Claude Code & MCPs built my $145K marketing machine

How can you use AI agents, MCPs, and a bunch of different tools to make money on the internet? Today, we walk through it all. Yes, you can vibe code anything and right now, and that's great, but how can you actually use AI agents to get you customers 24/7? Well, today we live build it. We actually spun up 10 cloud code instances and we show you how you can do it to help you get customers on repeat. I loved this episode. It's my friend Cody Schneider. He's an absolute legend when it comes to vibe marketing and growth marketing. This episode is saucy and by the end of the episode, you're going to feel pretty confident you know what to do. You are in for a treat. Enjoy the episode and I can't wait to see you in there. — Cody, by the end of this episode, what are we going to learn? You're going to learn how to build your first agents that allow for you to go and build personal software to do marketing, sales, growth, customer experience for yourself. And by the end of this, you're going to come out of it with this whole new tool set that allows for you to do all of the middle work without touching a keyboard. You're just going to use your voice and have agents do work for you in the background. Man, it's going to be crazy. — Okay. And can you list off a few of the piece tools and pieces of software we're going to use like — Yeah, absolutely. We're going to touch Phantom Buster. We're going to use Instantly AI. We're going to use Refonic. We're going to use um Railway. com. Uh we're also a bunch of different other tooling that's in my goto market stack. So, um, we're also just going to use like the Facebook ads API as an example as another, uh, just like, you know, way that we're going to interact via this, uh, this agent harness cloud code. — All right. And we're going to live build it and everyone well, you're going to watch the whole thing. So, let's get into it.

— Cool. Sweet, man. Um, so just to begin with, G do you know like GTM engineering or like what it even means or like where it comes from? — No, honestly, I don't. That's why It's like a buzz. It's just a buzz word, right? So, this is actually like made up by clay. com, which is hilarious. Um, and they originally did it as like a way to explain somebody that like does basically like cascading workflows for like data enrichment to do outbound sales motions over email or Slack or, you know, it could be like cold calling. Um, so that was kind of the origin of this was like it was just basically this term that was given to it, but it's quickly evolving into something entirely different. Um, and so let me screen share and I can just like show you like what we're seeing this work as now. Um, but basically like what we're like seeing is that the Can you see this? All right. — Yeah. — Cool. So how I'm thinking about it now is like basically everything that used to be the middle work that we would do like all of anything that I would do to touch the keyboard I'm now passing it on to some type of agent hardness um whether it's claude code or it's codeex or any of these tools and so my job suddenly turns into like I have ideas I pass them on to cloud code and then I'm basically polishing the end product and it enables me to do like things at scale that were just previously impossible. And just to give you like a taste of like what I'm talking about, we're going to do this today. Like build a 100 Facebook ads, publish them to Facebook, build a dashboard to track that, analyze the data within Clog Code, have it turn off the Facebook ads that are the low performers, have it bump up the Facebook ads or that are the best performers to a new ad set with its own dedicated budget. And everything that I just described that happening in like literally, you know, 30 minutes. So I'm anyways again not really sleeping. Um so this is kind of where it's at now and I'm going to talk through like this whole setup process and actually how to do this. Um and then I'm going to talk about where it's going like how agents are the natural evolution from this. Basically, as soon as you like start you have this epiphany of like I can get this thing to do work for me, then you suddenly have this like you come to Jesus moment of like, oh, I can just deploy this onto a server and now it's doing this task for me in the background and I'm building out this personal software for myself, for my job, for my my, you know, tasks, etc. And this isn't some like hype thing of like go do open claw and give it access to everything. I'm talking about like specific like jobs to be done workflows that are custommade for how you want to operate in your day-to-day. So that's kind of the high level man. Any questions I can try to answer? Happy to go deeper on anything. — No. Um if you can teach me this by the end of that episode. I mean that's sort of the that's I think the question that a lot of people have in their heads right now like how do I how can I do that? Right? Because that's going to be an unfair advantage. Um, so yeah, let's go let's go through it. — Perfect. Let's jump into it, man. All right. So, first off, what you need to

