all your time, audit it, and then explain exactly what you need to automate. And if you want us to do it for you, we can directly. So feel free to build that in link in the comments description. Appreciate you watching. Tyler's asking, "How do you continue the same video into a scene of continuity? " I don't think you can actually unless you're using cling. If you use cling, then you probably could, but typically you can't. But if you use something like Bigfoot, for example, Bigfoot is quite like it's a universal character, right? So it's going to use it's going to look very similar and speak very similar each time. But right now, I think the best way to do that is probably with Hen. If you've got a hen avatar, then you can just use that over and over again and you get the continuity. But Veo 3, I don't think it's very good for continuity to be honest from what I've seen. New NA10 Slack agent. Want your own customizable AI assistant right inside Slack? I'm going to show you exactly how to build this and connect it using NA10 and it's way easier than you think. Plus, I'll give you the free downloadable template and I'll walk you through the entire setup process step by step. Plus, you'll get my free template link in the comments description, and you'll discover how to connect NA10 to Slack in just minutes. You'll learn the exact API settings I'm using and how simple it is. Today, I'm going to show you how to link Slack to NA10 so that you can basically have your own AI agent directly inside Slack and then you can customize it exactly how you want. So, I'll show you exactly how to set this up. Plus, you're going to get the free template inside the AI success lab link in the comments description. And so, you
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can see Slack is connected over here. If we go to our select channel, you can see that it says here, hey, automated with this NATM workflow and then it links directly to our NATM workflow that automated this process. Right? This is really easy to set up once you figure out. Okay, so let me show you exactly how to set this up step by step and the whole process. So if we have a look at this particular AI agent, what we've done over here is we've selected a post message node. Now, if you're wondering how to do that, you just add a node. You're going to type in Slack and then from here we're going to select actions and we're going to click on send a message. Right. So inside my settings for the Slack automation. I've set up a direct login. So the way that you can do that is you can just go to the dropown over here create new credential and then you can actually login with Slack directly. Then in the resource section, you can select message operation equals send. You can select a channel over here and then you can choose which channel you want to post in. Right? So for example, let's say from the list inside the message type, we've just selected send message and then you can put whatever message you want. So for example, right now I'll come on to what you would send in a second. But what you want to do while setting this up is you want to go to API. slack. com, right? Then you're going to go to create new app like you can see and then from scratch, right? So let's say for example, we want to put SEO bot as the app that we want to build. I'm going to build that inside our space over here. So we're going to create the app like and now once you've set up this SEO bot, you're going to see a page that looks like this. Okay. So what we need to do from here is we need to go to Oorth permissions. Then we're going to scroll down. So scroll down the page and then inside scopes you're going to add a few different settings. Right? So for example for my example the scopes that we added previously apps mentions channels colon join channels chat groups. All right. And this basically just allows the agent to interact directly inside your Slack. So you can just select the options that you want as you can see right here. If you want to steal these settings from me, I'll put it inside the AI success lab inside here. So you go to API. slack. apps. Go down to permissions. Use the settings below and I've screenshotted them for you right here. Now if we go inside our Slack channel, like you can see, we're just going to tag in. And before we do that, we need to select off tokens and install to unlimited goldie agency. So you go to permissions, then you go to install to Slack channel. So we're going to click on that and we'll install this app to our channel. As you can see, Dev Ryan says, "Thank you. God bless you. Thank you and thanks for watching. Appreciate you. " And now we've got this set up. We're all good to go on that. All right. Now if we go back to our Slack channel. So you can see I'm inside my Slack here. We can press app and we are going to type in SEO and SEO bot. All right. As you can see now what you'll see is that we have to add the Slack bot to the channel. All right. So we're going to add them like we've invited the SEO bot to the channel and now it's been added. Happy days. Now if we test this operation. So you can see we've tested the send message with the message texti. Hey, you can see that we've posted a message from NA10 directly to Slack. Happy days. Now what we're going to do is we're going to set up a trigger. So we're going to delete that and we're going to select new trigger. And this is going to allow us to monitor any times the bot has been mentioned. Right? So this B on NA10 monitor any mentions of it inside Slack and if it receives a mention then it's going to reply back to us. So we got the Slack account but app mention we can select watch the whole workspace if we want to as well and then what you're going to see is a web hook. So you're going to take that web hook URL just click it to copy it. You're going to go over to your API settings. So we got the SEO bot app here. We're going to go down to events. So you can see event subscriptions, enable events, and then we're going to paste in that web hook. We just need to click test inside our Slack trigger. So let's click test. So that's going to listen out. We're now going to retry. And that's been verified. Right. So we've verified and link the web hook URL. Now what we need to do is click add
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bot user event. um we can select an event that triggers the automation. So as an example, we've selected app mention inside the MA10 example that I built previously. Select app mention inside yours for example as well. So here we go. Then we'll hit save changes and that saves the event of the agent being mentioned. Right? So it's linked to our workflow. So if we go back to our channel now and we mention our SEO bot, you can see that's now filled in the mention of the bot and selected it as an event. Beautiful. Now what we need to do in between the Slack trigger and the Slack post message is to add an AI agent. So we're going to add a new module. Click the plus sign. Click AI agent. Connected to the chat trigger mode. We can add some system message. So we'll put you are a helpful assistant. We'll take the text from the previous module. So you can see it's taking the text from here. Plugging it into our AI agent. It's a helpful assistant. And if we go back now, all we need to do is just add a chat model. All right. So I'm going to select OpenAI. You can use Open Rout if you don't want to pay for APIs. So either way, you can connect OpenAI to your AI agent. We're going to link that AI agent over to Slack over here. Right. So, let's just test this out. That's got the information from the previous module and passed it and relayed it over here. All right. And the output is hello, how can I assist you today? Now, what you can also do is add a memory in here. And then inside our Slack message here, inside the message text, we're going to delete that and we're going to take the output from the AI agent. Right? So basically when the AI agent responds, it's going to be taking the output and plugging it back into Slack. So let's test that step. This is the Slack channel that we've created. We're going to hit test step like and you can see it says hello, how can I assist you today? And that is using the NA10 workflow. Beautiful. So that's basically how we've connected Slack as an AI agent in a really simplistic way. If you want to steal the template from me, I've actually included the Slack template inside the AI success lab. But essentially, it's pretty simple and easy to do. If you want to get the settings for each part, let me show you exactly how. So I'll plug that into the AI success lab with all the screenshots. And what I'll also do is inside the AI success lab, I'll include SAP step by step on exactly how to install this stuff as well from the transcript today. So that's essentially it. That's how you can connect Slack. Now, if you wanted this to go live, for example, what you would actually do is you would make this active as you can see. And then if we go back into the Slack trigger, we can now get the production URL. All right, we're going to go back over to Slack in the API settings over here and inside the event, we're going to change the web hook to this one instead cuz that's the live web hook. Yeah, right. We'll hit save changes. Let's test this out. And now you can see as soon as I posted that message, it's replied to me instantly. Now, if you wanted to make this AI agent more useful, what you could actually do inside the system message here is you could actually just change this. So, for example, you could say you're an SEO expert. Write in SEO content. The keyword, you write the article. All right, just as an example, random example. So, we're going to make this active again. Then, we're going to go back to ads and we'll plug this in. So, we're going to tag in the SEO bot and say keyword equals SEO training Japan. And now you can see that it will respond to us talking about the SEO keyword that we want to write about and the content etc. So if we go inside here and we say write an article about SEO training Japan and we just make sure we tag in the SEO bot. There you go. You've got the article written in markdown format. Created the whole thing. It's written it down in markdown. So, if we for example take this content now, we'll go over to markdown live preview, check the content from the SEO bot we just created, and we've got a full article written and ready to go. Obviously, you would tweak the prompts. This was just a test, but you can see how easy it is to build your own bot inside Slack, link it to NA10, and then whatever you want to automate or whatever you need help with, you can easily have AI integrated directly inside there. NA10 as well, it does have a Discord feature. So you can do the same thing inside Discord. But essentially that's how it works step by step. So you can easily see how to build Slack bots, how to create them, how to set them up inside any 10. If you want the template, go to the AI success lab. It's got all my settings plus a
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step-by-step tutorial on how to build all this stuff, what settings to use, and if you just want to import the Slack template. You can actually download it here. And then if we for example created a new workflow inside NA10, we can upload the JSON file that we just created for Slack AI agent just imported automatically and you just customize it based on the settings for your own app, right? But you know exactly how to do that today. Now, if you need help setting this up, if you want all my best automations and if you want to make more money with AI and basically automate and save time, you can see how much time you would save with that one single app, then feel free to get the AI profit boardroom. Comes with tons of automations like this. It's a community focused on making more money and saving time with AI. And not just that, but it's got an awesome community of people serious about growing with AI. It's got an awesome classroom with all of my best automations and also weekly coaching calls. So, you can jump on the weekly coaching calls, get support. You can also DM us if you have any questions and you can post inside the community if you need more help. But the main thing here is you get everything you need to implement and learn how to build your own workflows and automations based on what's working for us. And you can see how powerful this stuff is. So, thanks so much for watching. Feel free to check that out and the AI success lab inside the link to the comments in description. Cheers. N10 and AI agents automate your sales calls. If you want an AI assistant to call leads and book appointments whilst you're sleeping, then I'm about to show you the exact NA10 workflow that automatically checks your calendar, calls upcoming appointments, and pre-qualifies them all autopilot. In this video, and you'll learn how to build an AI voice agent that confirms appointments, and does discovery calls for you. You'll discover the step-by-step process to connect your calendar to an outbound dialer, and how to get faster responses with GP4 mini realtime. Plus, I'm going to give you the whole template completely for free. Let's get into it. Today we're going to be testing out and building out some NA10 AI agents live. So the first thing that I'm going to show you here is an AI voice agent. So if we for example test this outbound dial and I'll just show you exactly how it works in a minute, but we're going to test this out and just make sure it works. So what this is going to do is take the details from my appointments and then give me a cheeky call on my number as you can see right here. Boom. Let's answer it right now. — Hey, this is Julian Goldie's AI assistant. I was just calling about your call. What's your biggest challenge with SEO right now? — Right now, we need to get more leads, more traffic, more sales. — Got it. You're focusing on increasing leads, traffic, and sales. That's crucial. Are you the one making the final decisions on your SEO strategy, or is there someone else involved in those decisions? — Yeah, so that's mainly me. — Great. It's good to connect with you directly. What have you tried so far to boost your SEO results? Are there any specific challenges you faced in your link building efforts? — Yes, sir. Right now, we just don't know where to start. We've been watching Julian Goldie's videos, and it's confusing us more than helping us, my friend. — I totally get it. SEO can be overwhelming at first. What if we focus on defining clear, achievable goals for your SEO strategy? — So, you get the point. Easy to automate. And this is all based on the custom criteria that we put inside this report. It can work for you whether you're doing outbound calls for appointment setting, example, for let's say you are trying to get clients in or let's say you've even got a call funnel where you just need to reach out to leads and that sort of thing. This is quite easy to set up. Pretty simple automation. If you actually just want to skip ahead and just steal it from me, then you can get it from the AI success lab, which is completely free. Let me pull that up for you as an example. So, if we go to the AI success lab, link in the comments description. go to the classroom AI course and then boom, we have the NA10 appointment setup and you can just download the resources directly from me. All right, so let me show you exactly how this works step by step and exactly how to set it up. Right, so first thing that you want is to have a schedule, right? So you can see here for example, every day 9:00 a. m. we can schedule this workflow to run. And what it's going to do is check my calendar. So it's going to run through my calendar over here. It's gonna say, "Right, over the next sort of 24 hours, what have we got going on? Who are we going to need to contact? " So, for example, we got Julian Gold's NA10 party. He's booked in a call. Let's call him. So, it's going to take all the calendar information and plug it in. So, in terms of the settings here, if we pull this up, we've got days between triggers, one day, trigger hour, 9:00 a. m., trigger minute. Don't worry about that. And that is just a schedule for a trigger. So, the first thing you want to do is just add a node. Right click here, add node, and then just a schedule trigger. That's the one you're going to select. And then use these settings like so. If you want to steal these settings from me, what I can actually do is just screenshot those and plug them into the AI success lab. So, you can get the details completely for free. Right? You don't need to pay for this. It's completely free. You can just steal the schedule trigger settings from
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me down here. Right folks now the other thing you can do as well is you can actually use your 11labs custommade provoice as well. So if you want your voice to be more lifelike then all you do is you use 11 Labs create a custom voice using the pro package and then your voice can be exactly like a clone of yours pretty much. Now, John asks, "Did you set your schedule by your timing or the key customer country? " So, this is just based on our timing. You can do it however you want. You could set up a trigger based on the country and that sort of thing as well. So, now what we've done is we've set up this appointments trigger. All right. So, you can see here for new appointments. Basically what we're doing is we're taking the daily schedule and the details of the appointment and then we're saying right after now and before 24 hours later get all the calendar invites from this particular list right from this email address. And so it's logging in with my Google calendar. It's quite easy to add a credential. You just click on create new credential and then sign in with Google. And then using this, you can easily just log in with your Google, set up a resource, get the latest calendar appointments from your calendar that's going to say, "Okay, within the next 24-hour window, let's get all the calendar appointments like you see over here. " And then we can use those to plug them into our NAN agent. All right. So, if we were setting this up from scratch, you're going to add a node with the details of the daily schedule, then you're going to add a new node called get appointments. All right. So, to do that, you can just click the plus sign over here. You would add a schedule trigger using that. And then after that, you're going to link that to a calendar invite, right? You can select Google calendar and then get many events. And then you're good to go on that as well, right? We'll just delete that for now, but you see the point. And then if you want the settings for this, let me pull that up for you. And we can plug that into the AI success lab as well. All right. So if you want to steal these from me. Also, one thing to note here is we've selected return all. So that returns all the appointments in the calendar for that specific window. And for all the settings, I'll put these inside the AI success lab. Just go to the NA10 appointment set 2. 0 and then you can get the details. The reason it's called 2. 0 is because I did previously set this up a few days ago, but I honestly I didn't like the prompts that much. I didn't think it was that good. Whereas now, I actually think the prompts are 10 times better, and the resources and the results you get from this are a lot better than they've ever been. All right, so from here, we've set up the daily schedule. appointment collector. Then that's going to go to this AI agent. Okay. And essentially inside this AI agent, we've got this prompt which basically takes the information from the appointment. So for example, it's collecting the event name, the date and time, the time zone, and the description. And then it's saying here's what you're going to do when you connect. Be patient, slow down, wait for the appointment details, etc. So that's the user message that we use. We selected define below as the AI agent, plugged in this prompt, and then require specific format. Right? So basically what that's going to do is allow you to connect a parser to the AI agent that takes all the information from here and then organizes it neatly. I'll show you how to set that up in a second. All right. And then from here we also have a system message. So we have this system message that basically says like you are Julian Goldai, the world's best appointment setter. Call the leader who's already booked in a call from Julian Goldis calendar. Confirm that they can attend at the scheduled time. Here's what to do. Blah blah. All right. If you want the full details and want to copy and paste for that, let me put the system message inside here. So that's for the NA10 agent and you got the prompt message and the system message that you can just copy and paste for me. Now, by the way, if you just want the template that you can just copy and paste and literally just import, then we have the appointment setter agent template down here inside the AI success lab. So you can just download this stuff from here, right? The other thing to note here is when you're doing this, if you want like support, if you want help, if you want implementation support, etc., then feel free to get that inside the AI profit boardroom link in the comments in description. This just comes with like weekly coaching calls, awesome community, all my best AI agents plus DM support. So, if you need help implementing this stuff, if you get confused along the way, just join the AI profit boardroom and then you can get the help and the support you need. All right, so what we're going to do from here is we'll set up the outbound AI agent. I've shown you all the settings for this. I'm just going to grab that and copy it for you as well. And then you just want to link this to an OpenAI chat model. I actually use GPT4 Mini with my OpenAI account. You could use even Open Router or something like that. If you just want to use this for free, then you can use Open Router. Plug that in, change your settings, and you're good to go. But basically, the main thing here is like you're creating an outbound agent that passes the information from the calendar event and
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sends it over to this structured output passer. Right? So to set this up like I said you want to make sure that you select require specific output format and then from here select structured output parser and then for the schema type select define below right don't select generate from JSON example select define from below from here you've got all this information in terms of what's going to be sent over to the AI agent for booking now you can see here for example we are passing the information into the property event name, date, time zone, about, contact, phone number, email address, decision maker, etc. Basically, what we're doing here is we're going to collect the data from the appointment and we're going to fire that over to our agent that does the outbound dials in a minute. I'll show you how to set that up in a second as well. Right. So, if you want the outbound passer details to copy paste, you've got them all right here. Now, just to recap, you set up the daily schedule trigger so that the automation runs at 9:00 a. m. every day, and it looks at the appointments over the next 24 hours. Then, this gets all the information from your calendar, and it sends it over to the AI agent, which is going to pass that information so that we can put it in a structured format for outbound dials. Now, we're on to the final module, right? Pretty simple stuff. So on the final module, what you're going to be doing is using a tool called retellai. com. And Retail AI is basically automated outbound voice dialer, right? It's a voice agent and you can connect it to NA10 and it's pretty simple and easy to set up. For example, what you want to do is you want to go into retail. com. You can get a free trial and they'll give you $10 free credits. And essentially, you're going to create an AI agent. The one that I used to set up is a single prompt agent. So just select create agent and then single prompt agent in the top right. Once you've done that, you're going to see an example like this. I've selected GPT40 mini realtime to get faster responses on the call. This is more expensive than using something like GPT 4. 1 which is a lot slower but also cheaper. So it depends. Do you want speed or better quality? Right? That's up to you. Do you want to go cheap or fast? You can't really do both. And so what we've done here is we've plugged in this prompt into our single prompt AI agent. If you want the instructions, I'll put it inside the AI success lab. But basically, you click this link and then plug in this details into a single prompt agent. Ideally, you want to use o mini real time. Once you've done that, you also want to load a knowledge base. What I actually did was I uploaded a document of our sales SAP and our outbound selling SAP that can train the agent on exactly what to say on the call. We do it because we want to make sure that the agent knows what type of questions to ask and what our process is on getting those calls confirmed. And bear in mind like this is a massive win. If you're running Facebook ads, if you're running any sort of booking appointment funnel, which I know a lot of you guys are out there and girls, right? Then this is an easy way to reconfirm the bookings, make sure they actually show up, qualify them and even get the call recordings so that you can make sure you know these are qualified leads and you can get warmed up. You can also get the details of the call from your AI agent and then with that transcript and the notes, you're more warmed up and you're more ready for the call because the discovery process has already been done inside the sales process. So just to be clear here, we've set up the knowledge base in terms of the functions. You just want to make sure you add end call as a function there. Then you've got the knowledge base setup. Speech settings. These are the speech settings. I just went with the default ones. Call settings. These are the call settings I've set up. And it's important to put inside the instructions here like just be patient and wait to connect. And also only ask one question at a time. This is important too because otherwise what it does is it blasts like 10 questions to your client as soon as they answer the call which you don't want. Right now, the other thing to note here is when you're doing this, if you're going to call them with AI, as far as I'm aware, due to compliance, you need to be careful, right? So, you need to make sure you have a disclaimer if you're going to call anyone with AI before they opt in and book the appointment. That's for compliance reasons. Now, I'm not a legal expert, so I'm not going to tell you exactly what to do or how to do it. You can always check with a legal expert, but as far as I'm aware, that's what I know. So, just make sure you do your own research before you test this out. So from here, what you also want to do is select from the welcome message dropdown with a dynamic begin message. So that's going to take the information from the call which we've passed inside here. So it's got the details of the event name, who's going to be attending, the email address, etc. And then it's going to personalize the information to that person. Right? And the good thing about this is faster than human appointment setter and it's easier to
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set up. Honestly, it is way faster to train this AI agent to do outbound calls for you than it is to train an appointment setter. I can tell you that for free. All right, so we've run through all the settings right here. And then you just want to click on publish. So you can see an example here and select an outbound phone number. So you can see we can select our outbound phone number here. Right now, now when you're setting this up, you also want to make sure inside the phone number section here, you add a new phone number. So you can click on buy new number. You can buy it for $2. You get $10 of free credits. So, it's basically free. And then you just need to verify, which you'll see the top settings in the right. So, you verify on your mobile phone. Take a picture of your ID. It verifies in about 60 seconds from my own experience. And then you're going to assign that outbound agent to the information. So, these are my settings for the phone number. All right. So, we've got the outbound call agent. That's taking the agent from our agent section over here as you can see. And then inside the phone number section as well. That's basically it, right? We didn't select the inbound call agent or anything like that. Actually disabled the inbound, but you can see how easy it is to set that up. If you need the settings, let me grab the settings for you and I'll plug that inside the AI success lab. And by the way, I'm not the genius that set this up. I learned this stuff from AR Workshop on YouTube. Would recommend checking out his channel. He's very good at NA10 workflows. So from here, we've got the agent set up. We've got the phone number set up. The thing that we also need to do is create the API key. So, you need to grab an API key like you can see and then we're going to plug that into NA10 in a second. All right. So, just to be clear here inside Retail AI, you've created the agent, you've set up the phone number, and you've also set up the API key. And from there, you're good to go. So once you've done all of this, then what you're going to do is go back to NA10 and you're going to select HTTPS request. You're going to add a node that says HTTP request and then the method is going to be post. That is the method because you're posting outbound. I'm just going to delete that. Right? So you can see this is our HTTP request module. And inside here we've got the outbound dial section. So what we're doing is we're taking the information from the AI agent. So for example, the phone number, the time zone, what the appointment is about, the contact phone number, etc. Then we've got this URL as the URL. Okay. So if you need that URL, let me plug that in right here. So that's the URL you're going to plug in. And then in terms of the generic credential type, select custom off, custom off account. And then you're going to take your API key and plug it inside JSON code like this. So this is an example, right? So you got the headers, the authorization, the content type, and you just put your API key in this section right here. All right. Obviously, I'm going to delete my API key after this video, but I just want to show you exactly how it's set up to help you. And that's why I'm exposing it to everyone on the video right now. Then from here, you're going to scroll down once you've set up the custom or account. and you're going to select sendbody JSON using JSON and then you're going to take this JSON information like now this is the dynamic information from the appointment information right here that's been passed. So you can see an example right here. If you want to take that code from me let me show you exactly how to do it. So this is the JSON body on the HTTP request as an example. You can customize this as much as you want. You can also take this information and just ask chat GPT like what's the best way to format it or I want to add this field or that field etc. if you want to customize the JSON without actually being a coder, right? But basically what we're doing here is we're taking the phone number from retail A and we're plugging that inside the JSON. Right? To get the phone number you just go to phone numbers over here. You're going to find that phone number you created and then just copy it and plug it into your settings. Like you can see the two number is going to be the number from the calendar event which is right down there and it's dynamic. The name is going to be the event name that you can see from the calendar event. Same for the phone number, the reason, the start time. That's all taken from the event. And then the final thing here is that you need to get the agent ID. Now, if you want ID, you just go back to agents. Then you're going to click on single prompt agent. And then from here, you're going to copy this agent ID in the top left. That allows you to grab the agent ID and then plug it inside the JSON file like you can see over here. So once you've done that, you are good to go my friends. That was basically it. You selected the URL, the authentication, added the custom authentication, sent the body JSON using JSON, plugged in the JSON from the AI success lab, and then you are good to go. Now, as you're running this workflow, you want to test each section, right? So, test a step, make sure it works. That's going to relay the
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information to the next step so that when you get to the outbound dial section, you're able to test it and make sure this works, right? So, for example, again, if we go and we test this step, it's going to be a slight delay inside Google Voice or wherever you taking the call. — Hey, this is Julian Goldie's AI assistant. I was just calling about your call. What's your biggest challenge with SEO right now? — Right now, mate, we are struggling with building back links. — Building back links can definitely be a challenge. Just curious, are you looking to improve your site's authority or are you focusing more on driving targeted traffic? — Yeah, right now we just want to get more targeted traffic to our website. We're trying to rank for our certain keywords. — Got it. Targeted traffic is crucial for ranking. When you're aiming to rank for those specific keywords, do you currently have a strategy for identifying highquality sites to get back links from? — No, we have no idea how to find them. — No worries. A good approach is to start by identifying websites that are already relevant to your industry or niche. Have you tried looking for sites that already rank for your target keywords or those that are considered authorities in your field? — Not yet. — That's a great idea. Building relationships with authoritative sites in your niche can really boost your SEO. You might start by reaching out to them for — All right. So, you see here how it's like actually quite a powerful automation where you're not just doing the discovery process with the potential client and the customer, but also you're giving value to the person they're calling up, right? Because you can see this AI agent isly looking at the situation, analyzing what they can improve, giving them tips on how to improve, and then setting that process up so that when it comes to the actual call that my team will take, that client has already got value, understands that we're the experts, is already impressed by the process, and is now warmed up and ready and knows exactly what they need to do to get more SEO traffic, right? And this would work for any agents or anyone running a sales call funnel. So, hope that helps. And I have downloaded that template and plugged it inside the free AI success lab like you can see right here. You can get it for free. I just wanted to help you and that's why I'm giving you all this information. All right. It's absolutely amazing what you can do with this. It's amazing that NA10 can do it and you can see how easy it is to set up. Now, as I said, I'm going to have to just delete my API key. So, you can delete your API key like so. Just make sure you set up another one and set that as a web hook. And then your API key is done and dusted, my friend. And that's basically it. And then if you want to import this stuff, let me show you how easy it is. So, if we go into workflow personal, we're going to download the template from the AI success lab, which you can see right here. So, this is the JSON code. We'll download that and then we'll go inside NA10 and we're going to go to import from file upload the JSON. Boom. Shakalaka agent is just set up ready to go. It didn't cost you a penny because you can steal it from me inside the AI success lab. All right, so that's basically it. Thanks so much for watching. Feel free to get the AI success lab completely free inside the link in the comments of this video. And again, if you want to get help, support, weekly Q& A, if you want to get coaching, DM support, and just meet an awesome community of rock stars in AI, then feel free to get the AI profit boardroom. This comes with an awesome classroom of all of my best automations, templates, workflows. Comes with weekly Q& A calls, and we're going to be start doing three calls a week. So, you're going to get tons of value inside there. And it's basically just a community of one goal for everyone who joins, which is to make more money and save time with AI. Feel free to get the AI profit boardroom link in the comments description. Appreciate you watching. Here's how to build and replicate any NA10 AI agent in one click using Claude. So you can see for example here we actually screenshotted the workflow we wanted to replicate. Then we created the JSON inside Claude. I'll show you how in a second. If we paste that into NA10, you can see that has come out perfectly. And today I'm going to show you exactly how to do it. Now I just discovered how to build NA10 AI agents in seconds using Claude. So you can basically take a screenshot of any NA10 workflow. I'm going to show you exactly how to build up a customuilt project like you can see right here. So you'll get basically awesome copy paste JSON that instantly creates the entire automation. And in this video I'm going to show you how to set up Claude with the customuilt instructions like you can see right here. You'll learn the exact prompt template that makes Claude an NA10 expert basically instantly. You'll get all of this for free and I'll show you how to replicate any workflow with just a screenshot, even adding custom modules and you'll get the free resource I created so you can steal this entire system from me. So, I'm going to show you how to basically get Claude to create and copy almost any template you
