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

2 Mar 2026 · 54 min · 23 chapters

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In short

Podcast Episode Summary: Claude Code Marketing Masterclass [from idea to making $$]

Podcast Details

  • Podcast Title: The Startup Ideas Podcast
  • Host: Greg Isenberg, CEO of Late Checkout
  • Episode Title: Claude Code Marketing Masterclass [from idea to making $$]
  • Guest: Cody Schneider, Growth Engineer and Co-Founder of Graph
  • Episode Description: A hands-on crash course in GTM (go-to-market) engineering using Claude Code, focusing on automating marketing tasks that traditionally required multiple team members.

Key Concepts and Discussions

  1. Introduction to GTM Engineering
  2. Definition: GTM Engineering is evolving from simple data enrichment workflows to orchestrating multiple AI agents that can perform various marketing tasks.
  3. Key Insight: One person can manage multiple AI agents to handle tasks that previously required large teams.
  1. Cody's GTM Toolkit

Cody presents a comprehensive toolkit for marketing automation:

  • AI/Agent Tools:
  • Claude Code
  • Perplexity API
  • OpenAI Codex
  • Marketing & Outreach:
  • Instantly AI (cold email)
  • Phantom Buster (LinkedIn automation)
  • Apollo API (data enrichment)
  • Million Verifier (email verification)
  • Advertising Tools:
  • Facebook Ads API
  • Nano Banana Pro (AI image generation)
  • HeyGen API (UGC/video generation)
  • Infrastructure & Analytics:
  • Railway (servers, databases)
  • Google Analytics 4
  • CRM & Communication:
  • Salesforce, Intercom, SendGrid API
  1. Live Demos of Agent Workflows
  2. Cody walks through several live demos, showcasing how to set up automated agents using Claude Code for various marketing tasks:
  3. LinkedIn Auto-Responder: Automating responses to inquiries.
  4. Bulk Facebook Ad Generator: Creating a large number of ad creatives quickly.
  5. Cold Email Campaign Automation: Using Instantly and Raphonic to streamline cold outreach.
  6. Data Analysis: Adjusting ad spend based on performance metrics.
  1. Key Takeaways from the Demonstration
  2. Scalability: Code-generated ad creative can be produced at minimal cost, allowing for rapid testing of messages.
  3. Domain Expertise: Understanding the nuances of a specific market allows for better utilization of AI tools and improved outputs.
  4. Deploying Autonomous Processes: Using platforms like Railway to turn one-time processes into ongoing operations that run 24/7.
  1. The Future of Marketing
  2. Autonomous Marketing: The concept of agents continuously working in the background to optimize marketing efforts is highlighted as the future of marketing.
  3. Job Market Transformation: Cody and Greg discuss the potential impact on job roles, with the possibility of reduced staffing needs as automation becomes more prevalent.
  1. Conclusion and Future Directions
  2. Cody announces plans to create a free course on GTM engineering to help others learn how to implement these strategies.
  3. Discussion of the evolving landscape of tools and the importance of APIs in enhancing marketing capabilities.

Important Timestamps

  • 00:00 – Intro
  • 02:02 – What Is GTM Engineering?
  • 09:56 – Live Demo: Cold Email Campaign Automation
  • 35:28 – Summary of GTM Engineering Workflow
  • 41:28 – The Dream of Autonomous Marketing
  • 48:50 – Building API-First Products and Agent-Native Infrastructure

Resources Mentioned

  • Website for Startup Ideas Database: [30+ Startup Ideas](https://gregisenberg.com/30startupideas)
  • Cody’s Startup: [Graph](https://www.graphed.com/)
  • Tools & APIs Discussed:
  • Phantom Buster, Instantly AI, Raphonic, Railway, Facebook Ads API, etc.

Social Media Links

  • Greg Isenberg:
  • [Twitter](https://twitter.com/gregisenberg)
  • [Instagram](https://instagram.com/gregisenberg/)
  • [LinkedIn](https://www.linkedin.com/in/gisenberg/)
  • Cody Schneider:
  • [Twitter](https://x.com/codyschneiderxx)
  • [YouTube](https://www.youtube.com/@codyschneiderx)

---

This summary encapsulates the core teachings and discussions from the episode, highlighting the innovative use of AI in marketing through the lens of Cody Schneider's expertise and practical demonstrations.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Setting Expectations with Cody Schneider

0:45 to 1:22

Cody outlines what listeners will learn about AI marketing tools.

“Cody, by the end of this episode, what are we going to learn?”

Understanding GTM Engineering and Its Evolution

1:22 to 4:26

Discussion about GTM engineering and how it has evolved in marketing.

