Claude Code marketing masterclass [from idea to making $$]

Mar 2, 202654 minTranscript available

Show notes

I sit down with Cody Schneider, growth engineer and co-founder of Graph, for a live, hands-on crash course in GTM (go-to-market) engineering powered by Claude Code. Cody walks through how he runs multiple AI agents simultaneously to handle everything from bulk Facebook ad creation and LinkedIn outreach to cold email campaigns and live data analysis - tasks that used to require a team of dozens. By the end of the episode, you'll have a full understanding of how to set up your own agent workflow, the specific tools involved, and why domain expertise paired with AI is the real competitive advantage right now. Cody’s GTM Toolkit: AI/Agent Tools: Claude Code, Perplexity API, OpenAI Codex Marketing & Outreach: Instantly AI (cold email), Phantom Buster (LinkedIn scraping/automation), Apollo API (data enrichment), Million Verifier (email verification), Raphonic (podcast host scraping): Advertising: Facebook Ads API, Facebook Ads Library (competitor research), Nano Banana Pro (AI image generation), Kai AI (bulk image generation), HeyGen API (UGC/video generation) Infrastructure & Deployment: Railway.com (servers, on-the-fly databases/Postgres), Vercel (deployment) Data & Analytics: Graphed / Graphed MCP (data warehouse, live data feeds), Google Analytics 4 CRM & Communication: Salesforce (mentioned as comparison), Intercom, SendGrid API, Slack, Cal.com API Productivity & Design: Notion, Super Whisper (voice transcription), Claude Code front-end design skill, HTML to Canvas (for converting React components to PNGs) Timestamps 00:00 - Intro 02:02 - What Is GTM Engineering? 05:12 - Setting Up Your Agent Workspace & Environment File 07:54 - Live Demo: LinkedIn Auto-Responder 09:56 - Live Demo: Bulk Facebook Ad Generator 12:31 - Live Demo: Cold Email Campaign Automation (Raphonic + Instantly) 14:47 - Live Demo: Creating Notion Documents via Claude Code 16:46 - Live Demo: Bulk Ad Creative Generator 26:05 - Live Demo: LinkedIn Engagement Scraper to Cold Email Pipeline 28:16 - Context Switching Across Tasks 29:19 - Live Demo: Bulk Ad Generator 31:41 - Live Demo: Data Analysis: Turning Off Low-Performing Ads 35:28 - Summary of GTM Engineering Workflow 37:48 - Deploying Agents and On-the-Fly Databases with Railway for Data Analysis 41:28 - The Dream of Autonomous Marketing 48:50 - Building API-First Products and Agent-Native Infrastructure Key Points GTM engineering has evolved from Clay-style data enrichment workflows into full-stack agent orchestration - where one person running multiple Claude Code agents can replace the output of a large team. The practical setup starts with a single folder containing your environment file (API keys for every tool in your stack), transcription software like Super Whisper, and Claude Code. Cody demonstrates running seven or more agents simultaneously across LinkedIn outreach, Facebook ad creation, cold email campaigns, Notion document generation, and live data dashboards. Code-generated ad creative (React components exported as PNGs) costs nearly nothing to produce at scale and allows rapid testing of messaging variations before investing in polished visuals. Deploying proven workflows to Railway turns one-off agent tasks into always-on, autonomous processes that run 24/7. Domain expertise is the real multiplier - the vocabulary you bring from your field determines the quality of output you can extract from these tools. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CODY ON SOCIAL: Cody’s startup: https://www.graphed.com/ X/Twitter: https://x.com/codyschneiderxx Youtube: https://www.youtube.com/@codyschneiderx

Transcript

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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 quad 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 saw see and by the end of the episode you're gonna 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 The starter by this Cody by the end of this episode What are we gonna learn? You're gonna 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 gonna 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 gonna use your voice and have agents do work for you in the background man. It's gonna be crazy Okay, and can you list off a few of the piece tools and pieces of software we're gonna use like it Yeah, absolutely. We're gonna touch phantom buster. We're gonna use instantly AI. We're going to use the verphonic we're going to use Railway comm we're also going to use A bunch of different other tooling. That's in my go-to-market stack. So We're also just gonna use like the Facebook ads API as an example as another Just like you know way that we're gonna interact via this this agent harness cloud code All right, and we're gonna live build it and everyone well, you're gonna watch you're gonna watch a whole thing. So let's get into it Cool sweet man, so just to begin with G do you 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 feels like a buzz it's just a buzzword, right? So this is actually like made up by clay.com which is hilarious 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 slacker You know, it could be like cold calling 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 And so let me screen share and I can just like show you like what we're seeing this work as now But basically like what we're like seeing is that's 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 hardest Whether it's clawed code or it's codex or any of these tools and so my job suddenly turns into like I have ideas I pass them on to clawed code and then I'm basically polishing the end product and it enables me to do like Things at scale that 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 hundred Facebook ads publish them to Facebook Build a dashboard to track that analyze the data with in clawed code Have it turn off the Facebook ads that are the low performers have it bump up the Facebook ads are that are the best performers to a new ad set with its own dedicated Budget and everything that I just described that happening and like literally, you know, 30 minutes So I'm anyways again not really sleeping 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 you live like I can get this thing to do work for me Then you