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can find. So, basically what Claude can now do using this process I'll show you is very specific and I'm going to show you step by step exactly how to set it up. It can now create agents like you can see right here that basically copy and paste and then you can paste those directly into NA10. Right? So as an example, this is one I actually built earlier. And if you want to build this out yourself, let me show you how. So we'll just delete that. And this agent is custom trained on NA10's documentation to be able to build and copy paste NA10 templates. Right? So for example, I actually took a screenshot of this NA10 workflow that I wanted to replicate. Then I said recreate this workflow. And if we copy this information right here and then paste it directly into NA10, you can see that it basically creates a really simple workflow based on our screenshot. Right? So this was the original screenshot and this is the whole workflow. And you can see it's even added the same sticky notes inside the workflow. So we can easily just copy paste and replicate any NATM workflow using this custom trained clawed project. Here's another example. So if we grab this one, let's copy this. And then you can see this is one that you can easily build out. And yeah, it's a simple but powerful workflow. All right, I want to show you another one as well. So if we say for example create a AI voice agent for NA10 inside the NA10 JSON builder it's now going to start coding out right so you can see it's thinking about it and it can basically produce like copy paste JSON code right so the way this works is we've actually got this custom trained prompt over here I'll put it inside the AI success lab so you can get the prompt for free if you want to just steal this stuff from me. But basically, we said you are an NA10 expert NA10 workflow generator. Your job is to create fully functional NA10 workflow JSON that can be directly pasted into NA10 to create working automations. JSON should be complete, valid, ready to use blah blah. Then we've included instructions on how to do that, what to set up, etc. The output format and the goal that is directly inside the project details of this agent. Right now, what you can also see here is that we've attached information on the JSON cheat sheet for NA10 and also a bunch of other NA10 templates that it can learn from. Right? The way that this works is let's take for example this information right here. Basically has documentation on exactly how to build out AI agents. Now, I've attached that all inside the AI success lab. So, you can just upload this knowledge if you want to. Essentially to set this up, if you want to create a new project inside Claude that can build stuff like this, you just click on projects in the left hand side, then you're going to click on new project. From here, create project and then from here you're going to name your project, right? So for example, Claude NA10 assistant, right? We'll create that project like then from here inside the project knowledge we're going to upload from a device and I'm going to take that information that's inside the AI success lab and just upload that. So what I also like to do is just upload a few NA10 template projects. So I've actually got some of those inside the AI success lab. But if you want to see an example of how I do it, we can type in JSON here. Scroll down, get the web scraper agent that I've previously done, grab the appointment setter agent, upload those, and we're good to go. All right. Now, if we go back inside here and let's say we want to replicate this particular agent, we can just take a screenshot of any N8 workflow that we want to replicate. Then we're going to go back into Claude and using the project and the project knowledge we set up, we'll paste in that screenshot and we'll say replicate this into a JSON format for NAN. Crypto White Hat just tipped $5. Thank you very much, sir. Appreciate that. And Nicholas says, "This is scary. Reminds me of malware. " I think you're referring to the MCPS I showed earlier. If that's the case, yeah, just use that stuff at your own risk, but you do need to be careful what you install. I show this stuff as a guinea pig, but obviously you do need to be careful in terms of what you build, how you build it, what you install, etc. And that's down to you and what you want to do. But I take the risk for you. Now, we're going to wait for this to load. And you can see it's basically building out the JSON format, right? Which is pretty cool cuz then you can copy and paste this stuff directly into NA10. So, we're waiting for that to load right now. and then do is just copy and paste that in. Right? So, for example, this is the original template we took a screenshot of, as you can see inside Claude. Here's the screenshot. And then if we go to overview, we'll
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leave without saving that. We'll create a new workflow. And then all we're going to do is take this information like copy it, paste in that information, and boom, shakalaka, we've got the AI agent fully replicated. Right? Right. So, we got the outbound dial, the structured output passer, the open AI chat. That's you saw the original a second ago, which is this screenshot right here. And this is the workflow automation that's created, right? Nice and simple. We could say as well, if we just want to add an extra option to that, we could say, okay, add a Google Sheets node to this too. So, I can output the agent workflows to sheets, whatever. And let's say you want to add an extra module to your NA10 template, but you don't want to add it manually. You can get Claude to put out the JSON. Now, one thing I want to say right here is this has worked beautifully this time around. So, you can see that automation is actually awesome. Like, it looks really good. I don't want to BS you though cuz sometimes it doesn't go that well. And if that's the case, you just need to tidy up. But what I will say is that typically it will give you the 80/20, right? So it'll give you like the 80/20 of the format and then you just need to make a few changes before you finally go live and test out. But in terms of adding the modules, setting all up, etc., it is quite easy to set up with this Claude AI assistant. And if you're wondering how do you set up, you create a new project. You insert the custom instructions from the AI success lab. You upload the knowledge inside the resources section as you can see down here. And then from there, you are good to go with your NA10 agent. And what I'd recommend is that you don't necessarily describe what you want. Instead, what I'd recommend is that you actually take a screenshot of what you want and then replicate it that way. That seems to work a lot better, right? Because then it's got a visual understanding of what you want. Okay? So, if we have a look, this is the new workflow from NA10, the claude assistant. And then you can see here it's taken exactly the same workflow, but this time it's added the Google sheet module as we requested. Right? So we've just literally copied and pasted that in. It's taken the Google sheet section. Like you can see that's all plugged in, ready to go. And then we just need to map this out and connect it to a Google sheet. But essentially, that's how you can set up the whole process. Really easy to just copy, paste, and replicate almost anything that you want. If we go back to NA10 over here. All right. And then inside NA10, we're just going to go to templates and find like a template that we could actually set up as an example. Then we're going to take this template like we'll copy that image as you can see. Then we're going to go back to Claude, start a new chat inside the project section. So let's find the N10 assistant. Pop that in. And then we'll say recreate this. And literally, I would say in about 60 seconds, you're going to have your full JSON ready to go. Now, you might need to say in your instructions as well, just recreate this in JSON for NASA, etc. That's essentially it, right? Just going to go back to the original JSON builder. So, here we go in. And then it's going straight into JSON as you can see. Okay. So, it saves a lot of time, automates, replicates, copies, and pastes for you. And to be honest, like what you could even do, so you could link this to something like the MCP browser agent. So I've got browser MCP there. I could go inside Claude like and I could say create that JSON file inside the project section and then go to NA10 and paste it in as a new workflow. You could probably fully automate that if you wanted to. I'm not going to do that in this video, but I just want to give you some ideas of what you could build, etc. So, if we just copy this JSON format from the JSON builder, then we're going to go over to NA10. We'll paste that in. And there we go. Crazy thing as well is if you actually compare them side by side. So, this is the original and this is the version that we created. This version actually looks a lot neater and nicer, right? Super neat. It's super tidy. It's got nice sticky notes there as well. The automation is fully linked together as well. And it was so easy to build that just using this custom NA10 project builder. Now, actually took me a few hours to figure this stuff out. But essentially, if you want to just steal it from me, take the custom instructions, take the custom knowledge inside the AI success lab. It is completely free. Link in the comments description and then you can just grab this stuff from me. The other idea that I had as well was that what you could actually do is you could go to NA10 JSON builder. Like you can see you can go to claude projects then go to new project type in all the details you want right and then we can actually take the official NA10 docs from GitHub and load that as knowledge inside claude right so if we click on the plus
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sign under project knowledge over here then we'll click on link hit the copy and pasteable GitHub URL paste that in there and then you can select which official documents from NA GitHub you want to custom train that project on, right? And then you're probably going to get even better outputs because you're using the official documentation from NA10 to build out your copy and paste machine, right? But either way, you can now get your AI agents to build other AI agents and replicate any NA10 workflow that you want in a copy and pasteable format. And it's completely free. It's crazy. So feel free to get all my notes inside the AI success lab if you want to steal this stuff from me. Again, you really do need the knowledge. So you need to download that. Make sure you've got that plugged in as well. And that is free inside the AI success lab. If you want support and help and you want an amazing community of people all interested in scaling and growing their business with AI, including using NA10 automations, then feel free to get the AI profit boardroom. This is an awesome community where you get DM support, you get weekly Q& A calls, you get a community you can post in and ask questions to, and there's 584 serious entrepreneurs trying to scale their business with AI. So, feel free to get that link in the comments and the description. What I'm going to show you is a way to automate outbound calls, right? And you can basically get an AI agent to call your appointments or your sales leads or anything like that automatically as soon as they opt in. So, here's an example right here. this using NA10. It's an amazing workflow. Absolutely beautiful. And if we click on the outbound dial section, we can just run a test call. So, let's test this out right here. We're going to click on test step. That's going to execute the nose. As you can see, phone call type. And then you can see the phone call coming through here. Let's answer that. — No worries at all. Take your time. I'm here whenever you're ready. If you need a moment to get settled, that's absolutely fine. Just let me know when you're ready to continue. Hey, how's it going? — Hey, I'm doing great. Thanks for asking. How about you? I really appreciate you taking the time to chat today. I just wanted to quickly confirm that you're still good for your scheduled call with Julian Goldie. Is that time still convenient for you? And is this the best number to reach you on for the call? Also, before we jump in, I'd love to learn a bit more about you and your business. What's the main SEO or link building challenge you're hoping to solve right now? — Yeah. So right now what we want to do is scale our business with SEO, get more organic traffic. — That's fantastic. Scaling with SEO and boosting organic traffic is definitely something we can help with. Just to make sure we tailor the call to your needs, could you share a bit more about your current situation? For example, what's your main goal for the next three 6 months when it comes to SEO or organic growth? Are you the main decision maker for SEO investment or is there anyone else involved in the process? And out of curiosity, what would make this upcoming call a big win for you? Is there a specific result or outcome you're hoping for? No rush, take your time. And if there is anything you — All right, so we're going to end that call right there, but you get an example of exactly what we've done, how we've done it, etc. So, the way that we've done this, creating this AI agent that can basically call your sales appointments, reconfirm them, is really simple and easy, right? So, what you can see here is we have an NA10 automation. It's completely free to get access to. If you go inside the AI success lab, link in the comments description and then go to the NA10 outbound calls agent, you'll find the template that you can just import straight into NA10 right there. But essentially, what we're doing here is we're taking appointments. For example, you see this calendar is linked to new appointments that come in. Then from here, we have an AI agent that basically responds and figures out, okay, what to say, etc. And that sends the information over to a tool that can make outbound calls. Absolutely amazing. And you can sync this to a sales calendar or it could be to appointments whatever you want. Lead generation. You have to be careful of course because if you're making calls with AI, you want to make sure that it's all compliant. I'm not a legal expert. This is not legal advice. You can figure that stuff out and research it. Do your own research. But you get the point. This is how powerful it is and how it works, right? So, for example, the way that this works is it's taking appointments. So, I'm going to just set this up in a new tab as a new automation just to show you how easy it is. Right? So, if we go inside NA10, you're then going to go to create workflow and then inside NA10. From here, what you're going to do is add a first step. Now, I would recommend that you have this running on a schedule. So, it could be like, okay, 9:00 a. m. each day. We're going to run this automatically based on my new appointments, right, from the day before. Just reconfirm everyone, make sure everyone's going to join the appointment, right? Then from here, what we can do is we're going to add a new section called calendar. And
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we're going to select inside here, get many events. Now, with get many events, basically, you just want to connect to your Google calendar. Like you can see, you just sign in. It's pretty simple. allow access to NAN and then from here you can actually get access to your emails. So for example, this random email address that I've used for the process and what this is going to do is it's going to take appointments from this email address. So here's an example calendar with appointments. So you can see we've got an NA10 party happening tomorrow within the next 24 hours. It's going to take that information and send it over to the AI agent. Now, the way that you can do this is you're going to have the settings as Google calendar account resource and then you can click on return all. So, just select return all toggle that on and then from here we can just select okay anything after right now but before 24 hours time. All right. So we'll plug that in. And basically what that's going to do is take all the appointments within the next 24 hours. So from here we can just test that step. And basically what that's doing is taking all the information from the appointment and sending it over here. So you can see this is all the information about the appointment, when it's going to start, end, etc. So, just to recap here, we've scheduled a trigger to run every 24 hours, and then we've set up Google Calendar to grab all the latest events. From here, what we're going to do now is set up an AI agent. So, you can see we've got the outbound AI agent. The way that we set this up, we just click on this, and we need to link this to a model. Now, you could use Open Router for free, something like that. I'm just going to use OpenAI cuz it's easier. So, I've got this connected. If you don't know how to connect this, you just edit the credentials and plug in your API key from OpenAI and then you're good to go. All right, so we've got schedule the trigger Google calendar AI agent that's got the information right there. And then you just need to program this AI agent to be able to run your instructions. So here's an example, right? So it's got the source for the prompt. We're going to select define below, right? And then we're going to plug in a prompt as you can see right here. So pasted that in. Now if we open this up, what you can see is we are taking in the information from the event, the date, the time, and the description of the event, right? And also you want to add some new instructions here. So for example, wait, be patient, might take a while to connect, whatever. And you just give them some information to the agent. Now I think honestly this could be improved, but I just want to give you an example of how it works, right? And then if you want to drag in the date and the time or select random stuff from the account, you can just for example drag and drop this information that's been taken previously. So what this is doing is taking the JSON information from the Google calendar event and then telling the AI exactly what our appointment's about so that it can figure that stuff out. Okay. Now also we've got a system message, right? So what we're going to do is click on require specific output format. We're going to add a system message like you can see. So, let's add that in. Plug that in. If you're wondering what the system message is, basically, as you can see, it's your Julian Goldie AI, the world's best appointment setter. Call the lead has already booked in a call from Julian Goldie's calendar. Confirm that they can attend the scheduled time, blah blah. Now, one thing I'd actually change if it was me doing this again, then I would highly recommend that you actually change this. So essentially it only asks like one question at a time because if you don't do that the AI agent might talk too much. It might ask too many questions etc. It can get messy. I wouldn't recommend that. So you can see it's got the output the notes all the information about the appointment etc. So we've configured that set up the specific output format. We're good to go on that. Now what we also need to do is set up a structured output parser. Right now, the way that you do that inside your workflow is you would go over here and then you're going to select output parser structured output parser and then you just take the information from your appointment. Now, you can rewrite this inside chat GPT and ask it to rewrite something unique based on the specific details that you take, but this is just what I'm using for the JSON. It's pretty easy to set up and simple to do, right? And by the way, all the instructions with the importable template are inside the AI success lab. You've got the agent prompt example here. You've got the instructions for the system message, the structure output example as well. So you can just copy and paste this stuff from me if you want to steal it and then customize it to you, your business, your API keys, etc. So we've plugged that in now. And basically what this is doing is you can see it's taking the event name, the date, the time zone, about, contact, etc. So we're good to go on that. Now we're just going to test this. To make sure it actually works, let's click test
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step and make sure it works. If there's any errors, we can fix it. And let's just double check this on the structured output. We just need to change this to define below. All right. So, make sure you've selected in your structured output passer define below. So, now we're just going to retest the AI agent. It's good for you to see stuff like this to know how to fix it. Now, it works perfect. Beautiful. You can see the inputs, the outputs, etc. Living the dream, my friend. All right. Now, what we're going to do is we're just going to add a HTTP request for the outbound dial. Right. So, we're going to click on plus over here. There we go. And then we're going to select the method as post because this is going out, right? So, if we look at this example of what's already working, you're going to select post. Then, you're going to use this URL, right? And at this point, you might be wondering, okay, what is retail. com? Let me show you an example. So, Retail AI is basically a way of automating your call operations with voice AI, right? Really powerful tool. Pretty cool, easy to set up. And let me show you exactly how to use it. So, you got an example right here. And what you want to do is just create an agent. So, you go to create an agent, single prompt agent. That's all you need. Now, inside that single prompt agent, here are the settings that I used. So I pasted in the same prompt from the system message on NA10 which you've got inside the AI success lab if you want to steal it from me and then so this is the system message and then inside here we've got a welcome message right so you want to click on AI initiates AI begins with dynamic begin message like you can see over here what I would also recommend is that you set up a knowledge base for that agent as well so it's got for example details of you recipe and then you can also choose between what language you want. So you can do this in multiple languages. It can even be multilingual as you can see if you get appointments in Spanish, French, whatever language. You see all the languages then you can have this as a multilingual agent. I've selected Jason but there's a bunch of different voices that you can use as AI agents here. So you know female, male, different voices. Some of them very flamboyant, I'll be honest with you, but you get the point. And then from here you've got different APIs that you can use. Now some of them are more expensive than others. So for example, you see here Gemini 2. 0 Flash is like 0. 006 per minute, right? Super cheap. Whereas you got GPT40 mini realtime which is like 0. 125 per minute, right? So that's going to get pretty expensive. So it's up to you what you use. I was using GPT1 for my example. We've got JSON right there. English. Boom. Right. Okay, we're ready to go on that. Now, the next thing that you want to do is inside retaili. com is you're going to go down to API keys and just make sure you have an API key like you can see right here. And then additionally, we just need to go to phone numbers. Now, you can buy a phone number for free. You actually get $10 when you sign up and it costs $2 for a phone number. So I just bought a phone number like you can see set up and we selected outbound call agent as a single prompt agent we set up before. Right? You can see that right there. Right? So that's the outbound call agent. This is the ID for the phone number and we're good to go on that. Right now you've plugged in your URL inside the HTTP request. And then what we're going to do from here is we're going to select generic as the authentication credential type. And then from here we're going to select custom or and by the way if you're wondering like am I the genius that figured all this stuff out? No, I learned from a amazing YouTube account called AI workshop. Would recommend checking out. That's where I learned this stuff from. Does a lot of awesome test tutorials on the NA10. but it's pretty easy to figure out and pick up even if you're not technical like I'm not technical at all. So from here what we're going to do is click on send body and then we're going to select using JSON and then we're going to use this process right here which I'll explain in a second. Okay. So what you can see if we pull this up as an example is we basically have the from phone number right so that's a phone number that is inside retail AI. So, if you're wondering how to get that, you go to Retail AI. Make sure you've bought the phone number that we talked about before. Go to phone numbers and then grab this phone number and put it inside the quote marks. As you can see, for the two number, that would be the contact phone number from the appointment. Right? So, you can see that's the contact phone number from the appointment. We've put that inside the two number section. Then for the retail LLM dynamic variables, we've got the
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event name and we've also got the phone number, etc. And the final thing that you need to customize as well is also the agent details. Right? So this is the override agent ID. Now, if you want to get that, all you do is you go back to your agent, as you can see right here. Then you're going to click on single prompt agent. And from here, you would just copy this code in the top right. That's going to give you a copy and pasteable agent ID that you paste inside the quote marks over here. Right? So you just in boom and then if you want to run the phone call, you just click on test step and it's really easy and simple to set up. Right? So basically you get a bunch of ideas of what you can create, how to create it. Just make sure you set up send body JSON using JSON. Plug that information right there. If you want to get the JSON from me, you can get that inside the AI profit boardroom. I've put the HTTPS request example inside the instructions right there. I will delete my API key after this. But that's basically how you can do it. Simple and easy. I would also recommend maybe you want to run this through whatever you want. And also here inside the knowledge base, you can click on add new knowledge base and just plug in the information. So for example, let's wait for that. You can see here I've uploaded my sales SP for the appointment selling agent who can just go off and figure stuff out, right? So really simple and easy. You can add knowledge and if you have an SP on how to do outbound calls like we do for our setters, then you can put that inside the knowledge base plus some information about you, etc. And that just helps make the agent way better. So you can, for example, add web pages, upload files, add text. So we could go in here. We could type in like julian. com and then you can see actually is this really interesting. So actually takes all the pages from julian. com. Which ones do you want to include inside the agent knowledge base, right? So we can just take the homepage, hit save or the about me page, etc. Type in the details and we can autosync that. So if you make any changes to your website, you can autosync that every day. Click on Julian Goldie website for example. Hit save. And now that knowledge is going to be updated to the AI agent. So when it makes outbound calls, it's going to be way smarter because it has more context, right? It's not just a generic AI agent. You can also, for example, even take a transcript of your best outbound calls, upload that to the agent, and then this can do it as well. So it's absolutely amazing what you can do. Easy to set up a phone number. The only thing with the phone number is like you can't make outbound calls until this is fully verified, which literally takes one minute, but you have to open up your phone app, take a picture of your ID, plug in your face, etc., and then it's all verified. And then you can start doing calls, right? So, you'll see a little button in the top right that says verify your call. And then you've got the phone number, you got the agent, you got the knowledge base, etc. All set up inside this bad boy. And then you got the API key over here. Just going to plug that into NA10. like you can see and then you can easily make outbound calls right automated as you could even set up a trigger where it's right as soon as this web hook comes in and that web hook is an appointment from your calendar then as soon as that comes through then you make the outbound dial right so it's like speed to lead is super fast and you can just call people as soon as they've booked in the appointment so let's test that out again we'll take the appointment here's the full workflow again you can download it inside the AI success lab which is completely free. Just go to this section here. It's called NA10 outbound calls agent like you can see. And then if we go inside NA10 we'll run a test here. So we'll click on this. Just make sure as well if you want to test this out that you're testing each stage of the process. Right? So you have to test this then that then this then that. Right? And each stage of the process has to work because it relays the information onto the next module. So, for example, if we click on this one, then we're going to click on test step. And there's always a little bit of a delay before the outbound call comes in. Obviously, it's not like directly instant. There we go. — Call from, — of course, after. — Hello. — No worries at all. Take your time. I'm here whenever you're ready. Just let me know when you're available to chat about your upcoming appointment with Julian Goldie. — Hello there. — Hi there. Thanks so much for picking up. This is Julian Goldie's team. I'm just calling to confirm your upcoming appointment with us. Can I quickly check? Are you still available for the scheduled time? And is this the best number to reach you on for the call? — Boom. Right. That's how easy it is. Ready to go. You can customize the agent a lot more. You can make the prompts much better and smoother. But that was just a little demo to give you a little taste of how it works. Right? If you want the workflow, you've got it attached inside the AI success lab. Link in the comments description. I've given you the demo, shown you how easy it is to link to your Google calendar. You could also have that as a web hook from
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your CRM as well. To be honest, I would recommend the CRM method because the faster you get to those appointments, the more likely they are to confirm and be impressed by your amazing workflows. And you can see the knowledgebased example. I've included all the links inside the AI success lab. And yeah, that's basically it. Now, if you also want other automations on like a scraper agent, a social media post automator, NA10 is absolutely amazing and you can get all of these templates inside the AI success lab. It's completely free. You can just join today. Big community of 5,900 people and also a bunch of other training like you can see in this section here. Now, if you want to upgrade, if you need support, if you need help, if you want people to actually answer your questions, because that doesn't really happen inside the AI success lab, then feel free to get the AI profit boardroom. This is a community focused on making more money and saving time with AI. And additionally, inside the AI profit boardroom, you can get weekly calls. So, you can jump on live calls with us, ask any questions you have, get help and support, get all the coaching that you need. Also, you can DM us with any questions you have. And additionally, you can post inside the community here like you can see everyone is doing and then get help and questions and advice on whatever you need, right? And that's the best way to do this. I think if you need help, if you need support, if you want to save hours of messing around, this is the best place to go. So, feel free to get the AI profit boardroom link in the comments in the description. So, what I'm going to show you is an easy way to basically scrape anything with NAT. So, you can see this is an example web scraper that we've built. And if you pull up this example right here, you can actually see that we've scraped 50 dentists. And you can do this for free. I'll show you how in a minute with all their details like the phone numbers, email addresses, etc. And then we've actually blasted that over to a Google sheet, which you can see on this example. And here's an example of the data that we scraped directly from Google Maps. Now, it doesn't have to be from Google Maps. could be from like I think there's like thousands of platforms on the app that I'll show you in a second. But essentially, if you want to quickly scrape data for free and then plug it into a Google sheet automation, like you can see, you can easily do it with this web scraper AI agent. Now, I've actually included the template for free inside the AI SEO success lab. So, you can get the scraper agent directly inside the AI SEO success lab. If you want to get free access to it, just import the JSON as you can see down here. We've also included links to all the relevant resources. And let me show you exactly how this works and how to set it up step by step. So essentially what's happening here is we're running request and then we've plugged this into something called ampify. Now ampify directly inside the appy store here they have something called actors. Now actors are like basically pre-built agents for web scraping and AI automation projects, right? So you can get an API from any of these different models and then you can plug that into NA10 and use this to build stuff out. So as an example of that, I actually took the Google map scraper and then plugged that into NA10 to create this automation. Now you may say, okay, is this free or not? So we actually get free usage and I rinsed it this morning and it's only cost me 41 and you get $5 of free usage that resets every month, right? So you can do this for free. It is a scraper. You can get the data and then you can plug that into a Google sheet automatically. You don't even have to map out the fields. It's incredibly easy. So you can see here I mapped it automatically to a Google sheet. And it's absolutely insane that you can do this. Right? So if you want to see exactly how to set this up, let me show you. So I'm just going to zoom out here and I'll set it up from scratch as an example. So let's say we want to set up the scraper. So we're going to click on HTTP request over here. Then from here we're going to select post. And what we need to do is select whatever we want to scrape from these actors inside the app store. Now if you're wondering, okay, which one do you want to use? It depends on your use case, right? So for example, if you wanted to just get some details of local leads, then Google maps would be great. If you wanted to, for example, scrape Instagram and get like the latest viral post, you could use the Instagram scraper. There's so many different apps inside here. It's absolutely wild. Facebook comment scraper, even like LinkedIn profile scrapers, really powerful for lead generation, but also just for scraping data and building stuff from the web, right? Even like for example, getting ideas for viral content from Tik Tok and places like that. So, for example, if we go over to Google Maps and then what we're going to do from here is we're going to type in whatever the search terms are that we want on Google Maps, right? So, let's say for example, we wanted to search locally inside the US. We could select our city and location over here in the location section. Then inside the search terms, we can select whatever we want.