do if you're watching right now is I want you to go and I need you to create a folder that you're going to start living out of. So, the one I live out of is called Graph uh Graph Growth Agents. So, everything I do now where I start my work, it all exists within here. And the first thing that I'm going to have you do is you're going to set up an environment file. And this environment file, it just holds all of your API keys that you're basically going to be working with. So what I'm doing is I'm basically having and I'm just not going to show this just because it has literally all of our API keys for everything, but it has uh I can open up this example one. Um, so it has uh like intercom, it has our send grid API, my HubSpot API, my cow. com API, my perplexity API, my Facebook ads API, uh in uh million verifier instantly everything that I live on top of that is a part of my day-to-day growth stack. This is like what I'm working with basically. Um, and so what this translates into or like why I'm why you start here is you're basically starting to interact with everything that you do on a daily basis via the APIs. And this is actually how I'm thinking about everything I do now and like how I buy software in particular is how robust the API is. It's funny. I was talking to a friend recently and he's like, "If you're looking at Salesforce versus HubSpot right now, Salesforce, even though it's like historically a more clunk like clunky CRM, it's actually the better product for this AI foundation because it has a more robust API so you can do more with it basically. " Um, and this is what this like turns into is you're all of the work that you're doing and we're going to do this together today is going to be happening from this like repository. When I say repo, all I mean is just this like folder that we're living in that has all of these files. And I'm going to be using cloud code like throughout the rest of the session to basically be building out this personal software and be building out uh you know actually doing work if that makes sense. So that's kind of one component of it. The last piece um is then I would strongly suggest get suggest getting something like a super whisper or uh any of these other transcription uh softwares because it enables you to just so quickly go through the process of building out like what you're trying to do on the distribution side. And then optional is just installing the claw code front-end design skill. I've just found this to be like one of those things that it, you know, if we're going to generate a UI, it's nice to have it look pretty. So, all right, that is kind of the foundational pieces. Now, let's actually like Great, that's cool. You've just

built this. What do you actually do to go get started on this? So, the first thing that I'm going to do to get started is I'm going to go and I'm going to have uh Claude Code start responding to people on LinkedIn for me um that have asked for an asset. So, I've been doing all of these like giveaways basically. Here's one that's an email triage. Um I wrote this uh giveaway doc, you know, notion document. I'm now going to go in and I'm going to get this agent to start running for me in the background while I have other work going on. So, I've got the Claude code or sorry, uh Chrome extension installed and I'm going to go and I'm going to say um so I'm working out of this uh that directory, right, that I've already been in. And I already have built this uh basically skill and it's a piece of software that will go and comment on everybody that asked for this asset. So, I'm going to say this right now. I'm going to say uh let's run or we're going to transcribe it. So let's run the LinkedIn uh respond uh software. Uh the u keyword that you're looking for is triage. I'm going to provide the notion documents and the LinkedIn post URL. And then I'm going to select the uh post URL and I'm going to put that in. And then I'm also going to select uh the notion document that I want it to do as well. So I'm going to give it that. Uh, it's going to start running. So, what it's going to do right now is it's going to basically open this up. I'm going to babysit it for a moment while it starts this process. Um, and just make sure that it starts on the right path. And once it's on the right path, then I'm going to go and basically start on the other things. And actually, while it's thinking, let's just go to these other uh places. So, next thing I'm going to do uh is I'm going to uh go or sorry, it that just opened the LinkedIn profile. Let's bring that back over here. Um, so this is now running. Uh, perfect. And so this should now start commenting on those, responding back to those people. I'm just going to change this to most recent just so that it works backwards on this. And then we're going to just let that run in the background. So, while that's happening

um, what I'm going to do now is we're going to build a Facebook ads generator. So, um, I've been doing this where it's basically a and I'll show you an example of what this looks like. Let's just go over to uh LinkedIn and I can give you an example of the output that we're going to actually create today. So, it's basically a bulk generator of ad creative. We're going to create this template and then I'm going to go and do research based off of uh Reddit um and other social media posts for the pain points that people experience and then we're going to go and bulk generate all these variations. So, let's get that started right now. So I've got again those API keys are stored within here and I've also made that uh that skill. So I'm going to tell it right now um I want you uh I want you to create a bulk Facebook ad generator. It's going to be a 1080x 1080 pixel image. Um what's going to happen is uh I'll give you an example of what one of these ads looks like. Uh and then uh we're going to go and build a template around that. And then we'll I'll basically create a or give you variations of text both titles and paragraphs um that we I want to be generated. It'll be a zip file that we download um uh for the beginning. Um can you make this into a UI as well so that we can visually see uh the uh creative um for the first thing I just want to be able to see is like what the actual creative will look like. Um for this you're going to use uh just React components. Um, so I don't want you or like I just purely build it with React components and then also uh to actually change those React components into a PNG that's downloadable. We're going to use um HTML to canvas. It's just a you know resource that you have available for you on that. Uh ask questions if you need. So I've just transcribed that. I'm now going to put COD uh into uh plan mode and I'm just going to let that start running in the background. All right. So, while that's running in the background, let's come back here and let's see the work that it's doing. Uh so, it's going through these and I believe it's now commenting. So, that's happening. So, we'll just let that run uh in perpetuity. Respond back to them. All right. Uh so, next uh I'm just going to just click through this quickly. Um I'll share it now. I'll share it uh I'll share it after setup and then input method formbbased UI. Let's do both. And then I'm going to hit submit. All right. So now that's working on that in the background. I'm going to