suddenly have this like You come to 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 custom made 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 have to go deeper on anything no I'm if you can teach me this by the end of that episode I mean that's sort of that 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 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 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 I can open up this example one um, so it has Like intercom it has our send grid API my HubSpot API my Cal.com API my perplexity API my Facebook ads API Insta 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 what this translates into or like why am I'm why you start here is you're basically Starting to interact with everything that you do on a daily basis via the API's 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 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 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 clawed 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 just suggest getting something like a super whisper or Any of these other transcription 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 clawed 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 It's actually like great. That's cool. You've just built this what do you actually do to go I 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 Clawed 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 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 clawed code or sorry, I've got the clawed 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 Let's run or we're going to transcribe it. So let's run the length in uh respond software The uh 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 the notion document that I wanted 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 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 places So the next thing I'm going to do uh is I'm going to uh go uh or sorry it that just opened the LinkedIn profile. Let's bring that back over here Um, so this is now running 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 well 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 you'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 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 ended up 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 1080 by 1080 pixel image Um what's going to happen is 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 basically uh create a uh 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 uh for the first thing I just wanted to be able to see is like what the actual creative will look like For this you're going to use uh just react components So I don't want you or like I just purely build it with react components and then uh also To actually change this react components into a png that's downloadable. We're going to use um html to canvas. It's just uh You know resource that you have available for you on that ask questions if you need so I just transcribed that I'm now going to put cod uh into uh plan mode and I'm just gonna 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 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 um I'm just gonna just click through this quickly um i'll share it now. I'll share it I'll share it after setup and then input method form base UI. Let's do both and then I'm gonna 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 slot code again within an entirely uh another different or another window. So I'm going to do documents forward slash graft Let's go to uh agents uh and then demo All right, so the next thing that I want to build as an example um is uh, I'm going to 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 podcast that we're 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 way that's crazy. Sorry. What is instantly? Yeah, so instantly is a cold email software And so it's just a part of my stack So it's one of the things that like is within that environment file that allows for me to build on top of and so what I'm Like how 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 refonic api key um, I want you to build the software that scrapes podcast host emails from refonic it then sends it to Million verifier to verify the emails and then it also will then send it to an instantly Uh, 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 gonna put that in the plan mode and let that run as well And then we have that as its own window and so while these two are working again in the background Um, well, 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 a plan. All right, so now get 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 An example of like how do we write a uh, like a notion like giveaway, right? So I'm gonna go and we're gonna create one of these together right now because I need to actually accomplish this So I'm gonna give take this URL and then copy this over And I'm gonna say okay um, write a uh, or create a notion document Uh Based on you look at you typing with your hands. I know the problem here we can do it in the the transcription of so create a notion document based off of uh, uh, uh, our like current or you know our our structure look for the skill that has this I'm gonna provide context on what that ink should include um, you should uh, uh incorporate Stuff that we have we haven't within the repo like the documentation that I have in the repo and how to do this All right, and so I'm gonna copy this over Let that run and now it's gonna 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 gonna go in there just to show you like what you can do with this once that it's it's like you've actually gone through this process of like Zero to one making this so this is the bulk uh, the creator as an example so That's gonna continue working on that bulk Facebook ad generator in the background while that's happening Let's go to graphs uh growth Agents and then I'm gonna start clog code within there And now I'm going to start locally the bulk Facebook ad generator. I just want to bring that up uh within uh, my uh, uh, local uh, so that I can go create some ads So again, it's already created the software for me. I'm now coming back to it And I'm gonna talk through the whole process of the actual creation of this because it'll just like make more sense