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So for example, we could select restaurant. And then here you get to choose how many places you want to extract from the data, right? So for example, do you want to extract 50 different responses or 30 or etc. Right? Obviously, the more responses you use, the more API credits you're going to use in your free usage section here. You can also, for example, choose whether you want to use like Google Maps listings and all that sort of thing. But the point here is that you can scrape almost anything you want using these free agents. And the cool thing as well about NA10 particularly is that with NA10, you can self-host this and then it's free as well. So then at that point, you're not paying for NA10, a yeah, all of this is pretty free. So it's really simple and easy. So for example, let's say we want to search restaurants in New York. I don't know something like Chinese restaurants, right? Let's say you're a lead gen agency targeting Chinese restaurants. We can take the information and then from here we're going to go to the API section. So let's endpoints and then from here we're going to click get the run actor section. So let's copy that. As you can see we're going to go back into the HTTP request. We are going to also make sure we select post instructions inside AI success lab if you want to get free access to this stuff. So put the URL method equals post. We got the information right here. And then we just need to make sure that we got the details plugged in. And also just make sure here that you've selected send body and then using from here go back to ampify XF app and then go to the JSON section. And inside the JSON section, you can just copy this code over here. And you see here how it's selecting Chinese restaurants and it's scraping 50 places inside the US. Right now, by doing that, you can see all the different search filters you've got inside here. It's just like a Google search or like using any sort of filter, but the difference here is like you're scraping data and you're scraping live data like you can see. So then you're going to take that, copy that, plug it in here, select JSON, using JSON, send body post, and the URL. We'll test that step and you can see that has worked perfectly. All right. So once you've set that up, then what you can do is add another HTTP request. And inside this section, you're going to keep it as get. So make sure that you select get here. And then for the API, you're going to go to API endpoints. And then from here, you are going to select get last data set items. So if you go to get last data set items, we'll copy that. We'll go back to the web scraper, plug this in as URL, hit test step, and one thing we just need to do here quickly is just check on the runs, which we've done, and then you can see an example right here. So, we just executed that workflow as an example. This is for the dentist workflow, but you can see an example of how it works step by step here. So, let me show you from scratch right here. So, we've got get, then we'll get the endpoints. Scroll down. Get last run of data set items. Plug that in over here. Hit test step. Boom. There we go. If you want to change the endpoints, filters, etc., let's go back to ampify, Google map scraper, go back to manual, then change the search. So, let's say, for example, SEO agencies. We want to scrape something like that. We'll plug this in. We'll search in New York. 50 places to extract. Grab the endpoint. Get the run actor one. Copy that. Go back to NA10. Insert that into the first HTTP request. Post URL send JSON using JSON. And then obviously if you change any of the filters, then the JSON changes as well. So just copy that. Like you can see. Go back. Delete that. Plug that in. Hit test step. Make sure it works. Boom. Shakalaka. That's working nicely. And then you can see all your previous runs over here. You see what we're doing, how we've worked, how much it cost, right? And you can see this is finishing scraping, right? So, what I would typically do if you wanted to run this from scratch, you can add a new section here. wait 22 seconds before you go ahead and then that will just allow the website scraper to scrape and complete scraping before you move on to the next step which is this one. And again, we'll just test that step and boom. Look at that. We've got all the internet marketing services and SEO agencies in the local area of New York using that process. Right, really simple and easy. Now, if you want to clean this
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up, keep it all neat and tidy, you can click this button for tidying up in the bottom left. And then if you want to add a new module, let's say you want to send this to Google Sheets or whatever, we can add Google sheet section here, append to row. So, we'll click on append row in sheet. And then inside this section, we can search dentists just for my random template. Then inside here, we'll update that sheet. And you get an option here which is map each column manually or map automatically. So I'm going to map automatically just save a bit of time. And basically we've got all the headings inside the spreadsheet mapped to the Google map scraping search. Right. So what you can do here is if we click on test step now that's going to send all this information inside the Google sheet. You can see it's all been appended to the spreadsheet. So, we've got, for example, all these SEO agencies inside New York from Google Maps listings, and we're living the dreams, my friend. Right now, let's say, for example, you wanted to take this information and then, for example, do some outreach. There's a couple of ways you could do that, right? You could take the information from the spreadsheet. You could go up to Chat GT. You could say something like, "Okay, create a short, funny, personalized email to this person from my SEO agency to sell white label building to them, right? Something like that. I'm going to use GPT 4. 1 cuz that's what I tend to like the most. " And now you can see he's created a interesting outreach email template based on the personalized details of that lead. Right? So for example here it said let's millionify right and millionify is the name of the agency even more millionify with easy link building like that. Right? So I hope business building. I'm Julian Goldie founder agency. How many tabs you have open right now? If the answer is too many you don't need nothing on a plate. Here's how we can help you. Millionify plus our links equals your client's ranking. Your margin is laughing and you're finally having time for lunch. Blah blah. So if you want this, here you go. We can insert a calendar link. Boom. So that's one way to do it. The other way you can do it is like for example, you could go inside. This is super interesting. You could take the information like so get an AI agent, right? Then we can define this information below. We can take all the information from the Google sheet. All right. So for example the title, the address etc the website like and then we can add a chat GPT agent. So open AI chat model. We'll select GPT just for now. And we can take the information from Google Sheets and send that to the AI agent. Okay. Now, if we stop that workflow, we can now tell the AI agent with a system message, you are an outreach assistant helping me write emails for my leads based on the information in the prompt, right? And we've put in the address, the website, the title. We could put the neighborhood as well. What else could we put? I think that would be it to be fair. Category name maybe as well you want to include in there, right? And then you just label this. You put like title for example here. And this is basically taking the information from the Google sheet about the lead and then using that to just automate the outreach. Right? So for example, if we say okay lead details here based on the information in the prompt, write a nice personalized email, right? Something like that. Then we can go inside chat. We just need to make sure that's working. I think it's going to be okay. So, let's just test that workflow. And then you could chat with the AI agent and just use that to get responses. So, if we delete that and then we add a new node here and we'll put chat trigger. And then you can see it's taking the information from the Google sheet right in the email based on this, right? Pretty simple and easy. Boom. Now, if you want to get access to all the templates, etc. Just go to the AI success lab. It is free. Link in the comments in description. You can get free access to this. Go to the classroom, go to the AI course, and then you'll see the latest module right here with the NA10 scraper agent details and you can just download this JSON file like you can see. So, we can click that, download it. Then, we can go back over to NA10. Just going to hit save. We'll exit that. Open up a new workflow. and we shall import the template that I've given you for free. So, let's import that from file. Open up the web scraper.
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scraper. And there you go. You got the web scraper ready to go. Obviously, you need to plug in your own details inside this, but it's quite easy to set up, super simple, doesn't take much time at all. All right, but basically, it's one of the most powerful ways to do lead generation and automate it with AI, right? Because if you combine the AI agent that we've built with the web scraper, you can create personalized emails. It's really simple. Doesn't take long at all. And you can do it inside the chat nodes like so. Okay. Now, if you want like personalized coaching on this sort of stuff, if you're struggling to implement it or you're struggling to actually get it loaded into NAN, etc., then you can actually go to the AI profit boardroom, which is basically like an upgrade from the AI success lab, right? So come to all my best automations, workflows, templates, AI agents. But the most important thing here is you get support, right? And I would say that's the biggest thing is like you want to be in a group of people that are learning AI, learning with you, growing with you. You can jump on weekly Q& A calls. We're actually increasing this to three calls per week, which is going to be super interesting. So we're actually going to be launching coaching calls three times per week inside the AI profit boardroom. link in the comments description and you can get all the support you need from the DMs, from the community, from the weekly coaching calls and the classroom emojis inside here. So, if you really want to learn and implement this stuff, I would recommend the AR profit boardroom. But if you want to get it for free, you can get it inside here. Feel free to get it. Let's try another one now. So, we're going to try and build something with, for example, Tik Tok. So, let's put in a HTTP request here. We can do that. In fact, let's try Twitter just to mix it up. So, let's say we're targeting like content around AI agents. We want the latest content, maybe like the top 10 tweets, then we can do that. So, we'll grab the API key. So, grab the endpoint over here. We'll copy that. Go back in here. Post URL here. Then inside the send body, we'll select using JSON. Then we'll grab the JSON over here. I'm flying through it now because I've already shown you how to do this stuff. We'll copy this. Plug this in. Hit test step. That's running now. And then for example, what we could do here is we can add a new HTTP request. We're going to link that in. We'll just select it on get. Then we're going to take the URL from the API. So let's grab that. We'll get the endpoint as you can see. We'll scroll down. We'll get the last run data set items. Copy that. Then we're going to go back to NAN. Paste in the URL over here. You don't need to do anything else. And you can see the node is executed perfectly and we're good to go on that. Happy days. All right. So it's really easy to set this up. Once you get the hang of it, once you get your head around it, it's super simple stuff. And as promised, inside the AI success lab, link in the comments description. If you go down to the NA10 scraper agent, like you can see, you can download the template in the resources section. You got all the links over here. You've even got the template for the spreadsheet that I used as you can see. And this is completely free along with all of my best agents. If you also like for example social media post automations and short, you can get that inside the AI success lab along with a community here. And if you want to upgrade, you can upgrade to the AI profit boardroom link in the comments description. This is a much more supportive community where you're going to get coaching, DM help. You can ask questions inside the community, get support whenever you need it. You can jump on weekly coaching calls as well. You also get access to tons more training templates, etc. And you connect with like-minded, serious entrepreneurs who are serious about scaling and learning how to use AI automation to make more money and save time. Feel free to get that link in the comments description. Today I'm going to show you how to automate posting reels to social media automatically. And this works with Tik Tok, Instagram, Twitter, basically any platform you can post to. You can automate the posting of social media content easily to any platform, right? Using this NA10 workflow. And you can see an example over here. So here's an example. This is an automated post to social media with AI. The whole video was actually generated with AI and it's very easy to actually post that directly to social media as well. Right? So for example, this was actually posted through this NA10 workflow and you can see an example. So we actually took the video from platform called blow sent over and then posted it directly to Tik Tok on autopilot along with the captions and everything else. Again, you can set this up for Instagram or any other platform and it's very easy to do with this AI agent. So if you want to do this super simple workflow and you
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can automate this so you can generate videos say every hour and then post those automatically every hour to social media like you can see in this example. So what we're doing here for example is we're scheduling the trigger which is going to be every hour. So if you want to set this up, let me show you exactly how it works. I'll start up a new workflow inside NAM for you just to build it from scratch. All right. So, you're going to click on create a new workflow in the top. Then, from here, we can just add a new step. And we'll call this schedule trigger like you can see. Now, you can schedule this hourly or every 20 minutes, however often you create content. But essentially, what we're doing here is we're going to schedule this to run on autopilot so that we don't need to post ourselves. And this is going to take URLs from a spreadsheet, read them, and then post them directly to social media. So let me add another module like you can see right here. And basically what this is doing is reading our spreadsheet and then put in the outputs over here. So if you want to set this up, you would just click on the plus sign. Type in Google Sheets as a module and then from here you're going to select get rows. So if we type in get rows in a sheet, this will take the data from our pre-formatted sheet. Now if you need a template for the sheet, let me give you an example. So you can see an example right here. And if you need to steal that sheet from me, link in the comments in description to the free community where you can get all of these templates for free. All right, you can see what it's basically doing is taking the idea, the caption, the production, the environment, and then plugging that into our sheet. So if you want to take that, we're going to take the spreadsheet from Google Docs. We'll take the spreadsheet named NA10 from my Google Drive. And then we're just going to select the sheet which is this one. And you can actually filter this by production. So if you had like options for like pre-production, not ready for production etc. then you can select that inside column D. So for example here we can select all the inputs and we'll just click on test step and you can see now it's taken all the information from our spreadsheet. So we've got the row ID, caption etc. Okay. Now from here what we can do is we can use a JSON input to create the next step. So you can see here we've got this new setup and basically what we're doing here is we're taking the information from Google Sheets and then plugging that into JSON format. All right. So we got mode equals then and what this is doing is it's actually taking a platform called blot which is an amazing name by the way and then it makes it really easy to post to different social medias. Now there's many platforms where you can do this but honestly if you want to automate it I think potato number one has the most amount of platforms and number two it makes it very easy to set up. So let me show you what I mean. You can actually get a free trial and you can try it for free. But basically, this allows you to grab an ID. So, if we go and log in here, you sign up for a free account, you can get a free trial, and then inside your settings, you can grab an ID, right? So, you can see here, for example, we've got account IDs for my Tik Tok, for Twitter, etc., right? And so what we're doing here is we can log in with any of these platforms. You just click login. Really easy and simple. Then you can connect your platforms like you can see. And then you can grab the account ID and plug that into JSON format inside N10. So you can see here for example squiggly bracket quote marks Tik Tok colon then the ID from my platform and then the key over here. All right. So that's basically it. That's going to send it over to Blow Taylor. And we'll just test it out. There we go. And basically what this is doing is grabbing the ID. So it's taking the information from the JSON format here, pulling that into the output. And then the final bit is the post section here. So what you can do is you set up a new HTTPS quest. Then you're going to select post as a method. use this URL for the back end. So, post into blow potato. And then inside the send header section here, you're going to plug in your API key. Right now, I'm going to delete my API key after this video. You never want to be showing your API keys online because obviously it's like a password that you're sharing with everyone. But essentially, if you want to post social media automatically, then you would get your API key. Now, if you're wondering how to get an API key, you would just go inside your settings. So, my. blot. com/s settings and then scroll down here and you can get API access. Right now, if you copy the API key, you can plug it
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into your NAM10 workflow like you can see. And then the format for setting this up, it's blowy API key all lowerase. That's how it's set up. And then underneath, you're going to select send body. And inside the send body section here using the fields below you're going to put the name and the value. So inside the name section we just put URL and then inside the value section we take the URL from cl like you can see right. So I've got this stored on clean. You can get it wherever you want. If you look at my previous video and the previous section you'll see that I've got a full automation on this. If you want an automation to create reels like you can see in this video, then you can get that inside the AICO success lab like you can see. All right, pretty simple and easy. So now you set that up. Really isn't simple. We're just going to test it out. Make sure it works. There we go. So you've got that ready to go. That's been sent over to Blow. And then this is the easy bit. You're just going to connect it to whatever social media platform you want. Right? So, for example, if you just want to do Tik Tok like I did, and again, you can do this to all platforms. Like, it doesn't have to be limited to Tik Tok. Could be Instagram, threads, Pinterest, Blue Sky, YouTube, Twitter, etc. Whichever platforms allow you to post videos, right? If you can't post videos to Pinterest, then you wouldn't use this automation unless you're posting images. But essentially, that's how it works, right? So, inside here, we are going to set up the HTTP request. So, it's going to be post. Let's select post over here. Then inside the URL, we're going to use the back end for bloato like you can see. And again, if you want to get like any of the URLs, you can actually get the automation from me inside the AS6 success lab like you can see inside the resources section and you'll see screenshots step by step where you can actually view all the settings for each module. Right? So, if you want to steal this stuff from me, you can just grab it right there inside here. Right? I also add it to the AR profit boardroom which comes with like weekly coaching and all sorts of upgrades on that. So now we're going to click send headers. We're going to send the bloat API key which is the same as before. And then we just have to send the body which is a JSON. So if we send body, use JSON. Take this in. Plug it in over here. Hit test step. Make sure that works. Post submitted. Boom. We should be good to go on that. All right. So, if we go over to my profile on Tik Tok, here we go. That was a video I literally just posted. Pretty awesome. And it was easy to automate with AI. We create the whole video with AI and it's posted social media with AI. Unbelievable. So, that's basically how it works. So, if we go back to automation now, the only thing that I would do here is just make sure you do actually rename all the steps, right? Keep it neat and tidy. So, for example, in the Google Sheets section, I'm just going to call that get URLs from Google Sheets. And then inside the HTTP request, I'm going to rename that and say post send video. And then for each social media platform that you add, so for example, Tik Tok, then you just rename this as well. So, if we click on rename, we'll type in Tik Tok here. Hit rename, hit save on that, and then we're good to go on this. All right. You can also activate this. So you can activate the workflow and then it will run on autopilot every hour based on your scheduled trigger. If you want to test the workflow, you can see we can test that like so. That's firing over and we'll probably post it to for the first time to social media like you can see. All right. So that's works perfectly. Let's go back to Tik Tok now. Go on the profile and you're good to go on that. All right. There's a video ready to go. Simple and easy. So, if you want to automate shorts, like you can see, this is exactly how to do it. You can post to any platform. I've shown you how to do it for Instagram and everywhere else. And it is pretty awesome. Now, again, if you don't want to set all this stuff up yourself, then you can download the JSON file. So, you can download that and then if you go to NA10, click on import. Just going to hit save on that before I overwrite it. Import from file. Here we go. Insert the JSON. We've just literally just popped in that JSON file right there. Right. So, if you just want the template to easily import, you can do it like so. No problem at all. And that's probably the easiest and fastest way to do it to be fair. So, it's absolutely amazing what you can do. Again, if you haven't seen it already, let's go back to the ARCS success lab.