“And can you list off a few of the tools and pieces of software we're going to use?”

Building Your Growth Agents Environment

4:26 to 7:22

Instructions on setting up the environment for growth marketing agents.

“And I'm building out this personal software for myself, for my job, for my my tasks, et cetera.”

Leveraging Cloud Code for LinkedIn Engagement

7:22 to 10:46

Using Cloud Code to automate responses on LinkedIn for marketing.

“And then optional is just installing the cloud code front end design skill.”

Creating a Facebook Ads Generator

10:46 to 12:44

Step-by-step building of a bulk Facebook ad generator using API keys.

“It's going to be a 1080 by 1080 pixel image.”

Utilizing Raphonic for Podcast Outreach

12:44 to 14:00

Exploration of scraping podcast data and automating email outreach.

“So the next thing that I want to build as an example is I'm going to basically pull information.”

Email Verification and Campaign Setup

14:00 to 16:30

Learn how to verify emails and plan campaigns effectively.

“It then sends it to Million Verifier to verify the emails.”

Creating Notion Documents for Giveaways

16:30 to 19:00

Discover how to create Notion documents for marketing giveaways.

“So this is the bulk, the creator as an example.”

Bulk Ad Creation with Code

19:00 to 23:00

Understand how to use code for generating bulk ads efficiently.

“that growth marketers wish they could have from like something like a Looker Studio or any of these other business intelligence softwares that they're using.”

Exploring Ad Formats and Variations

23:00 to 25:50

Learn about different ad formats and how to test variations.

“But this is a way to just like start immediately and then get that basically out in public.”
Show all 23 chapters

Building a LinkedIn Engagement Scraper

25:50 to 28:00

See how to create a LinkedIn scraper for engagement tracking.

“And we'll check in on this one to see where it's like basically added in its process of responding.”

The Complexity of Context Switching in Marketing

28:00 to 29:20

Learn about the challenges of managing multiple marketing tasks simultaneously.

“All right, so I'm going to turn on plan mode for that.”

Creating and Uploading Ads Efficiently

29:20 to 31:55

Discover how to bulk upload ad creatives into Facebook ad sets.

“So now I'm going to go back to Claude and I'm going to be like, I want now I want to buckle a bulk upload all of these ads as drafts into a Facebook ad set.”

Tracking Ad Campaign Performance

31:55 to 34:15

Understand how to build dashboards for analyzing ad performance data.

“got the ad set with destination URL, would you like just put them as a draft?”

Automating Marketing Processes with Data

34:15 to 36:39

Learn how to automate marketing tasks and analyze data using tools.

“So these are the let's look at the ones that have the highest CPM.”

Building an Accessible Marketing System

36:39 to 41:10

Explore methods to create a system for team collaboration in marketing.

“Say, for example, so I've got the graphed MCP in my cloud chat.”

Glimpse into Autonomous Marketing's Future

41:10 to 42:00

Gain insights into the future of marketing automation through technology.

“I'm going to give this thing away for free to everybody who wants it.”

The Challenges of Traditional Marketing

42:00 to 43:29

Discusses the painful aspects of traditional ad campaigns and the potential for automation.

“Marketing, what you've done, all those jobs to be done, were jobs to be done that were literally done by human beings, right?”

The Future of Jobs in Marketing

43:30 to 44:34

Explores the implications of automation on jobs in marketing and potential job loss.

“that currently you're getting paid$100 ,000 a year.”

Understanding Agent Swarms

44:35 to 45:56

Explains the concept of agent swarms in marketing automation and their functionality.

“And I 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.”

The Power of Domain Knowledge in Automation

45:57 to 47:20

Highlights the significance of domain expertise in effectively utilizing automation tools.

“you can build it because you don't have the vocabulary.”

The Importance of Tool Familiarity

47:21 to 48:35

Discusses the necessity of knowing and using various tools for maximizing productivity.

“It changes the entire system in my mind.”

APIs and the Future of Software

48:36 to 50:23

Examines the evolving role of APIs in software and the shift in user expectations.

“But yeah, the other takeaway I have from this podcast is your insight around APIs, which I thought was really interesting.”
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Transcript

Automatic transcript. May contain errors.

0:00How 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 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 with 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.

0:39You are in for a treat. Enjoy the episode and I can't wait to see you in there.

0:51Cody, 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 tools and pieces of software we're going to use?