momentarily 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 double click on um everything in here is or just it's just react components like that This is 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 forward slash or forward slash bulk forward slash a HTML So we're gonna go through this together though. How do we actually like do this process? So I 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 Adam trying to build a way to do this 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 that before and after But this whole thing like everything you see here Is just code Entirely code um the other way you can do this is with something like nano banana 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 the pain points that you see Or sorry, uh, actually let's restart that I want you to use the perplexity API and go and scrape reddit for the pain points and the outcomes That growth marketers wish they could have from like something like a looker studio Or any of these other business intelligence software's that they're using uh, we be Focusing on like the 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 onto one location you can also source from youtube you can also source from twitter if necessary So i'm going to have a 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 Yeah, I'm just doing this purely like this was just a way I thought about doing it like absolutely the name banana thing um The 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 yeah if you're going to use the man a nano banana you should look at something like um I think it's like chi AI I believe uh Ork yeah chi Dot AI um and you can just like base space one of these bulk buys um but we've been using that for these bulk generations This that i'm doing cost me nothing Like it's literally on 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 can go and create a thousand ad variations right now g and like This literally costs nothing Oh But again, well that's 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 three dollars out once you get that Uh, you can make it well there's 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 chronicle ugly ads that just speak to the i see in the pain points that you can kind of get a good Understanding if this is going to bring you a dollar 50 Uh, when you put in a dollar and then you can get it from a dollar 50 to three dollars 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 this I guess a different like I'm just trying to find like the the format or the angle that's going to be most receptive I'm gonna 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 gonna get to that in a second, but the the 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 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 agent api to pull in that 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 gonna build these tools That an agent is going to have and then it's gonna 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 directly to Facebook Which I'm going to show you in a second It's going to then analyze what is working and then it's going to like Basically turn off what is in and promote what is right and this is like everything I'm going to show you today is that 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 can try to answer no, let's Let's keep cooking awesome. All right, so this keeps like trying to scrape things. I'm just going to be like Instead, I want you to just brainstorm pain points that people have with data reporting specifically the unification of the data into multiple locations Cool, so we're going to do that 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 while that's happening We'll just get this to start downloading and that Facebook ads API is going to allow for us to bulk upload all of those pieces of creative that we just download it So here's all those variations. I'm going to say now okay now use the bulk or let's do that transcription Okay, now use the bulk Facebook ads generator to go and create these variations Put them in the forward slash bulk bulk at html 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'll 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 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 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 engagement scraper So I'm going so basically at people that engage on the LinkedIn pro or the LinkedIn posts 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 so I'll I'll do that in a second. Let me just get this up Give that its own section By the end of this podcast you're going to have like a hundred that's 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 like if I can figure out okay, this is this 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 the servers so that this software starts running in perpetuity So We're going to do this one All right, so I want to make a workflow where it's a uh, I basically within slack um, you'll do forward slash LinkedIn post and 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 engages 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, 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 Well, let me get context on what this one is again This is the craziest part when you're going from screen like Screen to screen and Realizing that you're an agent jockey. Yeah, and then you're trying to get context on each one You're like, okay, what was this one doing again? Well, 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 it 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 because I'm like I need more RAM. I need more Like ability to do this in the background I'm just just out so totally Yeah Like so like and comment this video so that you know I could send some youtube add sense revenue to Yeah, you can get some more RAM It's all ridiculous. I need some ram. No, man. We it's like I just realizing like what this turns into so okay We bet 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 gonna go back to cloth and I'm gonna be like I want Now I want to buckle a bulk upload all of these ads as drafts into a Facebook ad set Here is the you are here's where the folder is locally for the Creative and I'm gonna provide the Facebook ads ad set 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 Ad set that I've already