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So, inside here as well, you've got the NA10 shorts automation, right? And you can get the JSON file to import here. And basically inside here, as in you can actually automate the full video itself. And it was really easy to do with this NAN workflow. Right? So, if you want to learn how to actually automate the workflow, how to create videos, etc., you can see step by step. This is exactly how from stage one down to stage six, we automated the images, the video itself, the audio for the image, and even the idea and the prompts for the video as well. And then stitched it all together down here and then sent it over to Google Sheets. So, it's a beautiful automation. And if you combine the power of posting social media automatically, like you can see, and you combine that with the power of automating shorts, then you've basically got something that can automate shorts, post them 24/7, and it's incredibly easy to do. Plus, if you are too lazy to set this up or you're like, I just can't be bothered, then you can grab the JSONs and import them directly inside NATM. Right? So, link in the comments description to this. Just go to the classroom AI course and you can see all of these automations on the left hand side that you can download and use etc. And if you want to get an awesome community of people focused on making money and saving time with AI feel free to get the AI profit boardroom. This is an awesome community focused on just making money and saving time. If you need any help with this stuff cuz I know it gets complicated then you can ask inside the community. We also do weekly Q& A's calls inside here and it comes with all my best automations, templates, AI agents and workflows. All right. So, feel free to get that link in the description. Appreciate you watching. And if you want to get a free one-to-one SEO strategy session that shows you how to get more leads, traffic, and sales, feel free to get that on this free call. We're basically going to give you a custom tailor game plan that shows you how we take websites from zero to 145,000 visits month and generate hundreds of thousands of dollars in sales on auto. You'll discover the secret link building, answer any questions you have, and it's completely free, right? It's just designed to help you make more money and save time of SEO. So, feel free to get that. Appreciate you watching and I'll see you on the next one. Cheers. Bye-bye. Today, I'm going to show you how to automate shorts like you can see right here. So, this is an example of a short actually automated with NA10. And it's actually not that hard to automate this. I'm going to give you the full free template today as well as I'll show you how to post plus create the video. And you don't even need to come up with the idea itself. Now, it's pretty simple. So here is the full automation that I used to create it. So you can see an example right here. This is the example of the short that was created and then the final output. And then additionally these are the accounts that can go viral. So you can see a bunch of AI automated animal related videos absolutely popping up on Tik Tok and you can now easily automate them using the process I'm about to show you. So let's get straight into it and I'll show you exactly how this works. So essentially what we've got here is stage one, stage two, stage three, stage four, stage five, and stage six of the process. This is actually an automation I learned from Robotnuggets on YouTube. You can see his original video right here. Would definitely recommend checking out. But essentially, this is how you can build the full automation. And if you want to get the full template from me, you can get it for free inside the AI success lab. Just click the link in the description to get access to that. You can download the JSON then import it directly into NA10 as a free template. So if we have a look at this automation, basically what we're doing step by step is first of all we are generating the idea. So you can see here we've generated the idea and this is the idea generator. We're using chat GBT basically to just come up with related and relevant video ideas that we can create and automate a short about. Right? So you don't even need to come up with your own ideas. If you do have something in mind, then you can easily put that into the prompt. And let me show you exactly how this looks step by step. If you want to build it yourself. So, we're going to open up a new tab inside NA10 if you want to have a look at this. I've actually got a freehour course on NA10 on YouTube if you need to check out anything more on this. And essentially, if you go over here, open up the workspace, you can start creating your own workflow just like this. If we go to create workflow in the top right, and then from here, we're going to start building stuff out. Now, the cool thing about this is it's automated. So, it's scheduled to trigger every hour if we want to, or we can trigger midnight or whatever we want, right? So, we can have days between triggers. We could set this up to trigger every hour. So, we could say every 60 minutes, generate a new short. And it's incredibly easy to do. So, first thing you do is just set up a trigger. So, let's say, for example, schedule trigger. And if we switch this now to hours and let's say you want a short to come out every 60 minutes you can set up hours then 1 hour and then you're good to go on that. Right from here and this is stage one of the process. We're then going to come up with the idea generator like you can
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see. So the way that we're going to do this is click on the plus sign and then from here we shall click on chat chip in open AI and then the method for doing this is message model resource equals text operation equals message model and model is I honestly for speed I would recommend using chat GBT40 but if you want like the best quality prompts then I would recommend using GPT 4. 1. So that's up to you how you want to set this up. But if you want to get similar outputs to what I created, then you can easily use chat GBT40. And obviously that's going to be a lot cheaper for you as well. Right. Inside here, we can simplify the output. And then we're going to put the output content as JSON. And then inside this section, we're good to go. All right. Now, we just need to select this prompt. If you want the full prompt or if you just want to steal this stuff from me, then just get it inside the AI success lab. You can grab the blueprint down here and you can see all the resource links like but essentially if we paste that prompt in directly here, this is going to come up with the ideas for our prompt for our videos. So you see here it says you're an AI designed to generate compelling viral video short ideas for social media. And I've put just for fun I've put make it jungle themed about animals in the jungle. You could easily change this and say, okay, make it SEO themed for example, whatever your niche is, whatever you want to post about, it doesn't have to be about anything in particular, right? So whether you want it to come up with ideas for you or whether you want the ideas to be generated automatically, you can do it directly inside this prompt here. And if you look at the outputs, like it's pretty amazing what it came up with. So for this example, it came up with the caption. So it's like monkey steals tourist GoPro and films jungle life. It came up with the hashtags, posted it automatically to social media. And then you can see this is one minute long, this short, which is pretty cool as well. You could also monetize the account and the images are super nice. In fact, these are not images, these videos, but you see the point. And essentially, then the monkey just goes off and films the jungle and that sort of thing, right? Films always chunky mate, jungle maze. And so this is basically how it goes step by step. And then from here, what you're going to do is you're just going to change this. So let's say for example we're going to say make it SEO themed and educational. All right. Then we're just going to test the step. At each stage you want Make sure it actually works because if you don't test the steps then you don't know if it's going to work or not. Right? So for example here for our business related content it said the day Google got a cold comes up with ideas and then it's like a quirky animated story follows Google the Google robot who catches a cold and accidentally buries a small business site until an SEO detective Metamax saves a date with metadata and backlinks. Right? So it's very creative in the way that it comes up with ideas and it's all automated using N8. So once you've set this up, you've now got the idea generator, right? And that is stage one. Stage one is complete, my friends. And that was really easy. Right? Now stage two is actually taking the video prompts. So taking the ideas and then generating video prompts. Now if you want an example of this and you want to know how to set it up and just set up nice and clean like you can see stage one, stage two, etc. Then that's pretty simple as well. And so all you do is you can press shift and S and that will generate a sticky note for you and then you can annotate that. All right. So for example here we'll put stage one idea generation. We're good to go. All right. So stage one idea generating. Here's a schedule trigger. Here it is step by step. Boom. Now we're going to do stage two. And I'm just going to resize that so it looks nice and neat. And here we're going to duplicate and take this down. And this will be stage two. We shall call this idea to prompts. So now if you want to change the color of the sticky note, just keep it nice and organized. You can do it like so. So you can select different colors right here. And then we can keep going along. So the next stage is to take the idea and plug it into a Google sheet. And this just keeps everything organized. Plus you can see what's ready for production, etc. So if we type in Google sheets over here then from this section we shall select if we click on this just double check sheet within document. All right so the operation is going to be append row. We're going to select append row and then I'm just going to choose a spreadsheet from my Google drive. Let's take that one. Then we're going to take the sheet here second. Here we go. and we'll take the sheet and then we're going to map each column manually inside the spreadsheet and essentially just so you understand what's going on here. So at this point we are creating a nice Google sheet template like you can see
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where we've got the idea, the caption, the production environment and the final output which is actually the video file right so if we click on that actually take us to the video file to download we've got the video file downloaded and ready to post to social media and you can actually automate the posting of social media as well which you'll come on to. So you can see the ID, the caption, production, environment, final output, and the ID as well. What you would do is you would just map out the document. By the way, this is inside the school group. You can just grab the NAM workflow and then make a copy of it. So you just go to file, make copy of the spreadsheet. And from here, the ID, we're going to put row minus one. All right, that's basically going to label the ID. So video one, video two, etc. minus one because obviously we're not starting from row one. We're starting from row two. Row one has the headers inside it. Then from here we're going to take the idea which is generated by chat GPT. We then have the title, the environment, etc. All right. So the caption we can take as the title. The production we can just type in like for production for example. environment, we can just drag and drop that and that's going to be dynamic each time this workflow generates. And then final output we keep blank because we're going to generate that later with the URL, which I'll come on to in a minute. All right, so this is basically how you can map out the content of your videos into an NA10 workflow. Pretty simple and easy. So stage one, idea generation, stage two, idea the prompts, and then what we're going to do from here is we're going to set up the prompt generator. All right. So, this is a message model. We'll click on plus. We'll type in message. Type in chat GPT. Then message a model. And if you want to save time here, you can just duplicate this. Right? So, we can right click this, click on duplicate, and then from here, we've got the AI model duplicated. Right? Just saves you time when you're setting this up. Now you can also rename each module just to keep it clean and organized. So for example here we can put video idea generator and then inside this section we'll call that prompt generator. And if you have any questions as we go along feel free to comment. Happy to help or post inside the AI community link in the comments and we can help you out. All right. So, with the idea generator, then we're going to do the prompt generator, which we got here, and we're going to start setting this up. Now, the way that we're going to set this up is we're going to just copy the original prompt. So, we're going to open this up and take that and plug this in. Right. So, basically what we're doing here is we're saying, you're a hyper realistic prompt engine built for generating ultra specific documentary style image prompts. Make the prompt simple and easy. Okay. And then your objective is to create a 13 scene static photo sequence. Here's what to do. Here's how to do it, etc. And the first thing we need to do just before we do that is just test each step. So, we're taking the data from the previous module, plugging it into the next one. And also if you want to save the outputs. So let's say for example you don't want to generate this every single time. You want to pick up where you left off. You don't want to have to test each part of the workflow each time. Then what you can do here is you can actually pin these. Right? So if you right click the module, click pin, this will save the output. So you don't need to test the workflow every single time you're setting this up. All right. And then you can also save here as well. So, inside the prompt generator, I'm just going to take this information, plug it in here, then we'll click test. And there we go. So, you got examples here of what we're doing step by step. Now, we're just going to flick to expression like you can see. And inside expression, basically, this allows dynamic fields. So, it takes the inputs and the ideas and the environment and everything else and plugs it over here. So you always want to be testing each step just making sure that the outputs are what you expect because if you don't get the right outputs from the previous module the next module is not going to work very well. So you can see here now it's combat ideas the stepby-step scenes etc. So Google Chrome Roma blah blah here's what it's doing step by step and there we go. And by the way if you just want to copy and paste all the prompts for me get it inside the AICI success lab. you can just steal the JSON right there. Right? And then from there, you would just go to import from URL or import from file and upload the JSON file. So you can see here we've got some formatting. Now this just makes the code more accessible for the next steps in the process. So, we're going to click on add module, click code, and then we're going to take the code from here
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plug it in, test out a step, and now you see how this has turned all the stepbystep scenes from here. So, we've got scene one, scene two, scene three, etc. It's plugged it into a full description here, which is going to make it better and easier for the next stage in the process. Right? So when we're asking the AI to generate the outputs, this is going to be much easier to digest for the AI. And that is stage two completed. All right. So stage one, idea generation. Stage two, video prompts. And then we're going to move on to stage three, which is generating the images. So I'm just going to duplicate this sticky note again. We'll plug that down here. We'll rename this. So this is where it starts getting interesting because now we're going to generate the images, right? So even if you didn't want to make videos, you can now generate images on autopilot too, like you can see. So inside the generate images section, what we're going to do now is a HTTP request, right? And the model that we're going to be using for this is Flux. Now Flux is pretty good for generating images in a cost effective way. And the way that you're going to do this is click the plus sign down here. And then you're going to type in http quest. switch this over to post. So we'll take this. And then the other thing that we need to do here is select send headers. So if we select send headers, then we're going to take authorization and we're going to get an API key, which I'll show you how to do in a second. All right. So if you want to get an API key, you're going to go to FAW AI. Now F AI is really good for generating videos, sound, images, etc. And it's all inside one single platform, which makes it much easier. It's kind of like open router, but for multimedia, not just for generating text. So with FA, you can grab an API key. You can see I've got my API key plugged in, which I'll delete after the video. And the way that you can get an API key here is if you go to API keys at the top, then you're going to click add key. And then you're going to copy the API key that you get back. Like you can see, make sure you do copy it because the problem is once you set this up, you can't go back and view the key, right? So if I click on that, I can't view it. I can only delete it. So just something to bear in mind there. But once you've set that up, we can then start using Flux to generate the images. So you can see here we're using q. file. r run and then the URL basically for creating images with flux on autopilot. So we've got the URL for Flux. We've added the headers authorization. Plugged in the key there. And then for this next session, we're just going to click on send body. I'm going to select the type as raw application slashjson is the content type. So you select JSON there. All right. So raw and then application/json. And then inside the body here, you're going to take this section here, plug it in. Boom. Ready to go. So we're just going to test that step now. And as you can see, that's basically sent a bunch of requests over to Flux for each scene inside the prompts. Right. So, let me talk you through what we're doing here to generate this cheeky little video right here. We had to come up with the idea. The way that we did that was we selected this stage idea like let me show you what I mean. So, we had to generate the idea which we did over here that sent over to Google Sheets. Google Sheets created the prompts for the images and then you can see here we're generating the images in this section using a HTTP request and the models that we're using here are chat GPT and also Flux for now but we'll come on to more in a second. So you can see here we've selected the body we're creating the images like so we've plugged that information into our workflow and that's generated all these images. Now, if you want to see what has been created so far, let me show you how. So, if we go back to the AICS success lab, and then you're going to click on flux. So, this link right here, then you're going to click on requests. And inside request, you can see all these requests we've created for the Google bot. So, these are basically like the images we're generating to start creating our short video, our faceless video. So if we go back inside here, we've sent the request over to Flux to generate the images. And now what we're going to do is we are going to add a new section which is just wait, right? So it takes a minute or so like you can see for the images to generate.
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So we're going to add a new module called wait. Just add a second there. Click test step. Make sure that works. You can see that's waited. So, we've got everything inside the queue. And then from here, we're going to click on get images. So, if we click on get images, which is another request. Type that in. And then from here, we're going to copy the URL. Plug that in. All right. So, this is the request for taking the images from Flux. So, what you can see here is we're doing the request. We're choosing the method as get. Take the from flux. Add in the JSON format after that. And then we need to click on send headers. Inside the send header section here, we've got authorization. And we're just going to plug in our API key again. Okay. And then we also need to send body type. So let's click on that. And then from here we'll type in this into body section. Just double check that. All right. So, we've got the files ready to go. So, what you can see here is these are the actual files generated by Flux that we've literally just generated a second ago, which is pretty cool. So, we can not just generate the images with a HTTP request, but we can also get those images directly from Flux. And now we're automating and we're getting pretty close to towards generating the videos and that sort of thing. Now another thing you can do here at the bottom is you can select options and then batching and this will just help you avoid some errors. So if you select options here and then from this section you can just select 2,00 milliseconds click test step and that will just stop it from having any errors. Right? So if there's any errors or if you overload the server etc then you can bash URLs and it will just help you avoid any errors along the way. So there we go. We've got the files back now. Boom. And you can see there's multiple pages here at the bottom and we've completed stage three. So just to recap here, we've created the idea, we've generated the video prompts, we've generated the images, and now it's time to start generating the videos. So what we can do from this section is if we click on create video prompts, let me show you how. So we're going to duplicate this. We'll call this Stage four is create video prompts. Now we're going to click the plus sign. Just drag that down there. Type in chat GBT. Hit open AI. And then from this section, what we can do is we can click on analyze image. So what this going to do is going to analyze the images that we've generated just a second ago. So you've got the images generated from the URLs, which you can see over here. We're going to drag that over. So we drag that over to image URL section. We're going to select the model as chat GBT4 latest. There we go. And then what's in the image? We're going to take that. Right. So this basically analyzes the images from our prompts and also the image URLs which we've got down here. So, I'm just going to grab the prompt from the previous part of the workflow and we'll cut that and plug it inside here. There we go. All right. So, again, this is a dynamic JSON prompt based on the prompts from before and the URLs from the images we generated. We'll just test that. And as an example, you can see for the GoPro monkey image that we generated the video, it's broken it down step by step. So it's like a young monkey grips a black GoPro with both hands crouched low on a lichencoed rock. A soft sunlight brushes the tips of his orange foot. Right? So simple prompts, easy to generate, and we're automating it with this process. So if we go back to the example prompt and we compare that versus the output. So, a young monkey, you can see it's quite a small monkey right there, grabs a black GoPro, which we've got over here, crouched on a rock. There's the rock, and the sunlight is gracing fur, which you've got over here, right? So, it's basically mapping out exactly what we want inside the image. Now, it can take a while for that to generate, but you can see now we've got that generated. The reason it takes a little bit longer than usual is because you're analyzing these images which does take time. So from here we've created the video prompts and we're now going to do an HTTP request for video generation. And the model that we're going to use inside here is cling. So if we click on HTTP
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request, then we're going to select post as the method like so. Then we're going to use this URL as the URL for generating the outputs. By the way, any part of this video, if you need the prompts, if you just want to steal them from me, I'm showing them on the screen. You can pause the video, take a screenshot, and just ask chat GPT to type them out if you need to, right? Or you can just download the template from school and then plug that in and this school is free, right? So, inside the authentication section, we're good to go. And then inside the send header section here we are now going to select authorization. And again we'll take that value for the API key. Like you can see inside the send body section we're going to select raw application JSON and then we'll copy the body like so. So if we test that step now and one thing you should do as you go along here is just make sure that you label everything right. So for example you see how we've got get images on stage three rows over here. Just going to do that now. Change this to get images. We'll hit rename like escape off that. And then if we go inside the get images section we're now going to plug in the prompt that we found before. We'll keep going through. Xiao says hi. Shout out to you. And let's just wait for this to load. There we go. All right, then we're just going to test this again. Just waiting for this to load. So, bear with me. There we go. So, now this should work. Let's just hit test step. Make sure this works. Okay. Yeah, there we go. Good to go on that. And I'm just going to rename this video creator so I know exactly what it does, etc. And then we're going to wait again. So I'm just going to add a wait section here. We'll wait a second. But again, if you were like generating the outputs here, it might take 4 minutes for cling to actually come up with outputs. So that's what we're doing step by step. And also in this section, you can see we're using cling video, right? Cling video. That's what we're using. Now I'm using the standard version. You can use the pro version which is even better to be honest. So if you want like better quality images or something like that like this was just a test run. The images still look good to be fair the videos. But if you want even better responses then you can switch your models right. So for example if we go inside the course again then we're going to go to requests. Inside the request section here you can see the inputs for the video and what we've created so far. But if we actually go back here, we can switch on the drop down to pro, right? Image to video pro. And that would just make sure that the images you're using are even better quality. So if you want the creme de la creme, but you're willing to pay more, then you would use video pro. If you want like the standard sort of usage, then you're going to switch to image to video. From here, we've done that. We've worked our magic. We're just going to wait a second here. Generate the outputs. There we go. We're good to go. And then what we're going to do is click on get video. Right? So we're going to add another HTTP request. Click get. Type in the URL to get requests which you can see right here. Now important thing to note here is if you have a space after the request URL, it's not going to work. All right? So make sure that you use the exact same format that we've got right here. And then we've attached a dynamic JSON request from the previous responses which is going to get the cling video step by step. Right now just to recap here you've got get, you've got URL inside the settings as well. You would send headers using fields below. Then you're going to select the name and the value for your API key. Again, yeah, ever you're typing stuff like this, especially if you're sending headers and stuff like that, you've got to get it precise. If you add the wrong keys and stuff like that, it's not going to work. So, for example, with the API key, we put key space and then we have the rest of the field right here. And then for sending the body, we'll select that. You can just duplicate it from the last one, but I just want to make sure it's super clear what we're doing here and how we're doing it. For sending the body, we're going to take the description from the prompt and then we're going to put the batch in as one and 2,000 C interval time. Just test how it works. Some people are asking like how do you get access to the templates etc. So let me show you how this works step by step. So let's say you are watching the live stream. You can click on the video, find the description down here. Click on that
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and then inside here go to classroom AI course and then you can find the template and all the resources down here. So go to classroom and then AI course. Hope that makes sense. Just going to double check this, make sure we've got it all right. And also it does take a while for the outputs to generate on cling. Right. So if you want to see where you're up to in terms of generating the outputs from cling then we can go out to cling over here. We're going to go into requests and you can see for example the videos ready to go over here. Pretty cool. Charles says, "Good to see your show. You seem to be doing good works. " Thank you very much, sir. And then I'm just going to change this as well to video. And there we go. Just one thing to bear in mind here when you're doing this, make sure you got everything set up correctly. Otherwise, it can break. It is temperamental. So, you want to make sure everything's matching nicely. Now, once you've done that, you'll see an example like this. So, you just test step at each stage. Here's an example. And then you're going to move on to the next stage. All right. So, we get the video like so. Here's an example. You're good to go on that. Then you got stage five. So stage five is where you start generating the sound. Now I'm using GPT 4. 1 for this. Again, it is a little bit slow. So if you don't want to use it, you can just test something else. You can see an example of the output right here. And then this again is a chat GBT message model. We've got the prompt like basically it's just a prompt to generate the music. So, for example, it looks at the image. It's a lively symphony of rainforest life unfills. Leaves whisper overhead as a humid breeze stirs through the treetops. Beautiful and poetic. And it's got descriptions for each scene. Then from there, it's going to start creating the sound. Now, this is another HTTPS request post. We're using audio for generating this. Plug in your API key again. And then send body select raw JSON. And here's the example of the prompt that we're using. Then you're going to wait a second and then from there get the sounds. So what this does is it takes the audio from audio, you send the headers, you send the body, there's the descriptions, etc. And you're good to go on that. And that leaves us with stage six. Now stage six, you're basically stitching everything together. You're taking all the code, then putting it into a format it can actually understand. So, it's taking all the URLs, it's downloaded, it can download the video. So, this is like a 5-second clip. It's taking all the 5-second that we've generated with cling and stitching them together. So, you can see here what we've done. We've said code list elements run for all items, language, JavaScript, and then here's the code to generate that. That's going to stitch the video using another HTTP request. So, post here's what we do the headers and then raw content type equals JSON. Again, you're just going to take the URLs like so. These are all the video URLs we're plugging in. So, you can just drag those in. Then you're going to wait a second and this gets the final video. So, for example, if we take a look at this output and we open this up, this is the final output of the video we generated. like you can see downloads it automatically. And then the final thing that we want to do is just plug that into our Google sheet. So here's an example of all the settings we're using the idea etc. Here's the code that we plugged in. And basically what that's going to do with the final output is it's going to match the column based on the idea. We're mapping it manually. Then it's going to look up that idea and plug it into our Google sheet. So if we go back to the Google sheet template, which you've got free access to, it will plug it directly into the sheet as you can see right here. So this will plug directly into the Google sheet and have the URL. So that's basically it for automating reels. The next part that I'll come on to later is how to actually automate the posting of all of this directly to social media. So just to recap here, we've come up with the idea, the video prompts, generated the images, generated the videos, created the sound, stitched it all together, then plug that URL into a Google sheet. And with the Google sheet, we can actually take the outputs and then automate posting that directly to social media as well. So here's an example, right? So if we look at this one, you can see that for the idea of a monkey, we've got the caption
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production, the environment, and then the final output of the URL, which takes us to this video that we've just downloaded, right? And you can automate posting that directly to social media like you can see, which I'll come on to in the next video. So that's basically it. That's how to automate and create reels with just one idea. You don't even need to come up with the idea yourself and it's super powerful using this whole spreadsheet. So, thanks so much for watching. If you want to get free access to all the templates, workflows, etc., you can get that inside the AI SEO success lab in the comments in the description. And inside this community, we post a bunch of like notes from the courses and the videos that we do. So, you can see like clang and stuff like that. And then if you want to upgrade and get for example like coaching weekly calls etc feel free to get that inside the AI profit boardroom link in the comments description. So you just click on that and then that'll take you to the AI profit boardroom and you can sign up and get coaching an awesome community of people focus on really scaling with AI and also all of our best courses agents and workflows and that sort of thing. So feel free to get that link in the comments description. If you want us to build this out for you or any sort of SEO automations as well, feel free to book in a free SEO strategy session link in the comments description and we can help you out with that too. So thanks so much for watching. Appreciate it and I'll see you on the next one. In this free AI agents course, you're going to learn how to basically automate anything using AI agents. Now, one of the first tools that we're going to kick this off with is N8N. This can build seriously powerful AI agents. In fact, your only limit is your imagination. Let me show you exactly what I've worked on and we'll start with the basics and then we'll get more and more advanced as we go through. We're going to be talking about how to use Gemini, Deepseek, Chat GBT agents, how to insert feedback loops, human approval loops, even how to, for example, browse the web and scrape the web with AI agents, and even some of my best workflows, including AI avatars, web scraping, sales agents, etc. Super excited to show you everything that exists inside here. Now, if you just want to get started with the basics and you can just go inside NA10, click create workflow and from here you can add a step which is an AI agent, right? And basically what you're doing inside NA, you are essentially creating workflows that link AI APIs. Using these workflows, you can build all sorts of complex custom agents that you would have never found before. Now, I'll show you some example workflows in a minute, but this how it works. Now, usually when you're building out these AI agents, you want to have a trigger. So, this could be, for example, like a Telegram message. It could be a WhatsApp just adding a chat inside the chat down here. So, you can talk with your AI agent directly. All right. Now, once you've done that, you're going to add a row to an AI agent like you can see. And inside this AI agent, you can just give different directions. Now, you got two choices here. You can number one take the prompt from the chat trigger or you can define the prompt that you want. Right? So if I go into the chat I can set that as a trigger and that could be the prompt for the AI agent or what I can do is I can click on define below and take the input inside the chat over here plug that into the text or just change it to something like you are a friendly assistant. Right? And then what you can also do is you can have a system message. So a system message is like giving instructions on who that agent is. And this way it knows exactly what its role is, how it can use, how it's using its AI, what is basically its main priority. All right. So once you set up your AI agent, then you can go inside the chat model here and you've got all these choices of AI. So you can use, for example, Anthropic, Azour, Deepseek, Google, Gemini. Gemini is actually free. You can grab an API from astudio. com and then plug that for free directly into Google Gemini. You could use grock. That's also got some free options. Mistral llama is free. That's hosted locally. Open router openai. Now to keep things really simple, I'm going to use open router. And the reason for that is because you get access to all these different APIs directly inside it. Right? So if you select open router and you plug in your credentials here, just click on the dropown, go to create new credential, then you can plug in your API key. Now if you're wondering, okay, how do you get an API key from open router? Just go to open router dot. You're going to sign into your account or create one. And once you've done that, just go down to your settings in the top to hover over your profile picture, click on keys, and then from here you can create your API key that you're going to plug into NA10. And the good thing is once this is set up, every workflow you create is already plugged in and ready to go. So you've got access to all these different APIs directly in here. If you want to go free, on a budget, for example, you can actually just type in free on the