1:27Yeah, absolutely. We're going to touch Phantom Buster. We're going to use Instantly AI. We're going to use Raphonic. We're going to use Railway.com. 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 going to use the The Facebook Ads API, as an example, as another way that we're going to interact via 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. So just to begin with, do you know GTM engineering or what it even means or where it comes from?

2:11No, honestly, I don't. 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 Slack or, 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.

2:51But 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 hardest, whether it's Claude 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 Claude 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.

3:31And just to give you like a taste of like what I'm talking about, We're going to do this today. Like build 100 Facebook ads, publish them to Facebook, build a dashboard to track that, analyze the data within cloud code, have it turn off the Facebook ads that are the low performers, have it bump up the Facebook ads 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. 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 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.

4:27And I'm building out this personal software for myself, for my job, for my my tasks, et cetera. 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?

5:04Right. Because that's going to be an unfair advantage. 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 graphed growth agents. So everything I do now or 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.

5:42So 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, uh, like intercom, it has our send grid API, my HubSpot API, my Cal.com API, my perplexity API, my Facebook ads API, 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. And so what 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.

6:27And 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. And this is what this like turns into is 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.

7:03When 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, you know, actually doing work, if that makes sense. So that's kind of one component of it. The last piece is then I would strongly 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.

7:37And then optional is just installing the cloud code front end design skill. I've just found this to be like one of those things that, 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 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 cloud code start responding to people on LinkedIn for me that have asked for an asset. So I've been doing all of these like giveaways, basically.

8:10Here's one that's an email triage. I wrote this giveaway, 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, I've got the Claude Chrome extension installed and I'm going to go and I'm going to say so I'm working out of this, that directory, right, that I've already been in. And I already have built this 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.

8:48So let's run the LinkedIn respond software. The 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 post URL and I'm going to put that in. And then I'm also going to select the Notion document that I want it to do as well. So I'm going to give it that. 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 and just make sure that it starts on the right path. And then once it's on the right path, then I'm going to go and basically start on the other things.

9:28And actually, while it's thinking, let's just go to these other places. So the next thing I'm going to do is I'm going to go or sorry, that just opened the LinkedIn profile. Let's bring that back over here. 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 while that's happening, what I'm going to do now is we're going to build a Facebook ads generator. So I've been doing this where it's basically a and I'll show you an example of what this looks like.

10:07Let's just go over to 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 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 made that that skill. So I'm going to tell it right now. I want you I want you to create a bulk Facebook ad generator.

10:48It's going to be a 1080 by 1080 pixel image. what's going to happen is I'll give you an example of what one of these ads looks like. And then we're going to go and build a template around that. And then I'll basically create a or give you variations of text, both titles and paragraphs that I want to be generated. It'll be a zip file that we download for the beginning. Can you make this into a UI as well so that we can visually see the creative. The first thing I just want to be able to see is like what the actual creative will look like. For this, you're going to use just React components. So I don't want you, or like just purely build it with React components.

11:35And then also to actually change those React components into a PNG that's downloadable, we're going to use HTML to Canvas. It's just a resource that you have available for you on that. Ask questions if you need. So I've just transcribed that. I'm now going to put Collade into 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. So it's going through these, and I believe it's now commenting. So that's happening. So we'll just let that run in perpetuity, respond back to them.

12:14All right. So next, I'm just going to just click through this quickly. I'll share it now. I'll share it after setup. And then input method, form-based 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 window. So I'm going to do documents, forge slash graphs. Let's go to agents and then demo. All right. So the next thing that I want to build as an example is I'm going to basically pull information. So I just I just did this, actually, so we could like talk through and about what this ends up looking like.

13:07but basically scraped all of the podcasts that were within the marketing category and then built a workflow that goes in 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. That's crazy. Sorry, what is instantly? Yeah. So instantly is a cold email software. And so this is 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 I can think about this, like on the, it's basically like my manual workflows that I would do previously.

13:47We'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 you have the Raphonic API key. I want you to build a software that scrapes podcast host emails from Raphonic. It then sends it to Million Verifier to verify the emails. And then it also will then send it to an instantly campaign. I'll provide the instantly campaign that I want it to send to. All right. So I've got that now. I'm going to put that into plan mode and let that run as well. And then we have that as its own window.

14:31And so while these two are working again in the background, we can then go and actually do like some other work. So let me get this going and I'll just say, cool. So that's a plan. All right. So now 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. And I'm just going to show you some of the things that like are like capable with this. So, for example, I have it attached to Notion and I've basically given it a an example of like, how do we write a like a Notion like giveaway?

15:18Right. 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 take this URL and then copy this over. And I'm going to say, okay, write a or create a Notion document 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 our structure. Look for the skill that has this. I'm going to provide context on what that should include. You should incorporate stuff that we have within the repo, like the documentation that I have in the repo on how to do this.