created for this demo That's basically just here And I'm just gonna paste in this URL and so now Here's that URL It's gonna basically bulk upload all of those pieces of creative into that ad set So while that's happening, I'm now gonna go and I'm gonna create a dashboard about this So let's just pull out the ad set ID Let's do the ad set ID and I'm gonna go over to graft and I'm gonna be Pull up Facebook ads as the data source And then I'm gonna be say This is the ad set ID Make a dashboard showing clicks over time Also have a scorecard that or sorry I didn't do the transcription make a dashboard showing clicks over time as a line chart also Within that line chart can you include The cost and the CPC as lines as well and then at a scorecard also that has total spend total traffic or total clicks As another scorecard. So those are two separate ones And then I want you to also show demographic data as a bar chart Of showing the ages so that that's its own separate chart That's a bar chart basically showing the impressions by the age categories So I'm gonna let that run in the background We'll come back to that in a second But now that I'm This campaign that's running and I'm trying to track what's happening within it I can basically go and Like build out a tracking dashboard for this The other thing that I can do so once it's got the ad set with destination URL would you like just put them as A draft so While that's working I can also analyze what is happening in that specific ad campaign 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 forward slash graph forward slash Growth agents and then clawed And then I'm going to get that URL again and I'm going to say Use the graph mcp to pull in the data for this ad set that I'm about to provide from Facebook ads I want to look at the cpm data to see which ones are the lowest performing like the highest cpm price All right, and then let's provide the ad set URL again Let's go ad sets 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 Or sorry, which one is this? This is the Look one. Okay, so it's made the updates to These ads these are an entirely new ad set that it's basically pulling in So and I already did this right of like ball like downloading these as a zip and bulk uploading them 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 So it has pulled in basically 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 you're talking to the pain points right Um, so I'm I'm just guiding it to focus on those things pull me that information and then build the ad sets around those So well that just happens um this in the background just use the graph mcp um to pull in all of the low performers so 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 I'm going to say Use the Facebook ads API to turn off 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 in the rate limits Like I again you go and publish like A thousand ads and 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 in the data warehouse. And so this is like what we've built right I graphed um so anyways uh 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 realized that I'm only seeing like five percent 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's just just to walk through what we just did just 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 into a repeatable process And this is where I see all of this going basically is you're going to be 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 the model so like for example how I would run this as 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 ad sets with their own dedicated ad budget for a 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 going to occur in there And then the other thing that I would then go do is Like potentially have a conversation in the morning say for example So I've got the graph mcp in my clawed I Like chat So this is also technically on my phone So like in the morning I'll wake up and be like how much traffic Well, let's just do this how much traffic went to the or how many new users went to the homepage of the website yesterday And I'll just say use The graph mcp and google analytics for 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 seen continuously within the background And you can give this to your whole team as well So that everybody on your team also has access to this both from Within clawed code with in there like whatever their harnesses that they use whether that shats Your 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 I'm using 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 clawed code hey spin this up into a Uh, uh, like a server that I can access Or I can just deploy this directly to for sale Um, or any of these workflows that I have so say for example, we were talking about that linkedin Funnel, 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 wanted I want this to be accessible and perpetuity in the background I can then take the software that I co-work on with clawed 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, sorry the email like cold email process um and this even goes further So like how I'm starting to use this gene. I'm curious like 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 doubt I went directly to the URL I had to push it into a postgres database that I on the fly created Using the railway API It just pumped everything in there I then did the analysis together with clawed and then at that point I basically pushed from that postgres database um The outputs uh to the to the location that I wanted what have used it would have it would have taken me probably five hours historically to like Clean the data appropriately and I smashed that out in like probably 20 to 30 minutes And then as soon as I got done with that database. I just spun it down hahaha And this was the most like interesting part of this was that like it was basically like on the fly UI on the fly or the 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 I 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 I bought the domain gtm engineering course.com I'm going to give this thing away for free to everybody who wants it It'll be entirely public um already got a wait list of a hundred 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 is no thing But any I'd be curious on