Segment 84 (415:00 - 420:00)
model section and choose between all these different options. So you've got DeepSeek there, Google Gemini, Flash Experimental, Llama. Llama is very fast. Not many people know or use it. And you got Quen as well, which is another Chinese AI from Alibaba. So, for example, we can just go with Deepseek chat, for example, or flashlight preview, and then we're good to go on that. All right, so that's our AI plugged into the agent. Now, this agent won't work without adding a chat model. Of course, you've always got to add that. And inside the tool section over here, you can select between all the different apps and tools that you want to select, right? So, for example, you could insert a tool like HTTPS. This would basically scrape the internet, right? So, it can scrape the internet based on the URLs you give it and it can just read live web pages. You can also, for example, connect this to Gmail. So, if we type in Gmail on the tools over here, we've got the Gmail tool. We could plug in an extra tool. You don't have to have one tool as well. You can plug this into multiple places. So, you could, for example, link a superbase database. We could add inside here Tin, right? And look at our LinkedIn profile. And you can see all these different branches of tools that we can build in here. We could also add Twitter. and then we can link our AI agent to multiple different apps. I'll show you how to connect these later in the video. But essentially, that's what you can do with the power of this. Now, inside the memory section here, this basically gives the AI agent recognition of all the other stuff that you've created. So, if we click on window buffer memory, this is by far the easiest to set up. And once you've set that up, you can basically read previous interactions that you've had with AI agents. The agent has a memory of your interactions with the chat box. Now, that's useful because the more context your AI agent has of how you like to interact with it, the better the outputs of what you get from that AI agent. So, we could add, for example, like 10 different messages. And this would read up 10 past interactions with the model, and it would look at those as context of what we've done so far. And if you want to delete any of this, just rightclick the module or just click on the bin at the top there. And there you go. All right. Now, if you wanted to test this workflow out, this is basically how to build your own AI agent custom built to what you want in literally a couple of seconds in literally a few clicks like you can see today. Then we can say, okay, are you working? And that's going to trigger the AI agent to work. And it's, okay, I will be a friendly assistant. How can I help you today? All right. And so, you've built your first AI agent in the space of a few clicks. Very simple. And also, the API didn't cost you anything because we're using Google 2. 0 flashlight preview. Bear in mind like when you're using some of these APIs, if you're using a reason model, you're going to get slower responses. And I wouldn't recommend if you need quick responses or you want a quick workflow, I would recommend just using an API, for example, flashlight preview that seems to get much faster responses without the deep thinking mode. All right, so something to bear in mind as well. Otherwise, what you're going to have is like a chain thought in the reply, which is quite time consuming, quite annoying, etc. Now, if you want to, for example, turn this AI agent into a chatbot, right? So you don't want to use it inside NA10 directly. But you do want to use it as a chatbot. You can just visit anytime. Then you can click on active over here. So you can make your workflow active. And then inside the chat message, you can click on make chat publicly available. That will give you a URL that you can navigate to. Then we're going to go back over here. We'll hit save on this. And now we can navigate to our chat. Right? So this is the URL we got from NA10. We got our chatbot ready to go. We can say, are you working? And it's great. I'm ready to help in a friendly way. What can I do for you today? All right. That was so easy to set up an AI agent custom build to whatever you want. Now, if we hide the chat and then if you want to know how to like scroll, you can just press command and that will help you scroll to the left or to the right. Inside the chat here, you can also add a more complex system message. You can actually take the inputs from the previous workflow. For example, we can take the chat input and then put that as a prompt that it works with over here. So, we've dragged that in. You see how it says JSON. put? That is the input from the previous workflow and that previous step is the chat like we can see. And then you can also choose whether you want like a conversational agent, a tools agent, all sorts of different agents there. And inside the settings as well, you can see all these different options you get as well, right? So you can say stop workflow on the error or continue and just pass a message on and carry on. And then for the next output, you can actually link the output to another AI. So you can have different AI agents with different roles or what you can do in here is you can say okay send this message that we got from the AI agent over to Twitter right whatever you want so that is the basics of setting up an AI agent inside D10 it's going to get a lot more complex all the way to the point where you're building stuff like this where you got positive feedback loops you got like four different agents in one single workflow is working with Gmail and it's got filters for the messages you send so whether stuff is approved or declined and you got multiple different AIs and APIs working together like you can see. We're going to cover that later in this course. But for now, if you want to know how to do web scraping inside, what you
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can do is you can connect a key request and this will look at your live website. So, for example, we've plugged in juliani. com as the URL to get and then that's going to send over to our AI agent. And you can see as the prompt inside this AI agent, we said rewrite the copy on this page plus make it more interesting and fun. add some emojis and write it in HTML as a beautifully designed landing page. All right. Now, if you wanted to test out, we can go over to the chat here. We can say get started. And basically what this is going to do is it's going to scrape the web. So, it scraped my homepage and it's taking that live data. And now it's using that to create the HTML. And the output that we get back from the AI agent is going to be available once the workflow is done. Right? And you can move the chat up or down like that. Just click on the arrows pointing up and down. So we'll wait for that to load and I'll show you what you can do with this. So for example, you could take live data from the web. You could take headlines. You could use that as research. You could also, for example, use it to create your own website. Anything that you can do with a web scraper, you can now plug that straight into AI agent and you're ready to go on that. And I think this is super powerful to know because a lot of people love these AI tools, but most of them are based on outdated data, right? You got stuff like for example Claude that's outdated. You got these other AI tools that are outdated, whereas this can plug live into the internet. So, we've got the HTML here to preview. If you go on to liveweave. com, we can preview the HTML that's rewritten from our main homepage. So, I'm just going to delete the previous stuff that was here. Plug that in. And we've got our landing page recreated like, right? And that was based on the live page that we have over here. Right. There's no CSS in this, but there is the HTML content, which is what we've rewritten with AI on autopilot. When you're doing all this stuff, your only limit is your imagination. I've seen some absolutely mind-blowing workflows that I never actually thought was possible. And honestly, you can create something that's better than a SAS tool. Like, you can create your own startup SAS in the space of minute. You get faster and faster as you use this more. And additionally, it's all personal to you and your situation. I don't code. I don't understand code, but I can easily build an AI agent that does. and I can create a team that's almost like a team of employees working together, but instead of waiting days or weeks for the work to get done, it gets done in one click like you see today. So, with that, let's get straight into the rest of the course. I'm going to show you how to build AI agency using Gemini 2. 0 completely for free. So, first thing you want to do is go over to NA10, get your free trial for 2 weeks, and then also from there, you're going to grab a free API key. Now, the way to do that is you are going to go to agu. com. Then you're get API key. From here, you're going to click on create API key. And this is completely free. And you can just click create an API key. Right? Once you've done that, you can actually plug that into an AI agent workflow like you can see inside NA10. Now, I'll give you access to all of the tutorials and templates from today inside the AI profit boardroom. But essentially, what you can see here is we've got an AI agent ready to go plugged in. We've tested, are you working? It is working. It's beautiful. It's easy. And it's very simple to create these one-click AI agents for free. Let me show you exactly how we set it up step by step. Delete that. We'll start from scratch just for you people at home watching. We're going to click on add a new step now. And inside the AI workflow, you want to make sure that you have AI agent set up, right? Or what you can also do is just add a first step. And if you want to trigger the workflow with a chat trigger, so for example, when you chat to your AI, then you can easily do that using this method right here. So what you can see is you're building out an agentic workflow. And it's really simple and easy inside NA10 and you just click on AI agent, right? So you can connect different apps and automate a lot of different things using this autonomous AI agent. Right? So if we click on AI agent so it's going to connect it over here, we've got the options. I'll come on to exactly how to set that up in a second, but essentially when a chat message is received, that will trigger the AI agent. And then inside the chat model over here, you want to select Google and we're going to select Google Gemini chat model so that we can use the latest. Now, if you're wondering, okay, how do you connect the API that you got from Gemini inside here, right? So, the way that you do that, create a new credential and inside the Google Gemini account section here. You can leave the host as the default and then plug in your API key, which again you get from AI Studio, click get API key, create API key, and then you can plug that in. Pretty simple stuff. Now, the good thing is once it's set up inside NA10, you got your credentials saved. They're ready to go. You can select them anytime. Now, the important thing here is that you're not going to use a default model selected. So, it's going to start off with Gemini 1. 0 Pro. Obviously, you don't want that. You want to go for 2. 0 and the latest model. So, you can see here we've got different dates on the releases. So, if we look at the dropown, for example, we've got like 2. 0 Flash experimental, 2. 0 0 flash, which is great, but we want the ones that have just been updated on February the 5th. So, for example, we've got Gemini 2. 0 flashlight preview and Gemini 2. 0
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flashlight preview 5th of February. All right, so those are the two that you want to focus on. So, we'll go with this one for now. And that is ready to go and set up. If you want to just test that it works once you've added your API key and the chat trigger, then you can go inside the chat and just say, are you working? Just to double check, okay, is this actually working? Is it have we got the AI assistant ready to go? And if it's set up correctly with the right API key and everything else, then it'll say, "Okay, yes, I'm working. I'm an AI and always ready to assist. " Okay. All right. Once we've done that, if you want to just reset the workspace and zoom out a bit, then I press Commander Zero. That just zooms me out. And now we can zoom out and look at everything. Now, from here, what you can actually do is just connect tools. So, you don't just have to set this up as a standalone chat box. You can, for example, like connect different apps, different tools over here. And this is super useful because now the AI agent could take the data from whatever tools you connect and then you can easily feed in that information. So let's say for example you want to create a AI content creator using Gemini. We can take this prompt right here that I use for creating content. I'm going to plug that into our AI agent and inside the add option section down here. We're going to select systems message. And instead of having the default, which is you are a helpful assistant, we're going to switch that now to create an SEO optimized article for this keyword equals the keyword I give you, we're going to test that step now. So if we go inside the chat and we'll say keyword equals what is SEO now going to write that content for us, right? So you see here, we've got the whole article ready to go and this is all customized to the prompt we plugged in earlier. So you can see it's actually created a full article. How long is that? That's 1,000 words with one little prompt. We just give it the keyword and it does everything else. So it's like why is this and the content itself is written really nicely. You can see here how you can optimize blog content, SEO content, Twitter content, whatever you want. Even YouTube scripts you could easily do. And it's written it really nicely. As you can see, it's also formatted it super nicely. And we've got bullet points. We've got SEO optimized content. And here's the other thing as well. It's actually personalized all the content. And bear in mind, this is free, right? This is not costing you anything because you're using the free API from Google and trial from NA10. And if you don't like it, then you can get rid of it after two weeks if it doesn't get you the ROI, right? And you get expert help. Look, SEO can be complex. My agency has done this. If you want to join the SEO lead circle, go here. If you want to book in a call, go here. And if we click on that, it's created a personalized link to our funnels. Right? So, we've easily automated personalized content that's better than most humans can write, nicely formatted and ready to go into blog. And if we actually hide that chat now, we can select this to go out to a blog or a Shopify blog, right? So, if we type in Shopify, you can connect this to your e-commerce store. If you want to automate blog content or content on WordPress, you can just click on WordPress right there. Let's have a look if it's got web flow as well. I know few people switched into that recently, including authority hackers. Saw that recently. So yeah, you can connect this to Web Flow as well and then you can just automate really high quality content personalized to you with all your internal links in and boom shack you've done it for free using the free API from Google AI studio. Crazy stuff. Now if we type in WordPress over here we're going to click WordPress. Then on create a post and from here we can select what we want to do. So we can say resource post operation create title. We can put as what is SEO or whatever your keyword is. And then inside the add field section here you're going to add your content and you can add a slug as well. So I'm just going to delete slug for now cuz I don't want to manually fill it in. And then for the content itself, you can just grab the output like so. And what I'm actually going to do inside the AI agent as well is I'm going to say write this as boom. All right. And what that's going to do using the chat feature is just create super personalized content with internal links, nicely written for free in literally a minute, and then send it over to WordPress. Super easy. Crazy how powerful this is, right? So, let's just test this works. All right, I'm just going to log into WordPress. Happy days. And then we need to link the chat message to the AI agent that was unlin a second ago. I'm going to go over to the chat. I'm going to refresh the chat. Just delete all that. and we'll say okay keyword equals SEO train in Japan. That's going to write the content. If we just lower that slightly so we can see what's happening. So basically just to explain the workflow in case you're unsure what's going on here. Basically we've taken the chat message which is just plugging in our keyword. The AI agent the SEO AI agent is taking Google Gemini taking our prompt which is keyword equals writing the content and then creating a post over at WordPress. Now, if we go to WordPress, we'll go into posts. We've got the title of the article we just created just here. And if we click on preview, boom. Look at that. So easy
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simple to do. How long did that take? Literally just one single prompt plus a keyword. We're ready to go off that. Super powerful and easy to do. And then it said to us, okay, SEO training Japan, you guys crushing it in the Japanese market. And the content itself, super nicely written. Additionally, what it's done is it's actually linked to our funnel pages where we want to send traffic and get clients and it's personalized all the content to us as well. Obviously, you would edit it before you publish it. This is just a draft which is the beauty of this. So, you quality control it before you publish it, but you can create free AI SEO agents that can create blog content or create social media content and you can do it using Gemini Pro, which is the latest model from Google. Absolutely amazing. So, what we can also do here is if we move this over here, we'll move that over there. We'll move this over here. And what we're going to do from here is we're actually going to duplicate that AI agent. And I'm going to unlink this. So, let's delete the link between the AI agent and that. And we're going to connect that to another AI agent. Right? And so, what this is doing now is we're going to have Google Gemini over here as well. Inside the Google Gemini chat model, we're going to select 2. 0 and the February the 5th model. So, the latest version of Gemini. And then we're going to say inside this AI agent, right, which is totally different from this one. This one's going to be for writing content. And actually coming up with keywords. And so, I'm going to say inside this AI agent, when I ask you for a keyword, give me a keyword that's related to my niche. One single keyword. No other responses. All right. And what I'm looking for here is like longtail localized simple eg SEO training Japan SEO training London. All right. And you can plug this prompt in however you want. I'm just doing this for speed. Obviously, it's a YouTube video. We're not going to go too in depth on that. But basically, what we're trying to do here is we're going to ask for a keyword that's going to run through the keyword agent. And I'm just going to rename this agent SEO keyword agent. Rename that. And then inside this agent, this is actually going to be our SEO content writer agent. Right? And so now we can automate the keyword, send that over to our content writer agent, and then send that over to WordPress in one smooth workflow. Now inside here, what you're going to do is you're going to execute the previous nodes. All right. So I'm going to click on play over here. Then we're going to open this up and we're going to take the output from the previous keyword agent and plug that into our SEO content writer agent. So, if I take the output, we're going to take that and we'll plug it into the keyword section over here. All right. And so, now every time this agent runs, I'm going to say pick one keyword from this. Use that to write the article. Okay. So, now basically what it's going to do is it's going to pick one keyword from the outputs of our SEO keyword agent and it's going to use that to write the article. So, if we go back to the keyword agent now, we just need to really give it some clear instructions on exactly what it needs. So I'm going to put that inside the chat input which is our prompt into the chat and say based on this when ask you for a keyword give me one single keyword that's relevant to my niche one single keyword no other keywords this will be used for an AI agent to write an article. Okay longtail localized simple gio training fan SEO training London and you can personalize this prompt to you your niche whatever I want to show you how personalized you can make it. We'll say okay now SEO training Dubai. All right, we'll put examples of keywords equals this. Okay, so now we're going to test that step. And you can see here the output. So it's giving us an output here. And so if we go into our chat model, we'll refresh the chat. So reset the session. I'm just going to hit save on that as well. So we can save our progress. And if we run the whole workflow now, I'm going to run the chat. I'm going to say okay, my niche equals SEO agency. And just going back to the SEO content writer agent. So if you want to edit that, click on that. You want to define change the source for prompt from connected chat trigger mode to define below. And so now put keyword equals and that's going to be the chat trigger for our SEO content writer agent. Right? So it's all linked together. And now we're going to test it. So I'm going to say my niche equals SEO agency. That's gone straight through the keyword agent. Lightning fast. Now it's writing the content and that should plug over to WordPress. So we'll just go back over to our post inside WordPress now. And we've got the article ready to go. So let's click on preview. Boom. Look at that. Right? The AI picked out the article for us, the keyword. All we have to do was tell it our niche, right? And it did everything else. Now, if we go over to WordPress and the output here, now that we've got the keywords from the keyword node, we can actually plug those into the title because that's picking the keyword for us, which is the title. And also, if we add the field here, we can select slug. And then inside the slug
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we can also put the keyword from the AI agent. So, if we just grab that, we'll plug that in. And if you understand what we're doing here, I'm flying through it because obviously it's a YouTube video and this could be like an hour long, but essentially what we're doing here is we are literally automating our whole SEO strategy. Not just the content, not just the publishing, not just the keyword research. Literally, all we need to do is just go here's my niche. The AI agent will figure out the keyword. Then content and then it's going to send it to WordPress. So let's try that workflow again. I've already shown you it works, but I want to show you something else now. So, we're going to click off that and we'll refresh the chat. So, reset that. And then inside here, I can say, for example, okay, niche equals SEO agency. We'll head into So, that's feeding into the keyword agent. Now, it's feeding into the content writer agent. And boom, we've just sent that to WordPress. ASM N is by far the best platform, the easiest platform to use once you get your head around that. I started using this like two weeks ago properly. I actually started testing out about a year and a half ago. Couldn't get my head around it and now it is absolutely amazing. So you can see here we've got a nicely formatted article. It's all personalized to us. We didn't even have to think about the keyword that we were going for and the AI has come up with the keyword, content, personalized it to us, sent it to WordPress, created a draft, and that is absolutely amazing. Now this can be an infinite workflow, right? So you don't just have to send this to WordPress. If you wanted, you could add another action in that. So if you click here, you can actually send this over to Twitter as well. And you could, for example, like create a tweet, right? And you could automate all your social media content, not just your SEO content. You could even, for example, like create a video script for that, and then send that over to whatever your favorite AI video content creator is. But the main thing about this is you are creating an absolutely amazing workflow based on this AI agent. So what I'm actually going to do is I will take the workflow from today the JSON file and if you want to import that into NANT yourself. So you can import the JSON. Then what I'll do is I'm going to plug this into the AI profit boardroom. If you go to SOPs we add a new page autonomous Gemini 2. 0 AI agents and we'll call that Gemini 2. 0 AIO agent likes. All right. And also what I'll do is I'll take the transcript from today turn that into an SAP and then you got the SAP plus the template from today. Additionally, if you go inside the AI profit boardroom because we're still building it out right now, for example, like Helma posted recently saying, "I'm looking for assistance with designing an opt-in page, setting a blog, and building up a website. " And so, what we actually did was I just created custom SAPs and tutorials for them directly here. Right? So, if you want to be a part of this community and you actually want something customized to you, I'm building out these AI agents completely for you for free to help you. And you can get all of that inside the AI profit boardroom. Normally, you're paying agencies like $2,000 to $5,000 to do that for you. We did it within 24 hours for Hale Lima just to help her because we want to build the best AI community in the world. So, feel free to join that link in the comments description. And if you want to get a free one-to-one SEO strategy session that shows you how we retail websites from zero to 145,000 visits this month and generate hundreds of thousands of dollars in sales on autopilot, feel free to book that free SEO strategy session in this free link building acceleration session. You'll get a free SEO domination plan, discover the secrets SEO link building, answer any questions you have onetoone. You'll learn the best link building strategy for your website, plus how to quit our ranking competitors and how to 10x SEO traffic based on what's working for us and our happy clients. Feel free to get that link in the comments description. Today I'm going to show you how to build one-click DeepSseek AI agents using a new workflow I've never shown before. So what we're going to do is first place you're going to start is at n10. io and then once you're logged in you're going to go to create workflow and over here you're going to add a new step. Now inside this new step what we're going to do is we're going to click on chat trigger and that will trigger a automation based on the actual chat. Right? You can even make this publicly available if you want so you can share it with people that sort of thing. And by the way I will give you the blueprint at the end of this video. So, make sure you keep watching if you just want to steal this workflow from me. Now, from here, what we're going to do is inside this workflow, we're going to click on AI agent, right? So, if we click on the plus sign, we can now create an AI agent using DeepS and we can trigger that to run our automations. So, we've set up the chat trigger, which means the automation will start as soon as you start chatting with the AI agent. How do you start chatting? You just click on chat down at the bottom. And then, how do you add Deep Seek to the AI agent? Now, at this point, we need to connect DeepSeek. How do we do that? So, if you're using an older version of NS10 like me, we need to update the workspace. So, what we're going to do is we're going to make sure that we update this, hit save changes. The workspace will go offline for a minute or two. But then, if we go back to our dashboard, once that's updated, which will just take a minute, then we can get back into the game. All right. So, that was super quick and literally took about a minute. So, from here, what we're going to do is
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we're going to go back into the workflow. All right. And once you're back in your workflow, you're just going to hit on chat model. There's two ways you can implement DeepSk, right? So they actually have a Deepseek chat model where you can plug in the API directly or what you can do is you can plug in open router. Now the beauty of open router is that you can actually add in your credentials right here and just get an API key from open router. So if we go to keys over here and click create key and create your API key like so. Once you've added a new credential, plug in your API key, hit save. That's going to say connection tested successfully. Once you've done that, you can actually flick between many different models, right? So, you don't have to be limited to just Deep Seek. But if you do want to use Deep Seek, then you actually get access to R1 Distilled Llama, which is a distilled version of Deep Seek R1, and that's completely free. And additionally, you get access to Deepseek chat for free as well, right? And you can have Deepseek R1 for free as well. So, you can leverage the power of Deepseek and its API completely for free and you can between many different models. We've got Mistra, Nvidia, Open Chat, Quen, etc. And so it's crazy what you get and how you can use it for free. For example, if we select DC chat like we now have that plugged into our AI agent. So if we go into chat and just check it works, we'll say are you working? That's going to trigger the automation and we can see if open router is actually working or not. Inside here we can test the AI agent. If we just say are you working? We've got that running like so. AI agent running through open router using deepseek and that chat model is working right there. Now I've selected deepseat chat. You can choose whatever you want but that's basically how it works step by step. Right now what we can do is inside the tool section we can connect this to many different apps and also we can give custom instructions to the AI agent. So if we delete that we're going to refresh the chat here and we'll hide that chat. What we're going to do from here is we're going to select add option system message. We're going to say inside here using a previous prompt that I've used for creating video transcript blogs. We're going to plug this directly into the system message over here. And basically what I'm going to do is I'm going to create a AI agent that can basically take the transcripts from my videos and then turn that into a blog post ranks for SEO. Now you might say, okay, why would you do that? Actually, a lot of my transcripts written with AI are actually ranking really well. You can see, for example, all this traffic that we're getting with potential leads for our relevant keywords you want to get on Google, right? So here's a keyword. Here's a page. And these pages are written with AI using the transcript from our video example right here. The same for example inside perplexity as well. We can rank our videos but also our blog content inside these AI search engines. Get more customers that way. Now what you can also do is we can delete this model right here. So let's delete that and we can stop the whole workflow and then we can actually add deepseat directly in here as well. So if click on deepse chat model then we're going to add a credential from deepseek directly. So it's gone to deepsee. We went to the API platform. This is available at platform. dec. com. Then we're going to go over to API keys. Create a new API key. And then inside the credentials here, we can just add those in. As you can see, hit save. That's connected. Nice and easy. Inside the AI agent, we've got the same prompt, same system message, etc. And we can take the chat input inside the system message section. We'll plug that into the top. So now the system messages using this input, which is a video transcript. When I paste in my video transcript, write part one of the article. Okay. Then we're going to test this step. And then you can see here, for example, I did simplify the prompt just to make it faster for the sake of this demo video. But you can see here we say create a blog from my video transcript that I give you. And then inside the response here, it's given us a video transcript. We plug that into a new document. We've got the blog ready to go right there. Let's have a look at that. So it's taken that transcript and then created a nice little block. So really simple to create these AI agents. And then what we can actually do is we can actually create multiple different AI agents and feed them together. Right? So if we click on AI agent over here, this is going to take the input from the source prompt. Then we're going to add the system message. Write the second part of this article like so. This will just carry along in a long line. Now we're going to link this back to open router. Again, you can use deepseek if you want to. We'll select open router for now. Then we will select deepse chat. DC chat is a lot faster and it's better for writing content. You will get the output but you will also get the thinking and reasoning behind that output which is not very useful. So what's better to use is the deepseek version 3 which is the chat model right here. So what we've got over here is an AI agent that's programmed to create content and then another AI agent and you can link these both to DeepS inside these modules here so that you can write part one and part two of your article. Right? So for example, if we open up this AI agent, you can see here we've got tools agent. Then we've put source for the prompt defined below. And then we said based on my video transcript that I pasted in create a blog and basically this chat input is the chat