open up another folder and I'm going to start cloud code again within an entirely another diff or another window. So I'm going to do documents forward/graph. Uh let's go to uh agents uh and then demo. All right. So, the next thing uh that I want to build as an example um is uh I'm going to uh basically pull information um for so I just I just did this actually so we could like talk through um and about what this ends up looking like. But basically scraped all of the podcasts that were within the marketing category and then built a workflow that goes and cold emails them and then an agent that responds back to book me on the podcast. This ends up turning into way better performing than I expected. This is what my week. — That's crazy. Sorry. What is instantly? — Yeah. So, instantly is a cold email software. Um, and so this is just a part of my stack. So, it's one of the things uh that like is within that environment file that allows for me to build on top of. And so what I'm uh like how I can think about this like on the uh is it's basically like my manual workflows that I would do previously. We're just like daisy chaining those together like using this software. So I'm going to bring this into a new desktop and let's just rebuild that whole thing. I'm going to say um you have the rafonic API key. Um I want you to build a software that scrapes uh podcast uh host emails from rafonic. It then sends it to million verifier to verify the emails and then it also uh will then send it to an instantly um uh campaign. I'll provide the instantly campaign that I want it to send to. All right. So, I've got that now. Um I'm going to put that into plan mode and let that run as well. Um and then we have that as its own window. And so while these two are working again in the background, um we'll we can then go and actually do uh like some other work. Uh so let me get this going and I'll just say cool. So that's in plan. All right. So now th this is my we're in this

folder. This is like my demo folder which I just like every time I give this presentation I just nuke. This is kind of to show you like how to start it from zero to one. This folder that we're in now is my actual folder that I live out of. Um, and I'm just going to show you some of the things that like are like capable with this. Um, so for example, I have it attached to notion and I've basically given it a uh um an example of like how do we write a um like a notion like giveaway, right? So I'm going to go and we're going to create one of these together right now because I need to actually accomplish this. So, I'm going to give take this URL and then copy this over and I'm going to say okay um write a uh or create a notion document uh based off — look at you typing with your hands. — I know the problem here we can do it in the transcription. So, create a notion document based off of uh our like current or you know our structure. Look for the skill that has this. I'm going to provide context on what that should include. Um, you should uh incorporate stuff that we ha we haven't within the repo like the documentation that I have in the repo on how to do this. All right. And so I'm going to copy this over. Let that run. And now it's going to go and create me a notion document just like the one that we have being sent in the background here currently. All right. Um, so in that folder, I've already created the uh bulk ad generator. So I'm just going to go in there just to show you like what you can do with this once that it's like you've actually gone through this process of like zero to one making this. So this is the bulk u the creator as an example. So um that's going to continue working on that bulk Facebook ad generator in the background. While that's happening, let's go to graph growth agents. And then I'm going to start cloud code within there. And now I'm