like okay, you see you just watch this and you're in like a role some company Like you how do you defend against this like with your job or do you just like you need to learn this now And like I want to hear your thoughts because I you're seeing way more than I am with everything I'll tell you my 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 real way 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 jobs to be done that were literally done by human beings right Um, and then you kind of stitch 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 I was like I have literally spent like I mean, I'm just imagining uploading a thousand ad variations Like dude Like it just don't give me a key on the pod It's straight up like I did this early in my career was absolutely painful It was painful right it was painful and and it's not fun. It's not fun at all uh Removing and figuring out low performers at a creative not fun 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 dream autonomous marketing the dream I think uh Who are the winners and who are the losers of this the winners are gonna be uh, you know one person businesses small teams um And then maybe you're you're head of marketing that currently you're getting paid a hundred thousand dollars 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 an intramenous amount of value to to your role So I think uh And then the unfortunate thing is I think a lot of a lot of these jobs to be done And this is where I disagree with a lot of people is I think that there is going to be a lot of job loss uh real job loss like it just Who anyone is 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 the industrial revolution and like United Kingdom like they I mean you basically have this displacement and the new roles get created but like in that interim still a lot of turmoil it's gonna be chaos It's gonna 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 gonna fire 50 people And that's like 70% of his team right And I'm just over here and I'm like how why well, 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 because that's just like throw up like term that gets thrown around right now And is 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 I 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 really because now it just runs in the background 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 a cold emails then Yeah, and like I don't think people understand like what's about to happen and like the next 12 months so and I'm excited about it Because I think there's like again, well if you can build like it is incredible 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 all 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 percent 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 fuck 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 of TV type texture Right, and it was like all of these you know specific like it was like a specific lexicon to describe it to call Literally one shots it, you know immediately like what I was looking for after that And I have 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 again 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 gonna get so good that It that you access can be so easy at some point But for right now like for example if we if we Counted off all the tools that you mentioned in this 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 the list of them so that you can pass them out Phantom Blaster instantly like I'm not even talking about like Claude code and stuff like that you 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 that domain knowledge is super valuable and who are going out out there and trying things But yeah, this you know the other sort of Take away I have from this podcast is You're inside around API's which I thought was really interesting so like In the old way in the old way of like SAS tools and stuff like that you 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 How good is the 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 mcp's to talk to lm's You kind of you know, the nice to have is actually the the UI The nice to have is 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 says that you know It should do and I think Sam Altman said recently something about API's I think he said The 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. I can't do in their API 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 fucking a you like UI To do this outcome like output that I'm 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 what it I mean We literally have this conversation internally like do we build an ape like a UI Because 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 go And I think that like you know We had to come you know have a come to Jesus moment of like oh this is uh 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 ads 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, 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 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 fits into any harness So whether you're working from clawed iOS or chat GPT desktop or clawed 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 if I didn't know 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 gonna take longer And then you can do this now with like clawed and with perplexity where you're like I'm trying to do x lists five APIs that can help me do that But I think this is how people are gonna 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 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 get a deeper and deeper into this Well Cody, I appreciate you being so saucy with with sharing all the stuff with us. We do appreciate it I need you know, it's been too long. It's been too long. You need to come back on again and And share some ideas and stuff like that. So we'd love to have you um, and uh Have a ton of them man you can go for days about chrome extensions right now You can literally applaud code one shot 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 have him on tune This is an opening by Cody you can come on whenever you'd like share ideas you get you definitely get my creative Joseph Fallon. So I appreciate you so much and Appreciate it. Thanks for for your time as always man. I always love coming on Thank you