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transcript that I would take from dcript. So I've got my video transcript right here and then I've taken that and plugged it directly into the chat. It's what's going to form part of the prompt. So this bit is dynamic and it changes every single time you write a prompt. Now, inside the system message, these are the instructions on how to write the article, how to prompt it, etc. How to get the best out of it, right? And so, what we're going to do is we're going to call this transcript one, part one, and then we'll call this one part two. So, we got part one and part two. And then what we can actually do is so we take the transcripts like so. And then we're going to link this to WordPress. Create a post. I've already got my WordPress credentials plugged in right there. We'll just call this example one just so you can see how it works. And then inside the content section, we are going to take the transcript from part one. Now, inside the WordPress section, what we're actually going to do is take the outputs, right, from the AI agent. So, we got transcript part two, and you can just drag and drop that into the output section over here. And what that will do is actually take the outputs and plug them over into WordPress. So, let's test this step like, and you can see it's worked nicely. Now, if we refresh the page, we've got the preview ready to go. So, if we click on preview, this is the example. And you can see we got the content from the page. And actually, it's pretty long, right? That's all personalized to the transcript that we plugged in. If we check the word counter, it's 1,200 words. However, there's an issue here because what you can actually see is that it's written in markdown, right? So, you got these hashtags and all that sort of thing. So, what you would do inside the prompts earlier in the workflow, if we go back to NASA now, we'll press escape to get out of there. And inside here, we're going to say, okay, output HTML. So, output in HTML. And we'll do the same inside part two as well. There we go. And that's just going to make it better formatting for when it goes over to WordPress. So, if we go back inside the chat now, and we'll test this out. So, I'm going to grab this transcript. So, plug that into the chat. Hit enter. That's going to run the automation nicely. And now it's on to part two of the transcript. and it's writing the content and then it's pulling it over to WordPress. So if we refresh WordPress now we can preview this and that's running over to WordPress now. Now the one thing I want to say over here is that inside the chat right if you're loading in something quite big like a long article complex like you can see right here you got multiple chains inside the steps multiple agents working together like these transcript agents then you can use other APIs right for example if you find like deepseers too slow for you then you could use something like mistrout which is super fast or you could use Google flash thinking right so it depends what you optimize it for so we're just going to refresh the page Now we have the preview ready to go. Let's open this bad boy up. And now we have the content ready to go. Like you can see it's all updated even as a CTA to join the free AICO accelerator which is our Facebook group. This is all customized to us, nicely formatted, ready to go. And obviously you would quality control it before you publish it, but you get the idea. You could also delete that and you could add like a different app. So for example, if we type in apps over here. So if we click the plus sign, we can actually type in for example like Google Docs. You could output that to Google Docs. If you actually wanted to publish it directly to LinkedIn, they do have this LinkedIn tool and then you can click create a post. And if you want to delete any modules that you add, you can do that too. But yeah, super powerful and simple. Now also based on this, what we can do is we can click on advanced agent set up another deepseek module right here and this can be our keyword agent, right? So let's say for example if we add open router select deepseek this can be our keyword agent that basically finds a relevant keyword and title for our article. So we'll click on define below inside this module. Then we're going to grab the output from the transcript and I'm going to say suggest a relevant SEO keyword for the article below should be short relevant plus SEO optimized. Okay, let's test that. and it's giving us the output, but you can see and I think it's good for you to see this. So, for example, like DeepSeek AI tutorial, but the problem with this is it's giving us multiple and it's giving us a lot of fluff around it, whereas we just want the title. And I'll show you why in a second cuz basically what we're going to do is plug this into WordPress. So, I'm going to say don't give me anything else but the keyword. And it should be one single keyword idea. All right, pick the best one. Now, we're going to test it out. And the good thing about this is you can test the steps. You can see what you think. You can trial each stage of the progress before you get what you want. Okay? So, for example, it's come back to us with DeepSeek AI automation workflow. Perfect. We just don't want any quote marks. Let's test it out again. And the better you get your prompts, the less you need to edit the content and the outputs later, right? So, the more time you spend on the prompts now, the less time you have to waste later getting best outputs. So you can see here, for example, we've gone from a massive paragraph to five different keyword
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ideas to one single keyword idea, but it had a hyphen and quote marks to like a title and a keyword that's ready to go. Boom. Right now, if we zoom out of this workflow, we're going to go back into WordPress and what we're going to do over here is we're going to take the keyword output and we're going to plug that into the title. Right? We'll delete the previous title, which was example one. We don't need that. And also inside here, we're going to add a field called slug. Inside this log, we'll grab the output and that's going to be the URL of our rascal. So using that keyword stage, we've now got a title and a URL for our article. So for example, like juliangoldi. com/deseekai automation. Now, I saw a YouTube comment the other day that was asking, should you ask it to come up with an SEO title and a metad description and all that? I don't bother with all that, right? I want to make this as optimized and as fast as possible. Bear in mind like 50% of the time Google when it comes to SEO is just going to come up with a rewritten meta description based on the content. So most of the time you don't need to specify a meta description. Most of the time as long as the keyword is relevant you're good to go. We've got that automation looking really good. Now you might ask as well like why would you have two different sections for the transcript? Right? If you're writing one SQL article the problem with that is if you just have one section it's just going to write 400 words 500 words. the article is not going to be long or as in depth as is required for a good article. So, it's better to have two different steps. Get the article and the research and the depth you need. Get the keyword so that you can filter that to WordPress. And the cool thing about this is it's all set up and ready to go now. So, every time I create a video, I can create a nice transcript that's just ready to go over and over again. Every time I return to this workflow, it saves me so much time and we're absolutely flying. So, now let's test this all out together. I'm just going to make sure I save this. Always save your progress on 10. Otherwise, when you back out the workflow, it's not going to be there for you anymore. Then, if you want to change the name of your workflow, like for example, video transcript creator, you just basically do that. Now, if we go back to the chat and you want to delete the history, you can reset the history li. And then we can just plug in a video transcript. It's creating part one. Now, it's generating part two. Seems to be going pretty smoothly so far. Now, we've got the keyword generating and that's gone to WordPress. Wow. Now you might be saying as well, okay, but why not just use like one of those SEO tools that you can build AI with or why not just use chat GPT? But the thing is the whole point of this is it's an automation, right? So you literally just paste a transcript and it customizes everything to you, your business, plugs it into WordPress, saves you a lot of time, inserts your internal links, writes it in HTML, writes it exactly how you want it using the API that you want to use, and gives you so much freedom over the process, so much control, and the best possible outputs you can get. All right. So, if we go to the article, we've got the title right there with the keyword, which is and it's chosen DeepSk AI agent techniques. Automation has finished running through like you can see. Perfect. Now, if you refresh the post section on WordPress, we can click on preview on the latest article and it's picked the title. So, the keyword tools agent has then plugged in the title right there. So, we've got the SEO optimized keyword title. Additionally, that's going to be the slug of the article as well when we publish it. Then we've got a nicely written article that said, "Want to build killer content fast? Ever wondered how to automate your content creation using AI. " Then you've come to the right place. I'm going to show you how to build oneclick deepseek AI agents using a workflow that can seriously streamline your content process. And then you can see it says, "Watch the video tutorial below. " And you just insert the URL that you want to embed. Everything is nicely set up as well. As you can see, it's all nicely formatted. And additionally, it's linked out to our funnels, right? So, for example, this is all customized to us. our brand. It's given us some, it's inserted some nice techniques, how to maximize efficiency, AI tools, and then also a CTA at the end, plus some FAQs again. And that was super simple and easy to do. Now, before you publish, of course, you want to always quality control anything that is client facing in your business. So, I've got a checklist that I'll include inside the AI profit boardroom along with the workflow from today. But that's basically how you can build like DeepSeek AI agents. So, you can customize it to whatever you want. So today, for example, I wanted to create an AI agent that could take my video transcripts into SEO optimized articles. But basically any repetitive process that you're using day in day out, you can now automate using DeepSeek and it's very linear. Plus, it's just like drag and drop. You there's no coding involved here. It's absolutely amazing. The other thing I tend to find is it's a lot simpler and breaks less than Zapia. Zappia constantly gives you errors and make. com is a lot more complicated setup. a lot more things can go wrong. Whereas NA turn once you get your head around it, it's just absolutely amazing. This is really powerful. Now some other cool stuff as well you can do. If we go back to the chat trigger over here, we can actually click on make chat publicly available. If we select that URL is now ready for us to just start using as a chatbot plugged into our NAN automation
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right? And then you can change the initial message here. So for example, you could say hi there. What's the video transcript you want to use? You can have an authentication as well. So if you want to password protect that, you can. Then if we save that, click on the URL. You can see inside the chat here is hi there. And then you just plug in the video transcript that you want to create content from. As an example of that, we've just pasted in this video transcript. It's running the automation like so. We'll just wait for that to roll out. And then once that automation is finished, it will plug it into WordPress. Pretty simple and easy to use. So I'm just going to unselect. And then if you don't want it to be available anymore, just deselect make chat publicly available. Yeah, that's basically it. Now what you could even do is you could have another branch off here. And you could say, okay, Twitter, create a tweet. And then based on the video transcript that you created a blog around, you could also, for example, like create LinkedIn content or Twitter content or whatever platform you prefer to post on. So there's loads and loads of potential to this. So much power. But something like that would normally take me like 5 to 10 minutes going back and forth with Claude. So for example, like normally I'm using this project inside Claude for creating blogs around my YouTube videos. I can now easily automate inside NA10 and the outputs are going to be 10 times better. So crazy stuff. So what I'm actually going to do is I'm going to download the JSON file. And if you want access to that, we'll plug that inside the classroom inside the SAPs. And then we'll add a new section called Deep Seek AI agents. And we could just upload a file here. We'll call that video transcript creator. And then if you want access to that and my SEO checklist for quality control in your content, you can get that directly inside the AI profit boardroom along with an AI crash course, recommended watches, all my best recipes and weekly calls directly with me, plus a community that you can post in for help anytime. So feel free to join that link in the comments description. And if you want to get a free onetoone SEO strategy session, feel free to. We'll show you how we take websites from zero to 145,000 visitors per month and generate hundreds of thousands of dollars in sales on autopilot. On this free link building acceleration session, you'll get a free SEO domination plan. Discover the secrets to SEO link building. We'll answer any questions you have onetoone. You learn the best link building strategy for your website, plus how to call our ranking competitors to link building and how to turn your traffic based on what's working for us and our happy clients like you see right here. Feel free to get that link in the comments description. Appreciate you watching. These new Google Gemini 2. 0 computer use Asians are absolutely insane. And these can basically go off, use your laptop, surf the internet, do whatever task you want to do, automated in one click. I'll show you exactly how. So, what you can see here is we've got the Len configuration as the new model of Gemini. So, you can select which model of Gemini we want. And obviously, the latest 2. 0 update just came out within the last few days. And if we go over to run agent, we say, okay, go to com and tell me where I can buy sleeves for my t-shirt. All right. And then we'll hit run agent. What this is going to go off and do like you can see over here if we open this up is it's now going to start going off using Google automating whatever task we give it. Literally just took one click right so you can see I'm not holding doing anything. I'm not typing anything and you can see how it's analyzing the page because it highlights the different visual elements and then this okay let's figure out where we can get this man sleeves for his t-shirt. All right. And you can even read for example Google maps. And if we go over to the results section over here, not only do we have the latest recording from what we just did with the agent, right? So you can see that's a 31 second recorded, but also what you can see here is actually giving us the details of where we can buy sleeves for our t-shirt. All right. Absolutely amazing what you can do with 2025. This didn't cost us a penny. There's also some really cool new features, for example, like deep research and you can also configure many different LMS, right? So you don't have to use Google if you don't want to. I would say it's probably the easiest one and I'll show you exactly how to set up in a second and also you got a choice between OpenAI, Appropic, Deep Sea, Google or Llama as well, Mistral as well. Now, one of the best things about Google is not only that it's a very new model and not only it's completely free, but also it seems to work much better than something like Deepseek where typically if you use Deepseek as the API. So, if you select Deep Seek down there, the problem with that is it doesn't have vision, right? So, it's not going to be able to analyze a page. And also, if you're using Deep Sea R1 inside the chat right here, the problem with that is that if you're using the reason model, then it's going to take a lot longer for the responses because it's going to have to think in multiple steps before it takes any action. Whereas, if you did Genai 2. 0 Flash Experimental, the job is like, boom, let's go off and do our magic. And all you need to do is plug in the API key. Now, if you're wondering, okay, how do I get the ADI key? Then you just go to ai. studio. google. com and you can grab an API key completely for free here. You just click create an API key. That's it. Super works. And then you plug that in down here. You
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leave the endpoint blank and you get to the other. And then you just select whichever model you want. And also you might be wondering, okay, but how do you actually get the browser use web UI? So here's the actual page and this is the GitHub, right? So you can install this locally. That's another benefit to this is if it's stored locally, it's more private, etc. And also, you can use your own custom browser, right? So, it says you can use your own browser without tool, eliminating the need to log to sites or deal with other authentication challenges. This feature also supports high definitionition screen recording. You can also choose to keep the browser window open between AI tasks, so it doesn't automatically complete it. And you can see the history of AI interactions. And if you scroll down here, they've got the steps on how to set it up locally. Like you can see I'm running down here in the terminal. Right now, if you want to see the exact steps on how I set it up, I'll include that inside the AI profit boardroom link in the comments description. If you want to get access to that, we'll just go to classroom over here SPS and you get all the video notes from today directly in there. So if you want to follow the instructions step by step, we've got all the links and we've got the details on how to set it up in the map along with all these other modules including our crash course plus weekly coaching with me. So let's get straight back into this link in the comments description to that AI profit boardroom. What we can also do over here is we can select deep research and we can actually create a deep research report. Now you might be wondering okay what does that even mean? So, inside chat GPT, for example, they have this deep research option, right? You click that and it will take about 10 minutes to generate a very deep research report that's absolutely amazing, but it's going to cost you $2,400 per year because it's $200 per month for the chat GPT pro plan, which is where you get access to deep research. Really good feature, but expensive and unaffordable for a lot of people, right? And so if you go to the deep research section in here, you can actually use this for free and create a deep research report using the API and you plug into browser use web UI. Right? So you can see now it's beginning to do the research. It's searching the web. Right? This is the other thing is it's connecting Google's Gemini 2. 0 which is not normally connected to the web and then it's going and it's doing all the research like you can see and it's just browsing the web whilst we don't do anything. And the other cool thing about this is if you have it open in a different window like you can see right here. So this is running on Chromium which is a totally separate browser to our main Chrome. So it's like a virtual environment. Then it's going to go off. It's going to do the research. You can do whatever work you want to do on your own separate tabs. And then you come back 10 20 minutes boom shakalaka you've got the deep research ready to go. Now if you want to see okay what's going on and then you can see here it's processing the data in the background. Once this is done, obviously it's going to take anywhere between 10 to 30 minutes to get that back to us and then we can download the research report once it's done. Also, you can see now if we go back here, it's already doing the research. It's accessing different papers around the web. And this is all whilst I'm recording a video talking to you. All right, it's just in the background doing its magic, searching the web. And again, this is completely free. Plus, when I set this up this morning, between setting up web UI and inserting the API for Google AI Studio, it literally took me like 5 minutes, right? It's so quick and fast to use these, especially once you get a bit of experience setting this all up. Now, inside the run agent section as well, you can also add some additional information. So, like some hints on to help the LM complete tasks. So, for example, potentially you could give it like some login details if you feel comfortable with that. And then it can go off and start logging into different places and doing its magic. Obviously, if you scared about privacy, you wouldn't do that. And then also you can click here and select use your own browser, right? So this is how you can configure the browser settings inside user web UI to just go off and start using your own browser so that you don't need to log in for then because we're using a vision module aka because the API from Google Gemini can actually see your screen and interact with it and understand what's going on. Then you can select use vision here which you can't get with many other models. There's not many models that use vision as multi to be able to operate the internet. And also here you can change the actions per step. So you can say okay I want you to take 10 actions per step maximum. So that for example if you're using something like open AI then you don't get rinsed on the credits. And also if you're using the free API then you can add more actions if you want to go more in depth without it getting stuck. You can also change the temperature and the amount of randomness in the model outputs. And you can even load like a previous config file, right? So if you've got like a configuration that you really like, every time you set this up locally, let's say I close the terminal and then have to set this up again, then I can load the previous config file and we're good to go. Now, I did stock the deep research early just because I'm recording the video. I don't want to be waiting 20 to 30 minutes to complete the video before we get back to it. But here's what we got back from the deep research agent. So, it's actually formatted it really nicely. It's created a nice report. Bear in mind, I only let it run for 120 seconds and it already did all of this. If we go to the word
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counter, it's already come back with 700 words research connected to the internet. And that is very useful. That's an actual use case. I know a lot of people say with agents, they don't have a use case or that sort of thing, but actually this does. This is research is something particularly if you're a content creator or a business owner, you're going to be doing that every single week or every single month. So, super powerful to do. Very useful to have it there. So, what we're testing out now, as I said, go to llamacoder. to together. ai and build out a to-do list app. And you can see it's already typing out using Quinn 2. 5 coder. It's just running in the background, building out an app for us. I can't even code, but I'm getting AI agent to do it for us. It's doing this all locally. It's not costing us a penny. Now if you see it's struggling like that for example what we can say inside the context we can say wait 15 seconds for the coder to build out the app plus be patient man don't you can't rush greatness all right then hit run agent like now at this point you're probably going okay that's great can code for you can build apps for you but it's using chromium which is not logged in with your current sessions you can't interact with your actual environment maybe some people watching this are feeling a little bit crazy and want to test something out. So, what you can actually do is you can set up the EMV file inside the I've got details on how to do that inside the AI profit border. And if you select use your own browser, run your Chrome in debug mode and set up the ENV file correctly, then what you can actually do is just get the agent to run directly in your Chrome browser, which is absolutely wild stuff. Let me show you an example of this. Right? So if we say now inside run agent go to we'll say go to a studio. google. com/new chat start chatting with the AI and we've got the LM configuration as Google gem 2 flash experimental. We're going to run the agent inside this current browser session so that the AI is speaking to the other AI and we just get really meta here. So if we run the agent like that's going to open up a new tab. Now you can see it's navigated to the correct window and it's analyzing the screen as hello AI, right? And by the way, this is really weird now because you got an AI speaking to an AI and they're just having a cheeky chat back and forth, aren't they? So stop and it's messing around. It seems to be messing around with the temperature. It's having a little conversation, a little bit of small talk and it's what can you do? And so now the AIS are both going back and forth with each other and it's can you generate images? All right. So, you can see how the AI can interact with another AI and then what you've got is an army, like a swarm of AI agents all working together to get whatever workflows you want to get done, right? So, this is really a previous limitation of AI that you couldn't get it to generate blobs for you without you being there to supervise it. But with this method, you could go off, you could create a cup of tea, and who knows what they're talking about in the background. Now, I don't recommend it. This is probably not a safe way to use AI, particularly if you've got all your login we details stored inside the browser, but I will take that risk on for you just to show you how crazy this can be. And then one day maybe I'll get sleeves on my t-shirt. All right, I'm going to stop that browser session for now, but you get the idea. If we go over to results now, you can see that it's given us the final results and what happened, how it worked, etc. And that was just with a super basic prompt. If I said go to a studio. google. com, google. com and then create the best possible SEO article you can about AI SEO with Gemini 2. 0 and we'll say not make sure it's beautifully formatted, conversational, add some tonality plus add some emojis/ subheadings. So we'll run the agent and now we can basically automate anything inside our existing browser for this agent to just go off and do stuff. For example, if you actually said, "Okay, go over to Amazon and order something for me. " Like, I'm pretty sure it could do it for you if you already logged into Amazon directly on there. Or for example, let's say you wanted it to watch a YouTube video and then tell you exactly, okay, what happened on there, what was going on, etc., then it could probably do that, too. At this point, because it's logged into your browser, because it's completely free, it's super fast, it can use AI directly, etc. you can really do some interesting stuff like and I think this is the way things are going. Give it a few months Google chat GBT etc. They're all going to release their own versions of this. So you can see here for example like the AI is saying write an article about SEO it's going to hit run on that. I didn't type that in. The AI agent did that directly. We've got the blog written and drafted like you can see and that was super simple and easy to do. Right. The other thing to note here is if you switch back to your tab let's test something else out now. So I'm going to say go to YouTube and analyze Mabet's channel Julian Goldie and give me a really in-depth analysis of his channel. We'll run the agent. So it's going off to YouTube now. And here's the other
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thing, right? If we actually go to a new tab. So I'm inside the web UI tab now, but you can see it's still running in the background, right? So it's still processing information inside that extra tab that you've got. And if we switch back to it, it's searching Julian Gold SEO. It's going off. It's doing its own thing. It's wild stuff. You can see it's now browsing YouTube. It's seeing what's happening, etc. It's analyzing my channel. And this is the worst it's ever going to be, let's be honest. You can actually manually intervene as well. So, you can see it's scrolling through the page. It's doing its own magic, but you can manually intervene and click off or stop it if you need to. But basically, you can see how it's analyzing the page. And it can scroll up and down the page. It can analyze. It can look at the images with its vision mode. It can scroll through, see everything that's happening here, and understand what's going on. So, thanks so much for watching. That was basically how to use Google and it's free API was just recently released inside the browser. Use web UI and then you can get these agents to control your browser, go off and do tasks, automate basically any sort of basic admin tasks that you want. You can do research, deep research. Even just that feature alone is saving you $200 per month. And you can see how it's connected to the internet and how these AI agents work, plus how to set them up using web UI. up. If you want all the instructions on how to set up the terminal commands, how to get this running in your own browser and also all of my best videos and tutorials and SPS on it and how to use AI automation to make more money online and grow your business, feel free to get that link in the comments description. And if you want to get a free onetoone SEO strategy session that shows you how we tear websites from zero to 145,000 with this smoke and generate hundreds of thousands of dollars in sales on autopilot, feel free to book that in on this free link building acceleration session. You'll get a free SEO domination plan discover the secrets SEO link building or answer any questions you have. You'll learn the best link building strategy for your website plus how to quickly outrank your competitors to link building and how to 10 SEO and traffic based on what's working for us and our happy clients like you can see right here. Feel free to get that link in the comments description. Appreciate you watching. The new GitHub copilot agent mode is absolutely insane and it is free to get access to. I'm not paying for this plan. And you can see here we've got access to GitHub copilot chat. Now I'm going to show you exactly what you can build with it, how you can use it. They've got two different modes. They've just updated it to agent mode as well. And if we select between edit mode, we actually get free access to GPTO3 mini preview along with claw 3. 5 sonet and Gemini 2. 0 Flash. And they are free and available to use. So I'm going to show you exactly how you can get this set up. The first thing you want to do is make sure that you download Visual Studio Code Insiders. That is completely free. You can download it on their website. I'll include the links inside the SP as well today. And then once you've done that, you want to make sure that you go down to extensions. Once you've installed this and then make sure that you have GitHub copilot installed like you can see right here. Additionally, we can also install client and this can help you build apps, tools, websites, etc. If we install the extension client, which is also free. So, we're going to click trust publisher and install. Then we go into the settings down here, we can select visual code LM API. And then we can actually get free access to code inside client 3. 3 using 03 mini claw 3. 5 sonnet. And you are not paying for these, right? Pretty crazy stuff. So let me show you exactly how you can build apps, websites, tools with this process. So the first way that we're going to do this is we're going to get a prompt from my custom GPT. If you want free access to this, it will be inside the SAP in the video notes from today. And I'm going to say for example, create an AI automation consultancy landing page selling me what I do etc. This will be used within Hub Copilot. And then we'll just get the prompt from this. This is one of the best ways you can generate prompts for creating websites and everything else because you're leveraging the power of the AI to come up with the most relevant prompt for you so that you can easily and quickly build this out. You could also include information about you, who you are, etc. And if we go back to co-pilot now, inside Visual Studio Code, it's important to note that you do need insiders for this. You need Visual Studio Code Insiders for this. And then we're going to start using Asian mode over here. We'll plug the prompt in. Also here as well, just to note, you've got the chat version, you got copilot edits, right? Two different modes right there. Something else to know is that with the free plan, you get 2,000 completions plus 50 chat requests. If you're using the paid plan, you get a lot more, but for most people, they won't even go over those sort of limits. Then what we've done is we've taken the code from Copilot, as you can see, plugged that into the edit mode. It's created the HTML over here, and we've got that good to go. And now, if we switch to agent mode, which you can do down here, so you can select between edit and agent, say now run this. Just make sure when you're doing this, if you're creating a new file from scratch, you would make sure you save the file. This is how easy it is. So, for example