going to uh start locally the bulk Facebook ad generator. I just want to uh bring that up uh within um uh my local so that I can create some ads. So again, it's already created the software for me. I'm now coming back to it and I'm going to talk through the whole process of the actual creation of this because it'll just like make more sense uh momentarily. Um, but the goal here is basically what we're trying to do is I'm uh trying to create as many different variations of these ads as possible. So, how did I make this ad? Um, this is entirely code and I think this is something to like doubleclick on. Um, everything in here is a just it's just React components like that. This is just a React component and entirely built by code. And so I can make an infinite amount of these at scale and I've done this already. So you can see this bulk slash or for/bulk/html. Um so we're going to go through this together though. How do we actually like do this process? So I would go and I would give it an example and we'll do this over here while this one is like working on it. We'll come back to that. But I would give it an example of what uh like ad I'm trying to build. A way to do this is if you don't know where to start, go to Facebook ads library and you can see what your uh like competitors or other software companies are doing in your category. This is actually how I made this initial one was I found like this before and after format and then I basically had it build off of uh that before and after. Um but this whole thing like everything you see here is just code. It's entirely code. Um the other way you can do this is with something like nano bonanana where you're like going and bulk generating these right. Um but once I found and I built that template I can now make all those variations. So, let's go back to cloud code and uh let's say okay, I want you to use the Facebook ads API and I want you to go and scrape uh the pain points that you see or sorry uh actually let's restart that. I want you to use the uh perplexity API and go and scrape Reddit for the pain points and the outcomes that growth marketers wish they could have uh from like something like a Looker Studio um or any of these other business intelligence softwares that uh they're using. Uh we've been u focusing on like the the data analyst component of it of how they can't get bandwidth or it's too complicated to get started or they can't unify their data all into one location. And you can also source from YouTube. uh Twitter if necessary. So I'm going to have it go do research and those pain points — for the ad. Sorry, for the ad itself, wouldn't we want to use Nana Banana Pro like the best image model that exists? Like why are we using code when you know when we could? — Yeah, I'm just doing this purely like this was just a way I thought about doing it. Like absolutely the nano banana thing. Um the only thing I've found with like Nano Banana is that I sometimes have trouble like getting it to stay on brand. And if I'm trying to just like figure out the messaging variations that I'm trying to go after, this can be a faster way to do that. Again, there's like a million different ways to do this exact same thing. Uh I think if you're going to use man Nano and Banano, you should look at something like um I think it's like Kai AI, I believe. uh nano banana or yeah kai. ai um and you could just like basically it's one of these bulk buys um but we've been using that for these bulk generations. This that I'm doing costs me nothing like it's literally you know maybe a thousand tokens to do all of these like these generations and so this that's a reason for it. So, it's like I can go we could go and create a thousand ad variations right now, G. And like this literally costs nothing. — Um, — but again, — well, that's a part of it too, right? Is like — your goal is going to be come up with the best ad creative that's going to actually, you know, you put in a dollar, you get $3 out. Once you get that, uh, you can make it, well, there's two schools of thought. One school of thought is you need the best creative, so you need to send it to Nana Banana Pro to get scroll stopping creative. Another school of thought is like, well, you actually have some pretty quote unquote ugly ads that just speak to the IC the pain points that you can kind of get a good understanding of this is going to bring you a$150 uh when you put in a dollar and then you can get it from a$150 to $3 once you figure out the ad. So, you're kind of saying maybe it's best to like get as many ads as possible, start using the those, figure out the one or two or three creative that actually crushes, and then go ahead and go crazy with spending tokens. — Totally. Like the I guess a different like I'm just trying to find like the format or the angle that's going to be most receptive. I'm going to remix that a thousand times, you know, after it. Um the this is like the big piece of this especially with like how much we can do um on the uh like the anybody can go and generate as many of these as they want, right? Like it's literally infinite. But identifying those winners like you're talking about now becomes the challenge that you're going to face with all of this. And like we're going to get to that in a second. But the the main thing I want to emphasize with it is like this is malleable and flexible and the spit the pace like just think about you manually having to go create 50 ad variations in Figma and like you can just now make those and get those live and test those and as soon as I find a winning like format from a uh a language that's being said perspective, I can then go and remix that into all these other different templates. I can go and find like what are different winning ad formats that I can now port this to. But this is a way to just like start immediately and then get that basically out in the in in public. I also think that like the same ideas can go into different formats like we're all you know already seeing this where it's like cool I made you know a static format. I'm now going to port that over to a UGC format and I'm sending that to the Hey Gen API to pull in that uh um you know like to make that creative like pull in pull it in as a video and then bulk upload that to Facebook if that makes sense. So I like where I'm going with this or where I'm seeing this head personally is like I'm going to build these tools that an agent is going to have and then it's going to be able to run this process in the background where it's basically has the ability to make new creative. It can publish that creative to directly to Facebook which I'm going to show you in a second. Um it's going to then analyze what is working and then it's going to like basically turn off what isn't and promote what is. Right? And this is everything I'm going to show you today is at like a small scale. Like this is literally like weeks of realization that's starting to happen like with this. But I just again I want to plant the seed of like what is possible using this tooling to like do your again that middle work that historically like you wouldn't be able to do. So yeah. Is there questions about that I'm gonna try to answer? — No. Let's keep cooking. — Awesome. All right. So this keeps like trying to scrape things. I'm just going to be like um instead I want you to just brainstorm uh pain points that people have uh with data reporting specifically uh the unification of the data into multiple locations. Cool. So we're going to do that. Um once I have all those variations I can then say okay now go bulk generate every one of those. And then at that point I can download these as a CSV. And what I will do is just wait for that to while that's happening, we'll just get this to start h downloading. And that Facebook ads API is going to allow for us to bulk upload all of those pieces of creative that we just downloaded. So here's all those variations. I'm going to say now, okay, now use the bulk or let's do the transcription. uh Facebook ads generator uh to go and create these variations. um uh put them in the for/b bulk. html uh page when you're done with this. So, this is now happening. I'm going to go back over to see what the other things are going off of. All right. So, let's see this notion document based off of the current. We'll continue to let that happen. Um I want to build this. Perfect. We're going to let that go as well. So, I'm looking at the scaffolding to build the bulk ad generator and we'll check in on this one to see where it's like basically at in its process of responding. And it might have completed and it did complete. So, that's done. It ran for 15 minutes uh on its own in the background. These are coming back. Um

