FREE Claude 3.7 AI Agents Are INSANE (1-Click Setup!) 🤯
11:32

FREE Claude 3.7 AI Agents Are INSANE (1-Click Setup!) 🤯

Julian Goldie SEO 03.03.2025 15 233 просмотров 347 лайков обн. 18.02.2026
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🚀 Get a FREE SEO strategy Session + Discount Now: https://go.juliangoldie.com/strategy-session Want to get more customers, make more profit & save 100s of hours with AI? Join me in the AI Profit Boardroom: https://go.juliangoldie.com/ai-profit-boardroom 🤯 Want more money, traffic and sales from SEO? Join the SEO Elite Circle👇 https://go.juliangoldie.com/register 🤖 Need AI Automation Services? Book an AI Discovery Session Here: https://juliangoldieaiautomation.com/ Click below for FREE access to ✅ 50 FREE AI SEO TOOLS 🔥 200+ AI SEO Prompts! 📈 FREE AI SEO COMMUNITY with 2,000 SEOs ! 🚀 Free AI SEO Course 🏆 Plus TODAY's Video NOTES... https://go.juliangoldie.com/chat-gpt-prompts - Join our FREE AI SEO Accelerator here: https://www.facebook.com/groups/aiseomastermind - Need consulting? Book a call with us here: https://link.juliangoldie.com/widget/bookings/seo-gameplanesov12 How to Create Free AI Agents with Vector Shift and Claude 3.7 Sonet In this tutorial, learn how to build free AI agents using the Claude 3.7 Sonet model within the Vector Shift.ai tool. Discover step-by-step instructions for setting up input fields, configuring anthropic modules, and utilizing chat memory for seamless automation. Watch as we create content effortlessly with this powerful AI, and explore how to integrate it with various platforms like WordPress. Plus, get insights on joining the AI Profit Boardroom for advanced training and weekly consultations. 00:00 Introduction to Building Free AI Agents 00:14 Setting Up Vector Shift and Claude 3.7 Sonet 00:34 Connecting Modules and Creating Agents 01:35 Deploying and Testing Your AI Agent 02:52 Building an AI Agent from Scratch 04:22 Using Knowledge Bases for Better Outputs 08:44 Integrating with Other Apps 10:24 Conclusion and Additional Resources

Оглавление (8 сегментов)

  1. 0:00 Introduction to Building Free AI Agents 44 сл.
  2. 0:14 Setting Up Vector Shift and Claude 3.7 Sonet 77 сл.
  3. 0:34 Connecting Modules and Creating Agents 200 сл.
  4. 1:35 Deploying and Testing Your AI Agent 265 сл.
  5. 2:52 Building an AI Agent from Scratch 316 сл.
  6. 4:22 Using Knowledge Bases for Better Outputs 910 сл.
  7. 8:44 Integrating with Other Apps 349 сл.
  8. 10:24 Conclusion and Additional Resources 261 сл.
0:00

Introduction to Building Free AI Agents

today I'm going to show you how to build free AI agents using Claude 3. 5 Sonic and this is inside a tool called Vector shift it's Vector shift. that's where it's available and from here you can build different tools apps and agents
0:14

Setting Up Vector Shift and Claude 3.7 Sonet

right so for example this is actually one we've built with deep seek previously but the cool thing about Vector shift is number one you can build this out for free and number two it now has access to Claude 3. 7 Sonic so if we switch the model over here I'm going to delete this from my pipeline I'll show you how to build this from scratch but we'll delete this for now and then we're
0:34

Connecting Modules and Creating Agents

going to add a new llm so we'll connect a new module with AI click anthropic put in the system instructions there and then we're just going to connect our modules right and basically what this can do is create like free agents for whatever you're trying to automate directly inside Vector shift and it's completely free so if you want to connect something like for example we've got a chat memory here that we want to connect with our AI agent which is right here then we're just going to go with the curly brackets we're going to tag in the chat memory we've connected that now and then finally we're just going to connect this bad boy here and what you can see is this is going to take our connection from a chat input send it to anthropic via Claude 3. 7 Sonic you can use your own API key if you want but obviously that's going to be paid whereas this is completely free the way that we're building out now we've got knowledge bases over here we've got a chat memory so the chat remembers our messages and then finally we've got an output right
1:35

Deploying and Testing Your AI Agent

so if we click on deploy changes we'll put CL 3. 7 sonit inside the AI agent and let me show you how this works step by step so if we go to our export we'll go over to run then we can test out as a chat bot over here we'll say Okay create some content and we'll say Okay keyword equals SEO trainy Japan hit ECT and now you can see the AI agent is taking the prompt it's using claw 3. 7 Sonic to reply to us and this AI agent is just going to go off and start creating whatever we want now also inside the prompt section here you can see that it's taking the prompt so from my chatbot plugging that through Claude 3. 7 Sonet and then using that to create the content and now we've got the content back from the AI agent let me open this up so it's easier to see and that was incredibly easy show you what the output looks like so this is a Blog Creator but you can use this for whatever sort of process you want use and all of this content was generated with claw 3. 7 Sonic completely for free I'm not paying for Vector shift they do have a Premium plan but you can just build one AI agent completely for free and that content is pretty much perfectly formatted ready to go it's also got internal links to our funnels and that couldn't have been easier to build out so let me show you exactly how
2:52