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we've said create a website that looks like eBay using the agentic mode and it's setting up the CSS and HTML structure. And if you want to open up a new folder and let's say you just want to store your files all in one place, you can click on open, set up a new folder, and then if you want to toggle the co-pilot on and off, just click on open chat over here and that'll start generating stuff for you. Now, you'll see two different icons right here. Okay, so let me zoom in for you so it's a bit more obvious. But you've got the chat and you've got the co-piloter edits. So copilot edits is where you're going to find the agent and you switch between edit mode and agent mode, right? So if we go to agent mode and then we'll say something like, okay, create a website that looks like eBay. It's just going to start setting that project up for us. Now, what you can see is it's creating the files for the project at the top. And if you need to switch between the files, like all you do is you click on the top left over here where it says explorer and this is where you can see your project files. It can be a little bit confusing, but that's basically how you use this. And then if you click on accept all the changes, we can click done. And then if we click run this, it will open it up in your browser like you can see right here. If we say okay, create a beautiful SEO landing page. I'll plug in some information about me, who I am, etc. And then it will start going off and coding this. The good thing about agent mode is that it can self iterate, right? So, it can see the errors. It can see any problems in the project and then go off and fix them. So, you see here how it says apply and edits and it gives us a percentage. It can basically like scan through all your code and be like, okay, we're going to edit this, edit that, etc. Here's what we need to improve. Here's how we can change the existing code that we've got. And also, the cool thing about this is because it can make edits itself. It can just go off code the project. you can go do something else and then in the background this is running and coding and editing again I'm not clicking anything or typing anything but we can build all sorts of apps and that sort of thing and again I have not paid a single penny for any of this 3. 5 Sonic is normally a paid API but it's free with Visual Studio Code within the limits and it's now coding out the style CSS the other benefit of this say versus something like bold new is that it's hosted locally so you've got the project folder with all the files and then you can come back to it later it's now finished running that project and it's going to offer to run this in the terminal. So, we open it up and there's our website ready to go. Pretty nice actually to be fair. I think it's got links to all our social media accounts. Nice and clean. Full landing page ready to go. See, even inserted some icons and that sort of thing. And then you can build out the rest of the pages later. So, if you wanted to build out the rest of the website, you just be like, "Okay, now create the about me page. " And the agent can just go off and do that. Now, whilst that's running in the background, we can also run a new window. So if you rightclick the icon and then open up a new window, you can open up another project and then code like multiple pages, multiple websites, etc. all at the same time because this is running on autopilot as an agent in the background. So for example, if we open up a new folder and then we go over to edit mode, we'll select GPT3 mini. Just test it out. See what that's like. Obviously that only came out what about less than two weeks ago. It's the newest API from open. normally paid. We get it for free inside GitHub Copilot. And that's just going to go off and do its magic. Now, we've got the about me page on the other website ready to go. So, let's click and open this. And there we go. We have the about me page built out on the website. So, we've got the homepage ready to go. And then we've also got the about me page built out as well. And it wrote all of this content just by itself. The other thing as well, like you can attach images to the project later and insert those in. But yeah, it's pretty nicely formatted as well. include some information about us, our achievements, information about me, etc. We're good to go on that. We can also take the files from the project and then just run it through LiveWave, especially if it's a simple one like HTML, uh, CSS and JavaScript. So, if we go back to the project, we've taken the HTML already. Now, we're going to take the style CSS, go back to liveweave. com, plug that in down here, and then grab the JavaScript as well for the game. And now we have our game built out. Collect the backlinks game. You can see the score is updating in the background with the website ready to go like you can see. And if we go back to that project down here, we can switch to claw 3. 5 sonnet for actually improving the front end. Right? So for example, GP03 mini, it will do a great job for coding the back end. But like you can see like the design is not that nice when you actually land on the page. So even though it's functional, it doesn't look that nice. So the way that you can improve that is if we go back here and we say okay, improve the design of the website. make it more beautiful, modern, sleek, and interesting. It's now going to start editing the page like you see. So, it's generating the edits, going through the page, figuring out what to improve, and we don't have to do anything, right? It's really bridge a gap between someone who can't code but has an idea and just getting that implemented really quickly within the space of 15 minutes of testing this out and using it. It's really quick and easy to figure out, okay, here's how you use it, here's how it works, etc. And also you can see it's generating the edits for the style CSS and index HTML at the
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same time and improving the JS. So it seems to be able to edit like multiple pages at the same time which is pretty cool. Now we could take that go back to LiveWave. We'll grab the JavaScript again. Plug that in here and already it's looking a lot nicer, right? So if you saw what we previously had versus now, it looks a lot nicer. Even the design of the game looks a lot nicer. So Claw 3. 5 Sonic is probably your best bet for the front end. And for the back end, GPT03 Mini does the job. So, if we go back to this page now, we've got the game ready to go. I think the goal is collect the green ones, avoid the red ones, game over if you hit the red ones. That's it. That's how to build a game and a website at the same time for free using Copilot and AI in one single prompt. Pretty crazy stuff. And the way that we generated this idea right here was again using this prompt forge AI method which is a custom GPT I built specifically for prompting bolt new co-pilot client etc to get really good outputs. If you want access to that it's inside the AI profit boardroom along with our crash course on how to make money and save time with AI. And if you go to the SAP section over here you will find the link to the GPT. Now, if you want to get access for free directly to World 3. 5 Sonet and to code big projects out with that, what you can actually do is if you go to client, so make sure you've got client 3. 3 installed inside the extensions marketplace. So, you go to extensions, client, install that. Once you've done that, go down to client here and then inside your settings. So click the cog in the top right. Select VS Code LM API and then in this list you're going to find for example C-Pilot GBC 4 mini 40 03 mini crawl 3. 5 Sonet and Gemini 2. 0 flash. Now you can also insert instructions here. So you can insert custom instructions on how to use it. Let me show you some examples of what I've used previously. So inside here inside the custom instructions I've said you're a coder for Goldie agency information about us. Here's what we do. Here's the links to our funnels. Here's what to use etc. You can also include like your brand colors and also information about your social media links each project can actually include inside the design. So let's test for example inside client 3. 3 we said build out a to-do list. We're using Visual Studio Code and Core 3. 5 Sonet. We'll allow that. We'll close Copilot for now. And you can see it's based on this task to build a to-do list app in the current environment. And it's using the custom instructions that we gave it before. Now it's building out the file as you can see. So, it's creating the index. html. And the good thing about client as well is that you can set it on auto approve. So, you don't need to keep clicking approve or anything like that. It's just going to approve and build everything out for you. And then you've got the files stored locally. So, for example, it switched from building out the index html to the style CSS. And then eventually it will add a JavaScript for the functionality of the actual app. Now, it's ready to go. So, if we hit run command, that's going to open up the project. Now, we've got the project ready to go. So, it's created the whole landing page, etc., and it's given us some example tasks already. Let's test if this works. So, we'll say test client 3. 3. Add the task. And you can see it's added perfectly. Plus, we've got a link to our free SEO strategy session on the page. And I think one of the best ways to use this is like you find recommended tools, games, apps, etc. that people are searching for inside your niche. And then you can easily create these mini landing pages or mini websites, host them, rank them. Quite easy to do. So as an example of this, it's a great lead generation method. So if we put for example SEO game, you can see here people searching out on Google as an SEO agency, we could easily create this, build it out with co-pilot or client 3. 3. Get it hosted and boom, we've got a new lead generation method. Same for example, if we put calculator, there's so many terms you can rank for around that. And obviously whatever industry you're in, you would change this, right? So if you're in the finance niche, you can put finance calculator. Or if you're in the health niche, you can put health calculator or health game. That's actually pretty easy to rank for, decent traffic potential. And there's a bunch of other keyword ideas down here. It's so easy to build out these apps, tools, websites, games, etc. using a combination of plan 3. 3 or GitHub copilot. And by the way, if you're wondering, okay, like how do you get this hosted? For example, if we open this up, if we reveal that in Finder, we've got the project files right here. Now, if we go to Netlify, and this is a service someone could sell easily as building out landing pages or apps or tools for a client, you can just go to add a new site, import from an existing project, netify drop, grab that folder from before, drag it in there, and then you can just easily deploy your files like you can see, and that literally took a minute or two. If we open that up, we've now got this hosted on a subdomain. We can share this with people. For example, if we open this up in a new incognito tab, we've now got a subdomain hosted with our to-do list or our game or our tool and we built it all out for free. Even hosting it on the subdomain on Netifi is completely free. And just to be clear here, you're not paying for client, cohabil or I haven't paid for it and
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you've seen how much I've used it today. You're not paying for Visual Studio Code Insider. You're not paying to host it on a subdomain. Like all of this is free. It's pretty wild stuff. Plus, you've got it hosted locally, so you can come back to the project whenever you want. And if you've never coded before, you could get this to work within a day. You can figure this stuff out. So, thanks so much for watching. What I'm actually going to do is I'm going to plug in all the SAPs, all the links, and all the prompts from today directly inside the AI profit boardroom. If you go inside the classroom, you get a ton of courses here, but we're actually going to plug this inside the SAP section along with all my latest video SAPs. If we add a new page here called Hub C-Pilot agent mode, you can find a link to our custom GPT for programming these pretty easily. If you want the custom instructions for client, I've added that inside here as well. So, you can just personalize those and copy and paste them in. If you want the example prompt from the game, I've also plugged that in along with a link to an example site that we built just now, as you can see. And if you want the step-by-step instructions on exactly how you or your team or your virtual assistant can set all of this up for you, you could sell this as a service. You could do it for yourself. You could scale lots of tools out internally to save your team time. Then I've plugged in the SAP directly into the video notes from today. That's inside the AI profit boardroom. Link in the comments description. And if you want to get a free one-to-one SEO strategy session that shows you how we take websites from zero to 145,000 visits this month, feel free to book that in link in the comments in description. On this free link building acceleration session, you'll get a free SEO domination plan. So you'll get a custom tailored link building plan so you can generate more leads, sales, and profits to your website. You'll discover the secrets to SEO link building where I answer any questions you have onetoone. You'll learn the best link building strategy for your website plus how to quickly out rank your competitors to link building and how to turn SEO traffic based on what's working for us. Feel free to get that link in the comments description. Appreciate you watching. Deepc computer use agents are absolutely insane and they're completely free. So what you can actually do is you can install browser use web UI and this is running locally on our terminal like you can see right here. And basically this is a free AI agent that you can install using deepseek to basically run your browser and run commands. So for example, if we go into LM configuration over here, you will see that we have Alama. And then inside Alama, they've just got a new o of day where you can actually have a llama with Deepseek R114B or DeepSeek R132B running in the background and then from here you can just run the Asian and just ask it to go off and do whatever you want. So as an example of this, we can even use our own browser. And if you're wondering, okay, how do you set up Deep Seek and O Lama? This is pretty simple to do. All you're going to do is you're going to download O Lama. This is completely free and it's like a one-click install. Then once you've done that, you're going to go to Deep Seek one. Then you're going to select B from the drop-own list. Copy that code. Go over to terminal, start a new window. All right. So right click the icon, start a new window. Plug that in. Make sure you have Alama 2 running. So it will show up with the icon right there. Plug that in. And now you have Deepseek R14B running along with browser use web UI ready to go. Now that is a pretty powerful model. If you're struggling to run that locally, then you can always press control and D. That will close the terminal like you can see. So you can stop it running. And then what you can do instead if you prefer is you can actually go over to AI Studio in Google. Grab a new API key from Google, which is completely free as well. And then go over to LM configuration. You're going to select Google from the list and you can plug in your API key down here. All right. But whether you're using DeepSseek, you can also use DeepSseek and the API right here. But obviously you have to understand that's going to cost money. Whereas if you're running Olama locally with Deepseek and also supports Quen and Llama 2 and Deep Seek R1, then that's completely free. So this is a free way to get access to the browser agent. Now here's the other thing, right? Chat GPT operator, which is the Open AI release from browser agents. This which is OpenAI's equivalent basically to browser use web UI is only available to pro users and it costs $200 per month. But by watching this and understanding how you can use browser use web UI instead with Alama then you're saving yourself $200 per month. And not only that, Chat GBT and OpenAI also released deep research agents. But even if you're paying $200 per month, you're limited to three searches per day. So, if you want to use this feature, it's going to cost you $200 per month and then you can only have three searches per day. You are limited to 100 per month. Instead, what you can do is you can go over to browser use web UI and once you've configured your API, you can then go over to deep research and you can ask it to research whatever you want. And that's basically going to use the internet to do a lot of research on whatever you're trying to find information about. And it will even give you a research report. But either way, number one, you get to select the API you can run. Number two, it's completely local, so it's more private.
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Number three, you can run the agent in your browser and get it to do tasks. And number four, you can use deep research and download the research reports. So, let me show you exactly how this works step by step. So, if you just want to use the agent and let's say, for example, you just want to go to google. com and check the SNP 500 shares today. All right, we can run the agent. You can see it's processing over here. So, we've got the information processing. And now you can see inside our own browser. Look, I'm not typing anything out. You can get deepseek or you can get whatever API you want to use the internet. And this is all whilst it's logged in to your existing account. You shouldn't do this. You shouldn't have it. But I want to take that risk for you. And you can see here now it's interacting directly inside my Chrome. It's not like in a virtual environment, which you can run by default. I'll show you how to set that up in a second, but this is actually inside my main Chrome. Crazy stuff. All right. And then if you go to results, you'll see the information from the prompt that you just ran. Additionally, you can also go to recordings and you can watch back your recordings. By the way, if you want to know exactly how to set this up step by step, I've got it inside the AI property boardroom link in the comments description. If you go to the SAP section, then scroll down to the computer use agent section, you can get all the instructions and the terminal commands I use to not just set it up also to set it up inside Chrome because you have to give it a special command for doing that. And if you don't want to use your own browser because obviously it is a little bit dangerous is you are letting an AI control your whole browser then you would deselect that. So let me show you an example. So, if we go back to run agent now, and we'll say, okay, go to Twitter and create an interesting tweet about SEO, then post it. Let's see if it can actually do that. I imagine it's probably going to get stuck before it can post, but it might just draft it. So, let's see what happens next. It's going over to Twitter, so it's navigating there. It's figuring out what's popping, what's going on. is you can see how it's selecting the whole screen and using it mode to really understand what's happening on screen. Now it's actually writing. This is crazy. This is crazy stuff. And now it is analyzing the page. Is it going to post it? Now you can see if we go back to the model fors, it didn't post it. I think it's going to have limits on what it can do depending on which API you use. I'm pretty sure if you use something like Deepseek, it's probably just going to post it straight out. But you can see here you've got the model thoughts. So it's told you exactly what it's doing, how it's doing it, what it wrote, etc. It was incredibly fast at typing. Actually, that was unbelievable. Now, if you want to stop at any time, you can just click stop. And that will stop the AI agent. Let's test something else out now. So, I'm going to say go to Amazon and find me the link building mastery book by Julian Goldie. Let's see if it does it. So, we'll run the agent now. You can see it's running there. So, you're going to see if you know, you're going to know if it's working or not just by the bottom. And also this can just work in the background, right? So whilst you're running this, you can just carry on doing whatever you want to do. So it's going to run in a new tab, separate tab like you can see, and it's going to figure out, okay, here's what we're doing. Here's how we're doing it. Right? You can see it's searching for the book. It's analyzing which book to click. And then you can see in the final results. So go to the results tab. It says the book Link Building Mastery: How to Rank Higher, Grow Your SEO Traffic, and Build authority with Backlinks by Julian Goldie is found. Right. So, it read the whole title from the book, found it, boom, ready to go. So, it actually has a use case now because it can go off. It can draft messages for you on Twitter. It could probably go on to WordPress for you if you wanted to and start drafting a post. And it can also do deep research. So, for example, if we say, okay, research how AI is impacting the SEO industry and websites in general. We're going to run the deep research report. Like so. You can now see it's running and it's just going to open up a new tab and start doing the research for us. So, honestly, I think it's getting to the point now where it can do a lot for you, right? It can open multiple tabs. It can control your browser with all your login in there. It can write tweets for you and draft them so you just have to hit post. It can search for stuff on Amazon. It can build like full research reports like you can see. And it can do this all in the background whilst you do something else. As you can see, this is still researching, still looking things up in the background whilst we get other stuff done. Now, another AI browser I want to show you this quickly because a lot of people are actually saying this is better than the chat GPT operator as well, which is convergence dot and basically you can get AI to complete your tasks here. Now, this is basically like a fully automated AI assistant. So, for example, let's say we want to summarize the top news stories today. We can just go to daily news for me and it already has these workflows built out. So for example, it's like you will produce a daily update for the topics of
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technology and economics. Now you can see it's searching the web. So it's actually gone on to guardian. Says navigate to the technology section, visit guardian, pick a new story, click on the story and read it fully. And this is basically like another virtual environment. So it's a bit safer than running browsery web UI inside your own Chrome login. Much safer to have it in a virtual environment. The only thing that I would say with this is it seems to be a lot slower than using some of the other APIs we were looking at before. So whether that's because there's so much demand or something like that, you can see here it's still stuck on stage one. You can see here is gradually working through it. But I think if you gave browser use web UI the same prompt, it would get better results. Let's test this out. Actually, we're going to say the same thing now. So these are the results from convergence and this is browser use web UI actually just doing the same thing but live inside our browser. Now convergence has come back to us and it's given us like a technology of news summary as you can see as well as a business news summary. So that is quite useful. I think you could use chat GPT40 for the same thing. I don't think you actually need a browser for that. And you can see the browser use web UI is just doing its magic but it's already been 2 minutes. We're going to stop it there and see how it went. Yeah, I would say convergence AI actually got a better report. I think because of all the pop-ups, convergence AI actually did a better result than the computer use agent inside browser use web UI. When you're doing this as well, just a little tip here is like if you're going to run the deep research report, don't run it in the same browser. Use a separate browser cuz it's going to open up many tabs. Seems to be quite buggy if you use it in your own browser. So for running the agent, that's great for using it in Chrome. And by the way, all the SAP, all the instructions, all the commands that I used to set up are inside the AI profit boardroom. But if you're going to do deep research reports, just make sure you don't have that selected. So if we go back to browser use web UI now and we check out the deep research report on AI and SEO, we can check the report. We'll see how long this was. So this is a 588word article on how SEO is changing the AI landscape. And you can see and it's actually it's nicely formatted. It's nicely written, etc. Talks about how to future proof your strategy. It's not bad at all. It's nowhere near as long as deep research reports from chat GBT. But I think 99% of people are not going to read a 10,000word report. Like have you ever seen the reports from Chat GBT? Unless you are trying to create a dissertation, you probably don't need that much research or you're going to ask Chat GBT to reduce it anyway and condense it anyway. So, thanks so much for watching. That is exactly how to set this up. The other thing I was going to say is you do get agent settings. So, you can choose between, for example, how many run steps to the maximum number of run steps in each action, actions per step, and whether you want to use vision or not when you're running the agent. Additionally, this seems to be getting updated all the time, so I can imagine it's only going to get better. It's already better than most browser agents I've seen out there. So, pretty powerful stuff. If you want to get access to the SAP and how to set this up for yourself, feel free to get that. It's inside the AI profit boardroom link in the comments description, just go to the SAP section and then computer use and you'll see all the terminal commands. Additionally, this comes with a crash course to save you hundreds of hours, plus weekly coaching calls and Q& A calls with me. Additionally, all the Q& As are recorded and you can ask inside the community if you have any questions. You can see it's absolutely popping off. We've got 78 people in there already. And if you want to get a free onetoone SEO strategy session, feel free to get that link in the comments description. We'll show you how we take websites from zero to 145,000 bids this month and generate hundreds of thousands of dollars in sales on autopilot on this free link building acceleration session. You will get a free SEO domination plan so you'll get a custom tailored link building plan so you can generate more lead sales and profits. You'll discover the secrets SEO link building any questions you have. You'll learn the best link building strategy for your website, plus how to quickly rank your competitors to link building and how to 10x SEO traffic based on what's working for us and a happy glance like you see right here. Feel free to get that link in the comments description. Appreciate you watching. Perplexi have just released deep research. Now, this is like an alternative to OpenAI's deep research except here's the biggest difference. Normally you would pay $200 for deep research capabilities inside chat GPT pro but now you get access to it for free inside perplexity. So you get up to five queries per day for nonsubscribers and 500 pro users. Bear in mind chat GPT's deep research limit is 100 per month for operator. Whereas if you're on the free plan on perplexity you get five queries per day. You can see it in action right here. Here's an example of the benchmarks. So, if we pull this up, this is a comparison for QA of Plexi Deep Research versus OpenAI. And you can see a huge difference right there, which is pretty wild. We've got the deep research stats on Plexi scores. So, it scored 21. 1% on humanity's last exam. Outperforming Gemini, Thinking 03, Mini, 01, Deepc1, and other top models. We'll be testing out today. I'll show you
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exactly how to get access and how to use this step by step. But I'm super excited. The Blexi always come up with a good. So let's get straight into it. So if you want to get started with this, just open up a new thread and then you're going to select deep research from the dropown. So this is what you can use. And if we say for example, okay, tell me about how AI will impact SEO in 2025. We'll plug that in. And you can see it's now beginning to do the deep research. Now it says deep research often takes a few minutes to complete. I'll start by preparing a research plan. Now bear in mind if you're using chat GBT and the deep research function in there, it's usually going to take about 10 to 30 minutes per research report. So we'll put exactly the same prompt into chat GBT versus perplexity and compare the deep research functionalities here. But here what chat GBT often does, it will come back to you and say, can you clarify a few aspects? I'm just going to say give me all of them. And it will go off and start doing the research. But here you can see that it's actually going to take quite a long time to get that back. If we come on to Publexi, it seems to be a lot faster when we're getting the results. Now, if we click on starting research, there's no feedback from chat GBT. But if we go back to Publexi, it's already telling us, okay, we've looked at 25 sources. Here's what we're going to do step by step. It's like think it out as a reasoning model. It's giving us all the sources. And then once it's ready, it's going to tell us exactly what we need to do. So if we have a look at these steps is first of all I need to search the web for information on how AI is expected to impact SEO trends 2025 right from the most recent research I found a wealth of information suggesting that AI is significantly transforming SEO blah blah and it's just going off and do the magic now the answer has already come back to us and we've got a pretty detailed report here now it's still reeling off but that is pretty powerful stuff now for sure this has been triggered by the release from chat GPT on deep research But you can see you get very similar outputs except that Plexi seems to be a lot faster. So chat GPT is not even I would say it's probably about 20% of the way through this. So it's going to take quite a while to get that back whereas Publexi has already come back to us with the goods. You can also inside here ask to search images, videos, and generate an image as well. And it also gives you follow-up questions right here. Top of that you can share this with people. So you can share it with your team. If we open this up on a new incognito, we'll check what got back here. So if we open this up, we can X off that and we can actually share it with people like they don't need to log in or anything like that. And then we've got the sources. So you can see these numbers here. These are sources of the research that was used. So it's using for example like branding exploding topics article on the future of SEO and this was published in 2025. So it's not using like really old data from what I can see. Let's have a look at this one. Yeah, again this is a pretty recent blog that we can see from seooma. com and it summarized the key findings and then the evolution of everything. So, it seems to be a lot faster. And again, you can do this for free. You get five free queries per day for nonsubscribers. So, you don't need to sign up to the premium plan. You don't need to pay for this. And this is like a very valid alternative to using Chat GPT steam research, which costs $200 per month. Now, that's halfway through I would say at this point. It's already used 22 sources on Chat GPT. But again, like if you want speedy fast results, you don't want to wait 30 minutes and open up chat GPT and then close it and then wait ages, then this is probably the best alternative. Now, what I want to test as well is whether we can do multiple different research reports in different tabs. So, I'm going to say for example, research similar alternatives to profit boardroom community and we'll plug that in. So, let's see if we can upload images directly inside here. Yes, so you can upload images, which is pretty useful. Let's have a look if you can do that inside chat GPT deep research options. So if we select deep research yeah you can upload images inside chat GPT deep research too and then I'm going to say based on my community for the AI profit boardroom give me a breakdown of the market and my competitors plus what I need to think about in this industry to improve my offer. By the way if you want to join the AI profit boardroom link in the comments description. So, we've given that to Publexi to figure out now and it's researching the profit boardrooms market and competitors. So, that's pretty cool. And then if we go inside here, we're going to say, okay, do a research report on automation agencies. Here's some info about my agency services for AI automation, right? And then for this one, we're just going to get some information from our website. We'll copy that. We'll plug it into Plexity and see what we get back. Now, the thing I like as well is it doesn't ask us for more information. just goes off and does it. Whereas, for example, cheap makes it a little bit more complex because it gives you loads of questions, right, before you can even get the answer. And so, like, I think some people would just be like, I can't be bothered answering all these questions. I'm just going to go off and get the report, honestly. And then you've got the report already back from perplexity on the community ideas. And then also, it's doing the research on the AI automation. So you can open multiple tabs and then do multiple
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research reports at the same time which is great because then you don't have to wait for one report then do another and otherwise you're going to be wasting a lot of time. So let's have a look at some of the key ideas and stats from this report and just really analyze it in detail. So it's got key findings AI overviews dominate the SERs content quality over quantity that makes sense fragmented search behavior. These are pretty valid key findings. I would say this is the way AI is going. If you see my interview with Neil Patel, then you have seen this insight on fragmented search behavior and how we were talking about how in 2025 it's really like a search everywhere, not just search Google SEO strategy that you want to be implementing. And then also, this is a pretty good stat as well, automation efficiency. 86% of SEO professionals leverage AI tools to save 12. 5 hours weekly on tasks like keyword research, site orders. Pretty useful stuff right there. Then it's talked about the rise of AI first search engines for example like search GBT and Google search champ experience. Everything in here feels better than what you would get normally from a research report. Everything in here is quite to the point as well. These are very valid insights but it's not too wordy and it's not too long. If we take that whole report let's see what we got here. So we'll take that open up and it is in total 1,200 words. So it's not too long. Chat GPT is still coming back to us. Meanwhile, Publexi has already done two different research reports. So, it's done three research reports essentially in the time that Chat GPT is still doing one. And we'll compare the insights from chat. Let's have a look on the next one. So, it's given us a market overview and the global AI market is experiencing rapid growth with an expected annual growth rate of set 36%. Good time to be in the market by the way. Some ideas on different communities that we're competing with. I've never actually heard of any of these to be fair. Let's see where they're getting that from. These are more like AI tools. I wouldn't say they're direct competitors. So, I don't know how it's got that insight to be honest. So, indirect competitors, AI business tools and consulting services. Direct competitors. These are not direct competitors to be fair. Like for example, board mix that seems to be more like an AI tool, not a community. So, it's not really a competitor. Not very useful. Honestly, I would definitely say like the SEO report is much more useful than the AI community report that's come back to us. Then it's given us key considerations for improving your offer. And we've already incorporated a lot of this stuff on the page. So that's not very useful either. And then it's given us some actionable reports. And it said conduct a detailed competitor analysis using tools like board mix. Invest in developing or integrating code and edge AI features. Regularly engage members. Thank you, Captain Obvious. If you have a community, of course you're going to do that. Monitor industry trends. So here's what I'm thinking, right? And my opinion has changed dramatically from this report versus the first one on like industry insights. Super useful. Like this stuff, this is great, right? The second report that we got back for the community and how to improve the offer. All this stuff is super obvious and not very relevant, right? So I would say it's very generic. I would rate this report probably about a 2 out of 10. This report is probably coming in at a seven out of 10 and probably better than most humans can do. Let's check the last one. So now we've asked for details on like research report on AI automation agencies based on what we're doing. So let's see what it's come back here. We'll check the word count. First of all, 1,000 words. Honestly, like the word count is not that different from your typical perplexity report. The whole headline feels like very AI, if that makes sense. Like the transformative role of AI automation agencies. Pretty generic and feels like AI fluff. This is all fluff. This is pretty useful stuff to know. So, it's given us some ideas on what we could sell. Pricing models, that's super useful to be fair. It's given us some ideas on what we can charge, how much people are charging for like SAS tools in the same space, retainers, and also challenges and ethical considerations. So, I'm rating this one, I would say this is probably about a 6 out of 10, maybe a seven out of 10. The conclusion isn't bad. Yeah, I'm giving that a 6 out of 10. Let's have a look what Chat GPT came back to us with. Wow, we're still waiting for that. Could be waiting all day for that. This could be a long video just waiting around for chat GPT to generate the research reports. Let's see what else we can do here. So you can add it to a space. You can also convert it to a page. So when you convert this to a page, what that means is it's indexable and sharable to pretty much everyone on Plexi. So for example, if we type in on Google Publexi/ page, which is all where all the Plexi pages are stored, you can see there's 10 different pages of content, right? And this stuff actually ranks on Google. If we go on to Google now, if we actually check out Publex's rankings and how much traffic they get from their pages section, you can see they're getting like 122K traffic just from the pages category, including subfolders, which is pretty impressive to be fair. And also, this stuff indexes on Google. If we look over the last week, you can see stuff is indexing and ranking on Google within the last few days. So, that's pretty useful as well. It's a nice little feature. And also you can design this page once you've published it as a page