16:03All right. And so I'm going to copy this over and 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. So in that folder, I've already created the 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, the creator as an example. So that's going to continue working on that bulk Facebook ad generator in the background. While that's happening, let's go to graphs, growth agents, and then I'm going to start clog code within there.

16:46and now I'm going to start locally the bulk Facebook ad generator. I just want to bring that up within 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 momentarily. But the goal here is basically what we're trying to do is I'm trying to create as many different variations of these ads as possible. So how did I make this ad? This is entirely code. And I think this is something to like double click on. Everything in here is just it's just React components like that.

17:33This 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 HTML. So we're going to go through this together, though. How do we actually 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 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 competitors or other software companies are doing in your category.

18:13This 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. It's entirely code. The other way you can do this is with something like Nano Banana, where you're like going and bulk generating these, right? 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 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, actually, let's restart that.

18:57I 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 softwares that they're using. We've been focusing on like 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. You can also source from YouTube. You can also source from 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 Nano Banana Pro, like the best image model that exists?

19:41Like 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, 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 mana, uh, nano banana, you should look at something like, I think it's like Kai AI, I believe.

20:23Or yeah, Kai.ai. And you can just like, basically it's one of these bulk buys. 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

20:55but 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, 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 pain points that you can kind of get a good understanding of this is going to bring you$1.50 when you put from$1.50 to$3 once you figure out the ad.

21:39So you're kind of saying maybe it's best to get as many ads as possible, start using those, figure out the one or two or three creative that actually crushes, and then go ahead and go crazy with spending tokens. Totally. I'm just trying to find 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. The this is like the big piece of this, especially with like how much we can do on the like. 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.

22:29And like we're going to get to that in a second. But the main thing I want to emphasize with it is like this is malleable and flexible and 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 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 public.

23:11I also think that like the same ideas can go into different formats. Like we're all already seeing this where it's like, cool, I made a static format. I'm now going to port that over to a UGC format. And I'm sending that to the HeyGen 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 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.

23:50It 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 isn't and promote what is right. And this is 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. to do. So yeah, is there questions about that I can try to answer?

24:24No, 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 downloaded.

25:11So here's all those variations. I'm going to say now, okay, now use the bulk or let's do the transcription. Okay. Now use the bulk Facebook ads generator to go and create these variations. Put them in the forward slash bulk.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.

25:45Perfect. We're going to let that go as well. So I'm looking at the scaffolding to build a bulk ad generator. And we'll check in on this one to see where it's like basically added 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. 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 to just kind of get it moving. But I would then open up another one of these tabs and I would start on the next project.

26:20So 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 profile or the LinkedIn post, I want to pull them out and then send them to a 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 do that in a second let me just get this up give that its own section by the end of this podcast you have like a hundred this is literally how i'm working now this is like i'm just jockeying 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.

Read the full transcript

27:13And I'll talk about that in a second on like how you can on demand create databases and on demand create the servers 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 basically within Slack, 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 engagers. And then it's going to take those LinkedIn profiles. We're going to go and enrich those with the Apollo API.

27:51And 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 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 to screen and realizing that you're an agent jockey and that you're trying to get context on each one, you're like, okay, what was this one doing again?

28:29and I find that the context switching is actually difficult. I did as well, but now it's like, now it feels 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 because I'm like, I need more RAM. I need more ability to do this in the background. Which just sounds so stupid. Yeah. Like and comment this video so that, you know, I could send some YouTube AdSense revenue to Cody so we can get some more RAM.

29:12It's all ridiculous. This guy needs some RAM. No, man. It's like I'm just realizing like what this turns into. So, okay. We made all those pieces of ad creative, right? 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 now I want to buckle a bulk upload all of these ads as drafts into a Facebook ad set. Here is the here's where the folder is locally for the creative. And I'm going to 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.

30:03And then let's go back to Facebook. And I have this 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. Well, it's going to basically bulk upload all of those pieces of creative into that ad set. So while that's happening, I'm now going to go and I'm going to 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 going to go over to graphed and I'm going to be pull up Facebook ads as the data source. And then I'm going to say this is the ad set ID.

30:58Make a dashboard showing clicks over time. Also have a scorecard that are 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 add 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'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 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 got the ad set with destination URL, would you like just put them as a draft?

32:09So 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 graft forward slash growth agents and then Claude. 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 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 to these ads.