so, while these are all happening and I'm waiting on them or they're waiting on me, I can then open up another one of these. So, I'll just click through this uh to just kind of get it moving. Um, but I would then open up another one of these tabs and I would start on the next project. So, the next thing that I want to do is I want to build a LinkedIn um, engagement scraper. Um, so I'm going so basically people that engage on the LinkedIn prof or the LinkedIn post, I want to pull them out and then send them to a um, uh, basically add them into instantly. So, we're going to go we're going to find their LinkedIn profile using Phantom Buster. We're then going to uh, you know, do that whole flow. Oh, so I'll do that in a second. Let me just get this up. We'll give that its own section. — By the end of this podcast, you're going to have like 100. — This is literally how I'm working now. This is like I'm just jocking agents across and then if I can automate them and get them — to do like if I can figure out okay this is the specific lane that you can focus on then I'm spinning that up onto a server on railway and I'll talk about that in a second on like how you can on demand create databases and on demand create these servers so that this software starts running in perpetuity. So we're going to do this demo one. All right. So, I want to make a workflow where it's a uh I basically within Slack, um you'll do forward slinked post and uh anybody in Slack will be able to just drop in a LinkedIn post that they think is a good fit. And then that's going to go and it's going to use the Phantom Buster API to extract all of the engagers and then it's going to take those LinkedIn profiles. We're going to go and enrich those with the Apollo API. And then from there, we're going to send it to the million verifier API. And then finally, we're going to add them to an instantly uh campaign. Ask me questions if you need. All right. So, I'm going to turn on plan mode for that. Let that start running in the background as well. We'll come back to these. Let them continue to cook. Publish the landing page. Let me get context on what this one is again.

— This is the craziest part when you're going from screen like uh screen to screen and realizing that you're an agent jockey. And then you're trying to get context on each one. — You're like, "Okay, what was this one doing again? " And I find that the context switching is actually difficult. — I did as well, but now it's like now it feels like I like that has expanded like and again this is just how I've been working for the last like six weeks. And it was like maybe I could have like two or three of them in the beginning and now it's like I'm comfortable with like we could have 15 windows open. I'm about to literally go buy a new computer cuz I'm like I need more RAM. I need more like ability to do this in the background, which just sounds so — totally. — Yeah. — Like and comment this video so that you know I could send some YouTube AdSense revenue to Cody. — We can get some more RAM. — It's all ridiculous. — This guy needs some RAM. — No, man. We I It's like I'm just realizing like what this turns into. So

okay, we bit we made all those pieces of ad creative, right? I've got those variations and it's just text variations. All right. So, now I'm going to go back to Claude and I'm going to be like I want uh now I want to buckle bulk upload all of these ads as drafts into um a Facebook ad set. Um here is the U or here's where the um folder is locally for the um creative and I'm going to provide the Facebook ads uh adset URL to you in a second. All right. So, I'm now going to go back to Finder and I'm going to copy this. Paste that in. And then let's go back to Facebook. And I have this uh ad set that I've already created for this demo. It's basically just here. And I'm just going to paste in this URL. And so now here's that URL. It's going to uh basically uh bulk upload all of those pieces of creative into that ad set. Um so while that's happening, I'm now going to go and I'm going to create a dashboard about this. Um so let's just pull out the adset ID. Let's do the ads set ID. And I'm going to go over to graph and I'm going to be uh pull up Facebook ads as the data source. And then I'm going to be say uh this is the ad set ID. Make a dashboard showing clicks over time. Um also have a scorecard that or sorry I didn't do the transcription. uh as a line chart also. Uh within that line chart, can you include uh um the cost and the CPC as lines as well? And then uh add a scorecard also that has total spend, total traffic or total clicks um as another scorecard. So those are two separate ones. Um and then I want you to also show demographic data as a bar chart um of showing the ages. Uh so that that's its own separate chart. It's a bar chart basically showing uh the impressions by the age categories.

categories. So, I'm going to let that run in the background. Uh we'll come back to that in a second. Um but now that I'm have this campaign that's running and I'm trying to track what's happening within it, I can basically go and uh like build out a tracking dashboard for this. Um the other thing that I can do, so once it's uh got the ad set, what destination URL would you like? um just put them uh as a draft. So uh while that's working, I can also analyze what is happening in that specific ad campaign. Um and I can turn off the losers of that ad campaign. So I'm going to show you how to do that. So I do documents slashgraft slg growth agents and then claude and then I'm going to get that URL again and I'm going to say um use the graft MCP to pull in the data for this ad set that I'm about to provide from Facebook ads. Uh I want to look at uh the CPM data uh to see which ones are the lowest performing like the highest CPM price. All right. Um and then let's provide the ad set URL again. Uh let's go ad set. And then while that's happening, we can come in and check on the other ones. All right. So it's now built that entire bulk Facebook ad generator. Um or sorry, which one is this? This is the look one. Okay. So, it's made the updates uh to these ads. So, these are an entirely new ad set that it's basically pulling in. Um so, in I already did this, right, of like b like downloading these as a zip and bulk uploading them. Um so, we won't go through that process again. But this is how easy it is to basically make those variations. Um so, — and not just variations. These are variations based on pain points that people have said publicly. — Yes, exactly. Um, so it has pulled in basically uh the social dialogue that's happened. So the best ads that I'm seeing perform right now are basically you're selling outcomes or you're talking to the pain points, right? Um, so I'm just guiding it to focus on those things, pull me that information and then build the ad sets around those. So, while that just happened, um, this in the background just used the graph MCP, um, to pull in all of the low performers. So, uh, these are the let's look at the ones that have the highest CPM. So, these all have high CPM. So, I'm just going to tell it turn these off. Uh, I'm going to say, uh, use the Facebook ads API uh, to turn off uh, these ads with the this ad name. And so now it's just pulled in this live data uh from my data warehouse. And this isn't an MCP that's interacting with the Facebook ads API. I just want to like emphasize this. So it's not have you're not running into rate limits. Like again, you go and publish like a thousand ads and are running those variations. There is literally no way like if you're spending enough like there is literally no way that you're going to be able to analyze this data without a data pipeline and a data warehouse. And so this is like what we've built right at Graph. Um so anyways, uh the just to get back to the MCP thing, there's like this page nation problem. So like we see this all the time where people like, "Yeah, I plugged in a Facebook ads MCP. I'm interacting with it and then I realize that I'm only seeing like 5% of the data that I think I'm actually seeing, right? " Um but so coming back to this, I've now said, "Hey, turn these off. " So it went and it paused those ads for me. And so it just