Building an AI Agent from Scratch

to set this up and how to get these deployed so I'm going to X off this we'll delete all the nodes just see you can see how it works from start to finish and we'll delete the output noes as well so if you want to build a AI agent from scratch first thing you're going to start with is an input field so you can see an input field right here and this is basically the text from the chat all right so that's what's going to be used to trigger our workflow so the AI agent understands what we're talking about and the context then from here we're going to select LM and because we're using clo 3. 7 Sonic we want to be using anthropic and then inside here we would select Claude 3. 7 Sonic as a module you can also see for example you get 3. 5 Sonic hiu Etc but the latest model and the greatest model from Claude is 3. 7 Sonet so that's one we want to be using and for the prompt we're going to tag in the input if you want what you're going to chat about then just use the curly brackets like so click on that double click on it and you're good to go right so we've already connected the chat input to the anthropic AI agent then whatever prompt or whatever you're trying to automate here you can plug into the system instructions so I've actually got a prompt for creating content like you see right here and use the source context from the knowledge base here's a keyword which is the chat prompt input and then to create the content here's what to do and make sure you use the memory to so that you remember any sort of back and forths that we have all right so inside the
4:22

Using Knowledge Bases for Better Outputs

knowledge base we're going to select a knowledge base here you might say why would you want a knowledge base so a knowledge base is super useful because it's going to be using that to create the rest of the content and really understand what you're talking about and how the process works so you see how it says user Source context from here we're going to tag in knowledge based like so that's tagged in and we're good to go and if you're wondering okay how do you set up a knowledge base inside Vector shift let me show you that in a new tab so open this up go to knowledge and you can see we've added this knowledge right here so you can for example like insert Knowledge from your L you can also add documents for example we can click on ADD document inside the knowledge base and then we could upload a document that we want to feed knowledge base for creating our AI agent the more context AK knowledge that you give the AI agent the better the outputs so for example if I take my about me page which is super useful for just training the AI about who we are Etc I'll download that right now then we'll upload that into the knowledge base so here we go that's going to upload the document and now that's going to feed in to our knowledge base like you can see right so it's taken the document and the URL then once that is fully synced up you're going to see a check mark right there right and also you can res scrape different web pages so for example if we say I want you to use the knowledge from Julian gold. com to create the content then we can say Okay scrape that every week because I update it regularly so we've uploaded a document with about me information we've uploaded a live URL that the agent can scrape anytime then if we go back to our pipeline here we can now start using this to create content all right so it's going to connect to the knowledge base automatically and then inside my prompt I'm just going to tag that in so under the use Source context for creating the blog we're going to tag in the knowledge base like you can see double click on that so we don't get any errors and then it's going to use that trained knowledge to create our content and then from here just to keep things really simple we're just going to create a basic output right so the output is essentially what we want the content to be output from right so we're going to tag in the AI agent which is anthropic so that's the module we'll double click that and we're going to use the response from the AI agent and you can see this is now connected nicely in a linear fashion right so you got the inputs which will be the chatbot you've got knowledge which is going to be useful for creating the content also going to add a memory section here so if we go to chat memory this is super useful and also we need to tag in the keyword which will be the input so let's tag that in and then for the memory we're going to use that right there all right you might say why would you want a memory because otherwise if you're using a chat bot for example it's going to be super annoying if it forgets everything and you have to reprompt it every single time all right so we've deployed this now if you want to deploy it you just go to the deploy button export it and then if you want to run it before you fully exploit it you can do that here we can go to chatbot and we can just run a test right so we got the input and the output and if we say Okay keyword equals SEO training Japan so enter now claw 3. 7 sonit is being used in the workflow it's processing the request it's going to take a little bit of time cuz it's a reasonable model but the outputs are so much better with claw 3. 7 on it and the cool thing about this is it's going to be way easier to use this inside a chat than it is inside like a project or that sort of thing right so we can build and deploy chat Bots we can share this with our team and we can easily create content now we've got the content back like you can see we open that on a Google doc just to show you the output and this AI agent just creates content for us an autopilot let's see how long content is we got 750 words right there and it reads pretty nicely and all we did was just give it a keyword that's it right SEO train in Japan mass of the art of ranking in Japanese surge creates a nice little intro it's all nicely formatted we've got the headings throughout nice bullet points that's pretty much ready to go as an output into WordPress and that's the other thing you can do here so if we X off the pipeline we can go into Integrations
8:44

Integrating with Other Apps

here and we can connect this to different apps right so for example if I want to connect this to Wordpress I can do that over here and then I can take the outputs automatically from the AI agent and publish that to Wordpress so we can just sign in with WordPress Exel let's connect the account and then once you've done that you can automatically output to Wordpress pretty simple to connect apps which is great the same with for example like Gmail Google Calendar Discord Etc Google Sheets like there's so many different apps you can connect inside this AI agent which is absolutely awesome and then once you have all of this we can deploy the changes hit deploy go to export and then just export it from here now if you're on the free plan just delete any chat boot you've got already so for example like this one I'm just going to delete that the other thing I would say as well is like previously I would use deep seek but honestly claw 3. 7 API is just 10 times better when it comes to this stuff so from here we're going to deploy this go to export it is a chat bar create the chat bar we can customize it before we publish it so I'll call this content creator bar export that bad boy and now we've got the chat bot ready to go like you can see and we can just create content whenever we're ready so for example if we put okay keyword equals SEO training London all right then this AI agent is going to start processing the request and again this is all free it doesn't cost us any money we can also for example embed it on our website so you can take this code embed it over to Wordpress pretty simple and easy to do and if you wanted to use this as your own like personal custom GPT you can bookmark it come back to it whenever you're ready for watching if you want to
10:24

Conclusion and Additional Resources

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