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and then insert sections, add media, edit different bits, insert more content at the bottom etc. and add a cover as well. You can actually generate the cover using AI. So if we click on generate image and then photograph, it will actually generate like a cover image for our pexi page based on the original report that we created. Let's see what other sources it's used here. So it's using some pretty irrelevant stuff as well from the list that I can see. Not bad to be fair. Like the reports are not bad by the way. That is a terrible image on the Plexi page that's published. So I think it's a great free alternative. Very quick. That's what I like about it. It definitely is a competitor chat to chat GBT deep research. I like the way that it cuts out the fluff as well. And also the stats and the insights pretty useful in the majority of cases. All right. So came back 20 minutes later and the chatbt deep research report is still thinking. It's been stuck on like the last bit of progress right there for about 5 or 10 minutes. Doesn't seem to have come back to us. So, from what I can see, Publexi is definitely a better option. It's cheaper. It's free. It works quickly. You actually get results. The resources, I would say, they're better than your average researcher, but they're probably not going to beat like your specialist researcher, if that makes sense. So, someone who like if you were if you're comparing this versus a PhD researcher, I think you're going to get better results back from a human, but it's still pretty powerful and super useful. Plus, you can ask follow-ups and go deeper into the topics you want after you've done the first set of deep research and you can keep that selected on deep research down there. Now, if you want to see a previous report that actually worked on chat for deep research, you can see this example. This was actually done in just 9 minutes using 19 resources. Now, if we actually look the research you get back from chat GBT is much more in depth than Publix, right? There's a much higher word count here. If we actually count the word count, let me have a look in a second. See what we got here. So, that is in total 10,600 words. So, it's a lot more in depth, but there's a lot more fluff in there as well. If you want to just get straight to the facts, he's going to do that job for you like you can see right here. But if you need dissitation level research report, then this is probably more in depth that a human can actually do. However, what you can see here is that quite often it will source places that are not that reliable, right? So, for example, if you were trying to create an expert research report, you're probably not going to check on forums on Reddit where anyone can post. But inside chatbt actually does do that quite often. And additionally, it's just got a lot of fluff in there. to actually read this report. It's going to take you about an hour or so to get through 10,000 words. So, thanks so much for watching. Plexi Deep Research is a great option like you can see completely free. You can get access to it now. And if you want to get access to the AI profit boardroom which comes with hot seat calls, my best AI SEO, tons of training on AI agents, social media platforms, etc. Feel free to get that link in the comments description. And additionally, it comes with a community of nearly 100 people interested in AI along with weekly calls directly with me in the group. And if you want to get a free one-to-one SEO strategy session, feel free to book that link in the comments description. We'll show you how we take websites from zero to 145,000 visits month and generate hundreds of thousands of dollars in sales on autopilot on this free link building acceleration session. You'll get a free SEO domination or the secret SEO link building. Answer any questions you have onetoone. So today we're going to be testing out data button which is like an AI agent that can essentially do a full stack code for you. So this is way beyond for example oneclick no code tools like bolt or anything like that because you can actually build the full stack and you can deploy to a domain. It's very easy to do that. You can even for example integrate stripe processing and you can do it without coding because you can just go back and forth in the chat and connect Firebase as well. So let's crack straight into this. We're going to click get started. So you can also connect it to your GitHub account which is super useful for pushing this live and then once you've logged in you can basically build whatever software you want. So inside the description here you can just explain what it is, what you're trying to build, how it works, etc. So here's an example. We're going to say build an SEO jobboard app. Add a login page full stack application for SEO agencies trying to SEOs. Allow them to upload jobs etc. And then we're going to click continue. Now from here what you can actually do is upload specifications, requirements, user stories, prompts, quotes, etc. And then I'm going to use a custom GPT to prompt. This is inside the AI profit boardroom. I'm going to say for prompting data button full stack AI creator. Give the prompt build an SEO jobboard app. Add a login page full stack application for SEO agencies trying to hire SEOs. Allow them to upload jobs, etc. And then include information on requirements, user stories, specification, and quote. Now this just allows me to plan out the whole project using AI and this custom GPT. It's built for example like property and G apps like R code clin GitHub copilot and also bolt. So you can
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see here for example it's coming up with the specifications. So we'll be using Firebase for authentication then adding some quotes etc. And we'll copy that prompt and then plug it straight into data button. So let's download that. Then we'll drag and drop it in here. So that's uploading the requirements. Then once that's uploading, we can click on continue. It says here how many websites or images we can use for inspiration. Let's take a screenshot of for inspiration. Like you can see obviously you need to be careful of copyright and stuff like that. I'm not planning to launch a job app. This is just for a demo on a website, but you can see how we're building that out step by step. Then for creating accounts you can actually link fire which will allow people to log in with for example with their Google accounts for example and also we can set up stripe. So stripe will allow for payment processing. You can also link this to superbase as well. So there's some awesome stuff you can do with this for authentication. Let's go with Firebase. And now it is creating the app step by step. What I love about this is just how easy it is and you can build MVPs. So you can see here the AI agent is saying I'm taking the information you've provided and turning it into a plan so we can follow to build an MVP users will love. All right. So we're filled in the description, the requirements, the inspiration, the integrations. Now this goes far beyond something you can build with bolt. new or these other apps. Like this is creating something that's far bigger, right? If you just want to create a simple landing page, simple game, a simple tool, bolt new is great for that. But if you want to build something pretty epic like this, like you can see we're it's even given us the idea for the SEO agency job board name which is SEO connector hub. And you can see step by step it plans out exactly how to build this. Plus you've got a chat if you want to ask any questions. And you can see here is hello. It's wonderful to chat with you. I'm excited to help you bring your SEO job board vision to life. I've created a detailed implementation plan that will take us from concept to a fully functional MVP. And the whole process is just so easy. All you need is the idea. And let's be honest, like you could ask chat GPT specific for 20 different ideas in your niche. And then you can launch all these apps, share them for free, use it for lead generation or whatever you want. You can also see there's a deploy option over here. Now, if we want to add Firebase, we can do it like so. It gives us the instructions and it's pretty easy to set up. And now we can start going off and completing each task step by step. So, if we click on start task, this is now going to start working its magic. Like you can see it's just going off and it's right now I'm going to create the landing page. So it's got the observations, the plan and the next steps on what to do. Bear in mind like I have zero coding experience, never learned code, but now I can build a full stack app using this process. You can see some of the other steps as well. So for example like building job posting management for agencies implementing the job search and listing page developing the agency dashboard the job seeker dashboard and creating a basic admin panel for content moderation. Now we've got an update. It said implemented professional landing page with clean navigation bar hero section features grid and strong. If you want to check this out you can just click on here. So you're just going to add a custom username that you can use on the app. Then you can click on deploy app and it's got the subdomain ready to go. So we've got the app deploying in the top right like you can see right here. So it's got like a loading status. Now once it's deploying it might take a few minutes to deploy that. What you're going to see is a loading section like this. And now we have the subdomain deployed. And boom. Look at that. That is very much inspired by upwork. com. So it's got SEO connect. You can sign in. You've got a signin page. You can post a job. Browse the jobs and create an account. And it's looking pretty good so far. That's just stage one. So we can mark that as done now. And now we can move on to setting up the Firebase implementation. So this is how people can log in, get their usernames, etc. So if we click on start task, we're going to go over to Firebase, go to our project, then we need to go to project settings. So if you go to overview and then project settings, it would be better if it told you exactly where to go cuz this is pretty general to be honest with you if you're trying to figure this out for the first time. If you're not sure what to do here, what we can actually do is just take like a screenshot of that. And then I'm going to go over to Claude, paste in the image from data button and say how to set this up. So now we need to click the code icon. Here we go. Give the app a nickname. So we'll put data button here. Register the app. Then we need to take the code from here. Go over to data button. Plug that in. And now all these links are linked, right? So if we go back here, we're going to click on get started. Authorize domains inside the settings section. So go to settings, authorize domains. Then we're going to copy this. We'll add that domain and we'll add that one. Here we go. You can also enable fire store database which will allow you to collect user data and then we'll install this. So it's creating a login page for the app now. That was fairly simple and easy to do. And by the way, if you want the SAP for all this stuff that we're doing step by step, feel free to get it inside the AI profit boardroom, including all my best agents and everything else. So, if you're getting stuck or if you need weekly coaching or you want to jump on a
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call with me, you can join the AI profit boardroom and we do weekly coaching calls. Plus, you can watch back and ask any questions you have inside the community. So, it's setting that up now and this was easier than I expected. I thought something would go wrong there. Usually, if you're using something like Bolt, you get loads of errors. You have to go back and forth a lot. But this seems to be much, much easier, which is great. All right, so we've set that up now. This should be looking pretty good. If we go on to our domain, we've completed step number two, which is beautiful. And now we're just going to keep running through each section step by step. So, we've completed stage two. Can mark that as done. Let's get started with this. The rest of it should be pretty easy. It's really only the Firebase bit that's a bit tricky because you have to integrate connecting the domains and authorizing it. And that just takes a couple of minutes to get your head around the first time you're trying it. But apart from that, this is pretty simple stuff. I'm no genius. So, this should be good to go. Now, I've got the job management dashboard, the implementation of the management system, the edit job page. We can test that it works as well. If you have any errors along the way, what you can also do is say, for example, whatever your problem is, you can say, okay, when I try to test this and it doesn't work, here's the error, right? And then data button will actually fix any errors and troubleshoot them for you as well. Bear in mind as well when you deploy, you want to deploy the current version of it each time you want to test to change. So for example, this was last deployed 19 minutes ago. So we want to deploy the new version now. And once that's done, you'll get a successfully deployed app notification. Let's refresh the page. See what we got here. And if we click on post a job, which wasn't working before the deployment. Now we can sign in with Google and test it out. And now we've logged in with the Gmail account. And that was beautiful. So now if we put in the details of the job, okay, SEO agency VA. We'll put in here job description for an SEO agency VA on Chat GBT. just so we can plug this in with some demo data. One thing to bear in mind here when you're setting this up, you want to make sure that you have if you're testing this on the test domain, make sure that you have the test domain set up as well. Right? So, we've got, for example, Julian Goldie. databutton. app allowed on the domains list. Otherwise, you won't be able to sign in with Google. We're going to just put in this dummy data right here as an example. Location, Zimbabwe, of course, 100. We're feeling a little bit stingy. Maximum salary, want 10 million because sometimes you never know. And then we're going to click create job post. And we can just go off and create our job post. So it's all pretty simple and easy to do. I've shown you how you can log in, post jobs. You can build this within a few minutes. You sit down for half an hour. You can get this deployed and set up. And it's really powerful. Like it's pretty amazing. This is by far like the best way I've seen to create something to create some sort of big One thing to note here as well is that we haven't actually paid for this at all. So, if we go to profile and then we're going to select our plan. We're not on any paid plan here. This is completely free so far. They do have premium options, but from what I've seen so far, I've not been charged, which is absolutely wild. Now, if you're making UI changes and that sort of thing. So, for example, at this point, we're working on task number four, which is adding the job search feature. So, you can see that you can actually preview different parts of the project. So where it said add job board job card component search, we can preview that and have a look here. We can also look at the code that's been updated as well. So this is for the job search section. So it's easy to see changes as you go along which is pretty cool. You can also change the brand colors. So if we say okay, change the project's brand colors to these. It's now updating the code across the project, updating the index. css of the project files. You've got all these project files as well on the left hand side. So you can see as well you got like the signup page, the UI components, and you can see that's now been updated with our brand colors. So we added the orange. That's looking pretty nice. Now the only thing that I would warn you about is the coding and the changes back and forth. They do take a little bit of time, so just be prepared for that. And then once it's done that, you can just redeploy this. So it's asking you to redeploy the app. We can click on yes. Okay, let's go. And then we can go back to our plan. Right. So, in the top left here as well, just one thing to note is you've got a plan and you've got a preview section. So, preview, you can preview what's going on inside the project. And then plan, you've got the step-by-step tasks for each section of this project. And then once you've done each part, you can just click on mark as done there and just tick it off. So, that is deploying now. We've got that good to go. So, let's open it up. And it's looking a lot better. You can see we got themed orange, the CTA buttons orange, etc. We can sign in as well. Let's try that. And you can also see here on the sign up page, you can choose between being a job seeker or being an agency. So, thanks so much for watching. If you want to get the full step-by-step SAP for you or your team, so you can go off and create full stack apps with data button. And there's no coding required here. And this is all free as well. You can see everything that I've done today is free. I've shown you proof of that. And inside the AI profit boardroom, I'll
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put the SP directly inside there. This will also include the custom GPT for prompting data button along with the full instructions on how to implement Firebase and follow all of this step by step. Along with that, this also comes with an amazing community of people interested in scaling, saving hundreds of hours and making more money with AI. You can post in the community if you have any questions. There's tons of courses and video tutorials like you can see in here that you won't find anywhere else. And also, there's weekly Q& A. So, if you want to just jump on a call with me, ask me some questions, you can do that each week inside the Q& A. And if you can't make them, the Q& A calls are recorded back. Link to that is inside the comments and description. And if you want to get a free SEO strategy session that shows you how we take websites from zero to 145,000 visits a month and generate hundreds of thousands of dollars in sales on autopilot, feel free to get that link in the comments in description. We'll show you on this free link building acceleration session onetoone. We'll give you a free SEO domination plan. You'll get a custom tailored link building plan to generate more leads, sales, and profits to your website. You'll discover the secrets SEO link building or answer any questions you have onetoone. You'll learn the best link building strategy for your website, plus how to quickly outrank your competitors in link building and how to 10x SEO traffic based on what's working for us and our happy clients. Feel free to get that link in the comments description. Appreciate you watching. These new one-click AI agents are absolutely insane. So, what you can see here is a brand new workflow I've been working from and it's all set up with where you can basically just plug in a message and it will automate a whole workflow for you from step by step. Now, I'm going to explain exactly what's going on here, how it works. But one of the most important parts of this process is that we actually have a human in the loop method for approving and then creating the feedback loops inside our AI agent process. So, let me show you exactly what I mean step by step. So inside here for example you can see we are actually using deepseek and you can use a free API from open router inside here. I'll show you how to set it up in a second and this is on a platform called N. Now inside NA10 you can actually build AI agent workflows. So connect to apps. So for example this is connected to our Gmail. Then we've got different AI agents like a research agent, an introduction agent, an agent for rewriting content like you can see right here. And step by step this is going to go off and do its magic for us. All right. Now, what you also see inside this section over here is we have a research agent. Each of these agents inside the workflow has different functions. So, what I'm trying to do in this workflow, and you can apply this to anything that you're trying to automate inside your business. I think it's really good for you to see the power of NAN and how you can set this up. But essentially, what we're trying to do here is automate the process of creating video transcripts for our YouTube channels. For example, inside my YouTube channel here, we create avatar videos with my AI functionality like this. This is not me. This is an AI. And this is 18 minutes long. It got 26,000 views. So, I was like, why don't we use that process to create a really nice transcript inside NA10 and we can basically automate the whole workflow with DeepSeek and one click step by step. So, first of all, what I'm going to show you is how the workflow runs step by step and how it goes. So, if we go inside the chat over here and we say, okay, here's my video title. So, I'm going to just put robots, right? New AI meta robots from partner. And what this is going to do step by step is trigger the workflow. So, just by typing in and one click in that title, it's now going to send that over to the research agent. And the research agent is basically doing the research on the internet live to figure out, okay, what can we talk about in this process? Then we've got the introduction agent. So this is going to write the introduction for our video so that we can automate that. And now we have a process where the research agent has given the research to the introduction agent. The introduction agent has written it, send it over to this feature right here. I'll explain it in a minute. And now we can approve the content that's come into the script before we go any further in the workflow. Right? And this is great for any sort of workflows where you need like a human sort of feedback loop to give and improve the content that you create inside your AI agents process. So essentially what this Gmail functionality here is doing is it's asking me to approve the email of the content we just produced. So you can see we get an email to our inbox. It says approval required as please approve this introduction before we carry on. And so we've got the introduction for our video. And you can see this is actually using real data to create the content. Now this video transcript itself is pretty cool. And then if we click on respond here, we can actually give a response on whether this is approved or not. And then depending on whether the transcript is approved, if it's approved, it will go to the AI agent for creating content. And if it's declined, then it will go to the rewriting agent, which is then going to feed that back into the feedback loop to improve the process. says, "If this is approved, great. Send it to the next stage. If it's not approved, let's make sure we improve it with another agent until it finally is good to go. " And the actual
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content itself is written really nicely using Deep Seek as well. So, if we look at this introduction, this is better than I could come up with on the spot. And you can see here it says, "Hey everyone, today I'm going to blow your mind with something that's about to change the game forever. Imagine robots working sideby side with humans like their best friends. " Sounds crazy, right? Meta just dropped something called Partner. And trust me, it's massive. This isn't just about robots. This is about making them smarter, faster, and way more helpful than you ever thought possible. Now, partner really only got announced like a few days ago, right? So, this is based on recent data, this research process. The way that we come up with the data is we use this model right here, open route to chat model. We use in perplexity sona. Now, sona is a pretty amazing API where you could build your own generative search capabilities, right? and it's using real time research from the internet to figure that out and it's pretty cheap. It's very quick to use and for doing research inside your AI agents, this is one of the best things you could possibly insert. So now we can say, okay, is this approved or not? So let me pull up an example right here. So you can see the process in real time right here. As you can see, this AI agent workflow afterwards is not complete. I just want to show you how powerful this can be as a feedback loop first of all. And so if we go to our email for approval from NA10, if you like it, you can say approved. And if we hit submit, so what that's going to do is approve it and send it to the next stage of the workflow. So it's using a text classifier to figure that out along with DeepSeek. So it's analyzing the response from us and then it sends it over to this process right here. Now, if this is declined, let me show you an example. So if we go to the chat and we'll run the workflow again and say it's declined. And just one thing to note here is inside our AI agents as well, we have these two agents linking directly to open route over here. So if we go back to our emails now, now we just need to say okay, remove the CTAs from the content. Hit submit and that's going to decline the workflow and send it through to our rewriting agent like you can see. And so we create like a feedback loop where we can reset the whole process based on the feedback we've given the AI agent so it can rewrite the content and then we're good to go on that. It's put it through the rewriting agent. The rewriting agent is on a green tick. So that's worked successfully. Then it's sent it over to the edit field section and now we have a new set of content to approve. So you can see this has just come through a minute later. 10:49 a. m. versus 10:48 a. m. And that's the new content to approve. So, if you ever want to stop the workflow when you're testing it, just click stop. And I'll explain exactly how this process works step by step. All right, the workflow begins when we set up the new chat message. If we delete that, we'll hide the chat to trigger this whole workflow. You just click on chat. And by the way, if you want the whole blueprint from me from today, we'll click download on this. And inside the SAP section of the AI profit boardroom, I'm going to add a new page called DeepSk NA10 agents and we'll upload the blueprint from this agent workflow right there. So, if you want to just import it and copy and steal it from me, you can inside the AI profit boardroom in the SAP section. Additionally, this comes with weekly coaching calls with me. So, if you have any problems as you go along, feel free to ask me on the weekly coaching calls. And like I was saying, this process, we start with a chat. That's how we trigger the message. Then inside here, we've got the research agent. The research agent is essentially going to go off and research this particular topic. All right. So, if we put meta AI robots into the chat, the research agent will use Plexity's API using Sona to research that topic. That's going to feed into the introduction agent. And you can see here that we have connected the chat model to the API from Deepseek R1 distilled llama. up. Honestly, for writing content, I would say Deepseek chat 2. 5 is good. Chat is good as well. Whatever you want to use here. If you type in deepseek once you've set up your open router account, then you get access to all these other models as well. So, you even get Quen Distilled R1 chat is probably the best for writing. I also like claw 3. 5 Sonic as well. And then inside the introduction agent, let me show you the prompts we're using. So, we've got a system prompt and we have an user prompt, right? Okay. So, if we click this right here, this is going to open up the prompted full screen so you can see what we're saying here. So, we're saying topic, see the content from this website. Also, don't ask me any questions. Just write the content. Don't mention title or teaser. Just write the script, nothing else. Do not say title. The reason that we're saying that is because when we're using this process, I don't want like any notes. I want it to be able to just go straight into my AI avatar video creator. By the way, tons of training inside the AI profit bordering for that as well. And using that process, we can easily create the introduction for our transcript. Now, we don't want to create the full transcript because we want to make sure the AI agent has written the introduction first and then we can go step by step into the rest of this process. Now, the key of this is really having a solid process for the system message. All right, so this is to use a prompt that's dynamic
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each time and this is a system message that stays the same each time. It's like a custom GPT, but it's plugged into the rest of the workflow. It's more like an AI agent. And you can imagine here that you've got a team working together, right? So you got the research agent working alongside the introduction agent and then you have the rewriting agent that's working with the human feedback I give to the process. And so inside the introduction agent, inside the system message, we've said you're my video transcript agent. Aim for 15 to 20 minutes per video is the topic in the first line, which is dynamic each time. So that's fed in from the chat. So if we say talk about AI robots, then this is fed into the user prompt above. Then from here we said create an amazing 4 to six line teaser for my video etc blah blah. Everything else is good to go on that. Now that's going to go into a email set module right here. Now you might be wondering okay what is that? So this is edit field set and you manually map and this is great when you've got two different agents feeding into one place cuz what it's going to do is take the previous output from the process. All right. And then send it to Gmail for approval. So this module right here, the Gmail one, this is actually a human in the loop module. So if you go to add module inside NA10. And by the way, if you're not familiar with all the basics on NA10, check out my other videos on YouTube about this. It'll talk you through step by step how to do it. But essentially, you can add like apps, agents, etc. inside Nit, link them together. And these arrows show you exactly what's linked together and how. So if we go inside the nodes here and we click on human in the loop, you can see that we can approve manually the content we've got so far from the introduction agent, Gmail or Google chat, Slack or Telegram. I think Telegram would be great, but I also think that Telegram has a character limit. So that's why I focus on Gmail instead. And now that's going to connect to our text classifier. All right, so this will send an email to my emails like you saw earlier in the workflow. We can approve or we can say no to that. And then inside the text here, this basically sets a filter. So if the script is approved, it goes to the next part of the workflow. If it's declined, it goes to the rewriting agent and that fires it back over to the set field for human approval. Now, if we go to the text classifier, we've got two different options here. So we've got a category for approved, which means that we've approved the process, like it looks good to go, whatever. And then we've also got the option for declined. And if we open this up, the AI agent knows this is declined. Now, this is linked to AI as well. So you can see here the model is linked down to open router using deepsek as well to figure out okay is this declined or is this approved? Are we good to go on that and we can send it over or does it need more improvement? And then finally we've got the rewriting agent. So the rewriting agent is also linked to deepseek and it's linked to this module over here. You can actually link multiple chat models from the AI agents to the same AI like you can see. And the instructions for this are basically take my feedback which is the human feedback I give via email. improve the script which you can see right here. And then you can also get the research for the script as well down there. And then if we open up the prompt for this is you're an AI powered script improver. Your job is to enhance and provide the script based on human feedback. Improve clarity, accuracy, structure, and alignment with the requested focus whilst maintaining natural readability. Boom. All right. And that's basically the whole process. And it's absolutely mind-blowing. Like I only started using this properly, I would say about two or 3 weeks ago, and it felt really complicated. Now it feels like you can build anything that's personalized to you in literally a few hours and it's a lot of fun as well. It's so much fun building out these feedback loops. So if you want to get all my best trainings and recipes on you can get that inside the AI profit boardroom. Just type in NM once you join and you'll see all these different workflows right here. Additionally, if you want to get the actual template from today, just go down to the SP section and then go to DeepSeek NA10 agents and you can download the feedback loop method right there. Really good for creating content because obviously content creation, if you post it without checking it using AI, it could be hallucinated. It can have facts wrong. And that's why you need a human in the loop feedback method like this. And hopefully it just gets approved in one click. But if not, you give it the feedback, you can improve it, and then review it again once it's done. Additionally, if you want to jump on calls with me weekly, you'll get that inside the AI profit boardroom along with a community of 124 members like you can see. And if you want to get a free one-to-one SEO strategy session, feel free to book that there. We'll show you how we take websites from zero to 145,000 visit hundreds of thousands of dollars in sales on autopilot. And this free link building acceleration session, you get a free SEO domination plan. Discover the secrets SEO link building or answer any questions you have onetoone. You'll learn the best link building strategy for your website, plus how to 10x your SEO traffic based on what's working for us and our happy clients like you can see right here. Feel free to get that link in the comments description. Appreciate you watching. Ba.