to walk through what we just did to kind of reiterate this. We just did ideation. We just did bulk ad creation. We just analyze the data for the performers. We just turn those off and on based on that. And at this point you're probably starting to have the epiphany like, oh, I can just turn this in a into a repeatable process. And this is where I see all of this going basically is you're going to have these agents that are running on top of your live data. They're analyzing it, making decisions based off of like the model. So like for example, how I would run this is I would have a test campaign where I'm basically testing new creative constantly. I would have a cron job that's on a daily basis basically going and turning off the low performers and then the high performers they get bumped up into their own adets with their own dedicated ad budget for CPA action and then that whole thing could just run automatically in the background and then to track that I'd build out a dashboard that basically is showing me you know that information so I can come back to that like later on and see what's occurring there and then the other thing that I would then go do uh is uh like potentially have a conversation in the morning. Say for example, um, so I've got the graph MCP uh in uh my claude I like chat. Um, so this is also technically on my phone. Um, so like in the morning I'll wake up and be like how much traffic, let's just do this. How much traffic went to uh the or how many new users went to the homepage of the website yesterday. Uh, and I'll just say use um the graph MCP and uh Google Analytics 4. And we'll let that run. And so I can basically get a brief each morning, whatever those KPI metrics are that I care about, and have a conversation like with my data that's live and being synced continuously within the background. And you can give this to your whole team as well. Um, so that everybody on your team also has access to this both from within cloud code within their like whatever their harness is that they use whether that's chatbt or cloud and then also the ability to like do that tracking within like dashboardings or conversations. Now

coming back to all of this right we've just built out basically this whole like cycle of funnel. How would I now go deploy this? So this is where it gets like the most interesting. So, what I'm doing right now, say I wanted to turn this into an agent. Um, I'm using uh Railway for this. And the only reason is just because I saw a tutorial and that's how I've like figured out how to do this. So, Railway has a really robust API key. And say I wanted to spin up, for example, this bulk ad generator so that my other team members could use this, right? They could come back and basically like use this software that I've created. I can just tell Railway via cloud code, hey, spin this up into a um uh like a server that I can access um or I can just deploy this directly to Verscell um or any of these workflows that I have. So, say for example, we were talking about that LinkedIn um uh funnel. Uh let's go see which one of this it is. All right. So, this is the podcast software. Um, this is the image generator. This is the LinkedIn. So, say I want it I want this to be accessible in perpetuity in the background. I can then take this software that I co-work on with Claude and I say, "Okay, deploy this to a server on railway so that my whole team can basically use this action or always be adding like whenever they come across a LinkedIn post as an example, they could be adding that into the queue so that it just automatically goes into the email like filtering uh or sorry the email like cold email process. " Um, and this even goes further. like how I'm starting to use this G and I'm curious like to get your thoughts on this. So basically like I had to do some data analysis work the other day. Historically I would have like downloaded the information put it into Excel and then I do a bunch of pivot tables. Now instead what I did was I down I went to directly to the URL. I had it push it into a Postgress database that I on the fly created using the railway API. It just pumped everything in there. I then did the analysis together with Claude and then at that point I basically pushed from that Postgress database um uh the outputs uh to the location that I wanted. What used to would have it would have taken me probably 5 hours historically to like clean the data appropriately and I smashed that out in like probably 20 to 30 minutes. Um, and then as soon as I got done with that database, I just spun it down. And this was the most like interesting part of this was that like it was basically like on the-fly UI, on the-ly the epiphany I had was like on the-fly UIs, on the-fly databases, like on the-fly software is going to become the standard for these people that are like, you know, working at the forefront of this. So, um, yeah, man. I we could probably, you know, sit here and watch me work for hours if you wanted, but that's kind of everything I had that I wanted to show you today. The only other thing I'm just like keep getting asked like how do I do this? How like show me more technical details. Um uh I bought the uh domain gtmineeringcourse. com. I'm going to give this thing away for free to everybody who wants it. Um it'll be entirely public. Um we've already got a wait list of a hundred. Um, but basically I'm just in the process of building this out with like step by step and it's everything that I do I'm just going to document into one place. But anyways, uh, just throwing that out there as the last thing. But any I'd be

curious on like okay, you see you just watch this and you're in like a role at some company like how do you defend against this like with your job or do is it just like you need to learn this now and like I'm I want to hear your thoughts because I you're seeing way more than I am with everything. I'll tell you my I'll answer your question, but I want to start by saying like my biggest takeaway from all of this. — Yeah. — So, my biggest takeaway of all this is when you connected it with railway and I it's a glimpse into the future of autonomous marketing. So marketing, you know, all you basically what you've done like all those sort of uh jobs to be done were that were literally done by human beings, right? Um and then you kind of stitch it together. You know, if you've ever run ad campaigns before, you know how painful some of these things are. like — just uploading the ads alone that — I was like I have literally spent like I mean I'm just imagining uploading a thousand ad variations — like — dude — like it just PTSD on the pod you know like I did this early in my career it was absolutely painful — it was painful right it was painful and it's not fun at all uh removing and figuring out low performers uh add a creative not fun and you need to be on it. Um so the idea that you can you know make this an agent that's working 24/7 and that's managing all these different things is the dream. It is absolutely the dream. Autonomous marketing the dream I think. Uh who are the winners and who are the losers of this? The winners are going to be uh you know oneperson businesses, small teams. — Um and then maybe your head of marketing that currently you're getting paid $100,000 a year. Now all of a sudden if you can figure out how to do all these things, and this is where I'm answering your question, if you can figure out how to do all these things, um you know, you could make the case like, hey, triple, you know, triple my salary — easily, — right? like from a value perspective like if you can do all these jobs to be done you're one person instead of 10 there is a case to be made that you've made you know you've added a tremendous amount of value to your role so I think uh and then the unfortunate thing is I think a lot of these jobs to be done and this is where I disagree with a lot of people is I think that there are is going to be a lot of job loss uh real job loss like it just who anyone I think it's going to be extremely rapid job loss and then like I'm just thinking about like the early days of like what we saw you know in the industrial revolution and like the United Kingdom like they — I mean you basically have this displacement and then new roles get created but like in that interim still a lot of turmoil chaos it's going to be chaos and I yeah — like I have a friend who runs a startup and he texted me yesterday and he's like I think I'm going to fire 50 people and that's like 70% of his team, right? And I'm just over here and I'm like, "How, why, what, you know, tell me the reason. " He's like, "I think I can automate all of their jobs right now with like agent swarms. " And I'm like, "Okay, what's an agent swarm? " You know, cuz that's just this like throw like term that gets thrown around right now. And he's like, "Oh, it's just an agent that does like a specific thing. And then there's an agent that manages like that whole system. " And then like imagine like five pillars under like another agent. And I'm like, "Oh, I've built that. That's what an agent swarm is. " And I think that this is the thing that like people aren't real because now it just runs in the background. See, like I have one that's just like crawling LinkedIn like as we speak and it's like looking for like ICP and then it enriches them. It writes a personalized email and it cold emails them. — Yeah. — And like I don't think people understand like what's about to happen in like the next 12 months. So, and I I'm excited about it cuz I think there's like again what if you can build like it is incred like you're so capable right now. Especially if you have domain knowledge is the other thing that I'm finding is like just because you can like it can be built doesn't mean that you can build it because you don't have the vocabulary. Like when I look at like my co-founder Max, right, and his technical vocabulary, how he can describe the problem to a coding agent is so much more sophisticated than I'll ever be able to do it. And so the output quality that he can get from this is at a like a level that's in the top 10, top 1%. So if we translate that to something else, like say you studied graphic design for 20 years and like you've been working in the industry for 20 years, the vocabulary you have to describe something is going to be so much more sophisticated than what I have. So I'm like, this happened the other day where I'm like, I wanted to put texture on the back of an ad and I was like, how the [ __ ] do I do that in the background? I kept trying to describe it. It came out terrible. And then I found this like person giving a description of like how do you make it have a TV type texture, right? And it was like all of these, you know, specific like it was like a specific lexicon to describe the quality literally one shots it, you know, immediately like what I was looking for after that. And I had you have that realization that this actually becomes like the superpower. If you can incorporate these tools into what you're doing for work and have that domain expertise, that knowledge that's like on top of that, that actually is what makes you like incredible. And so it's the same thing that we've always seen where it's like, oh, you have one or two skills with like a deep tea and then you like that what's makes you valuable. This is like that but like you know times a thousand where it's like if you have the vocabulary you know and six things and you come to the this tooling and can basically express and explain like what you're needing or what you're looking for. It changes the entire system in my mind. But I I again I I'd love to hear your thoughts on like where you like and also just like what you're seeing within your own companies that you own and all like you know within the market as well. Well, I I think the reality is there's a lot of people, even if they have a ton of domain expertise, they don't know the tools and how to use the tools optimally yet. Now, I think that the tools are going to get so good that it the UX is going to be so easy at some point, but for right now, like for example, if we counted off all the tools that you mention in this podcast, you probably mentioned 17, no, more 20 tools. I'll include some of those in the show notes. — Yeah, I'll give you a list of them so that you can pass them on. — Phantom Blaster instantly. Like, I'm not even talking about like Claude Code and stuff like that. you like you've done your research, you found the tools and you know I think that's why a lot of people listen to this podcast. They try to you know it's a way to for them to learn a lot of that stuff. But the point is I have a lot of respect for the people that understand they have domain knowledge know that domain knowledge is super valuable and who are going out there and trying things. Um but yeah this you know the other sort

of takeaway I have from this podcast is your insight around APIs which I thought was really interesting. So like in the old way of like SAS tools and stuff like that you didn't I mean it was nice an API was a nice to have you know it was about how good is the software that you're using um UX how good is the brand how good is you know when you press this feature how quick is it how instant is it but now when you're living in a terminal for example and you're using MCPs to talk to LMS um you kind of you know The nice to have is actually the this the UI. the SAS. The nice to have is going to this website and look pretty. Ultimately, what you care about is the output and the thing is running. The agents are running, you know, 24/7. They aren't, you know, hogging tokens. The output is high quality. It's doing the thing that it's says it, you know, uh it should do. And I think uh Sam Alman said recently something about APIs. I think he said that every company is going to be an API company. — Totally. I align with this like now doing this like I there's a software like I just won't put them on blast because I know how big your audience is. But like — like there's a thing you can do in their UI. can't do in their API and I'm literally about to churn because I'm just like this is critical for me and now it feels archaic for me to go and interact with your [ __ ] a like UI to do this out like output that I'm like I need and I think that this is going to be like I think there's going to be companies that are entirely just like what I mean we literally had this conversation internally like do we build an a like a UI — like is that even a thing that we do or do we just build the tooling that enables you to see like where we see the puck going. And I think that like you know we had to come you know have a come to Jesus moment of like oh this is a like where we know the puck is going is entirely different than like where the normie like is right now and like the adoption cycle of this and so like having to like meet there to ride this. But like I mean it's very clear right like for example like with the graph MCP that's a live data feed. So I may I'm like when I'm like show me my Google ads and Facebook ads paid ad spend, right? That's a live data feed that's happening underneath the hood. It's like a it's like an endpoint that I'm hitting. It's literally on the fly generating a live data endpoint that I can pull from my data warehouse from. So with that I can basically build whatever I want on top of that. — And I'm like okay well let's just go build a custom dashboard like for what we need. But what we're finding is that like there's like kind of different use cases like the I guess how what I'm trying to say is like you're basically making your agent so that or whatever it is your tooling is so that it fits into any harness. So whether you're working from cloud iOS or chatgpt desktop or cloud code on you know in your terminal or like cursor or you know even the UI it's unified across that and people can basically take that wherever they want and get the same outputs. And so from a product standpoint this is how we're like you know focused on it and kind of moving forward. And I think it again what it comes down to though is like everything that like we're talking about this tooling piece like unless you know what to do. It's very hard to get it to like if I didn't know this these exact tool sets to use to like go and do these actions like here's how to do this LinkedIn thing as an example. There would be like a very low chance that it would be able to figure this out. It's totally possible it can. It's just like going to take longer. And you can do this now with like claude and with perplexity where you're like I'm trying to do X list five APIs that can help me do that. But I think this is how people are going to start building this and like I'm finding myself doing this where I'm like I have this like vision of a workflow and I'm starting with the final product and then I'm like working back and like you know basically piecing together how does this work and then having the agent go and build that for me. And so then this comes back to like how do agents discover the necessary infrastructure for and like how do you be the thing that it picks when it's going to build you know XYZ thing and like again these are the things I'm losing sleep over now as we're like getting deeper and deeper into this. Well Cody I appreciate you being so saucy with sharing all the stuff with us. We do appreciate it. I need you know it's been too long. you need to come back on again and share some ideas and stuff like that. So, I would love to have you um and uh have a ton of them, man. We could go for days about Chrome extensions right now. You can literally have cloud code oneshot them and just turn on Facebook ads in the background automatically. I also had an agent that was running an Etsy shop for a little bit. That was crazy. It just got banned two days ago, which was hilarious. So, — so people please, you know, let's beg Cody to come back on the pod and uh have a monsoon. This is an open invite. Cody, you can come on whenever you'd like. Share ideas. You get you definitely get my creative juices flowing. So, I appreciate you so much. And — appreciate it, G. Thanks for your time as always, man. I always love coming on. — Thank you.