33:21These are an entirely new ad set that it's basically pulling in. So I already did this, right, of 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. 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 talking to the pain points. Right. So I'm just guiding it to focus on those things, pull me that information and then build the ad sets around those.

34:07So while that just happens, And this in the background just used the graphed MCP 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 this ad name. And so now it's just pulled in this live data 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, again, you don't publish like a thousand ads and running those variations.

34:51There 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 at Graft. So anyways, 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 are like, yeah, I plugged in a Facebook ads MCP. I'm interacting with it. And then I realized that I'm only seeing like 5 % of the data that I think I'm actually seeing. Right. Right. But so coming back to this, I've now said, hey, turn these off.

35:26So it went and it paused those ads for me. And so it's just 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 analyzed 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 model.

36:08So 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 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 that information so I can come back to that later on and see what's occurring there. And then the other thing that I would then go do is potentially have a conversation in the morning, Say, for example, so I've got the graphed MCP in my cloud chat.

36:54So this is also technically on my phone. 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 the or how many new users went to the homepage of the website yesterday? And I'll just say use. The graphed 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 cloud code within their like whatever their harnesses that they use, whether that's chat, TBT or cloud.

37:42And 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 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.

38:20Right. 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 like a server that I can access. or I can just deploy this directly to Vercel 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. 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 the 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 sorry the email like cold email process um and this even goes further so 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 directly to the url i had to push it into a Postgres database that I on the fly created using the Railway API.

39:58It just pumped everything in there. I then did the analysis together with Claude. And then at that point, I basically pushed from that Postgres database the outputs to the location that I wanted. It would have taken me probably five hours historically to 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. 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 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.

40:49So, yeah, man, 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 to show me more technical details. I bought the domain gtmenginineeringcourse.com. I'm going to give this thing away for free to everybody who wants it. It'll be entirely public. I'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 it into one place.

41:24But anyways, uh, just throwing that out there as a last thing, but any, I'd be curious. I'm like, okay, you see, you just watch this and you're in like a role at some company. Like how do you, how do you defend against this? Like with your job or do you, is it just like, you need to learn this now. And like, I'm, I want to hear your thoughts because I'm, you're seeing way more than I am with everything. I'll answer your question, but I want to start by saying my biggest takeaway from all of this. My biggest takeaway of all this is when you connected it with Railway. It's a glimpse into the future of autonomous marketing.

42:04Marketing, what you've done, all those jobs to be done, were jobs to be done that were literally done by human beings, right? And then you kind of stitch it together. If you've ever run ad campaigns before, you know how painful some of these things are. Just uploading the ads alone. I was just kidding. I was like, I have literally spent, I mean, I'm just imagining uploading a thousand ad variations. Dude. Don't give me PTSD on the pod. Straight up. I did this early in my career. It was absolutely painful. It was painful, right? It was painful. And it's not fun. It's not fun at all. Removing and figuring out low performers at a creative, not fun, not fun.

42:58And you need to be on it. So the idea that you can make this an agent that's working 24-7 and that's managing all these different things is the dream. It is absolutely a dream. Autonomous marketing, the dream. I think who are the winners and who are the losers of this? The winners are going to be one person businesses, small teams. 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, you could make the case like, hey, triple my salary.

43:49From a value perspective, 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 added a tremendous amount of value to your role. 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 is going to be a lot of job loss. Real job loss. I think it's going to be extremely rapid job loss. And then, I'm just thinking about the early days of what we saw in the Industrial Revolution and the United Kingdom. I mean, you basically have this displacement and then new roles get created.

44:34But like in that interim, still a lot of turmoil. It's going to be chaos. It's going to be chaos. And I 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 percent 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, OK, what's an agent swarm? you know because that's just this like throw like term that gets thrown around right now and it'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 realizing because now it just runs in the background so 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.

45:32It writes a personalized email and a cold emails. Yeah. And like, I don't think people understand like what's about to happen in like the next 12 months. So, and I'm excited about it. Cause I think there's like, again, 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 I'll ever be able to do it.

46:12And 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 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 a TV type texture?

46:45Right. 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.

47:17This 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 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 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.

47:55Now, I think that the tools are going to get so good that the UX is going to be so easy at some point. But for right now, for example, if we counted off all the tools that you mentioned 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. I'm not even talking about Claude Code and stuff like that. You've done your research, you've found the tools. I think that's why a lot of people listen to this podcast. It's a way for them to learn a lot of that stuff.

48:34But 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 there and trying things. But yeah, the other takeaway I have from this podcast is your insight around APIs, which I thought was really interesting. so like in the old way in the old way of like SaaS tools and stuff like that you didn't, I mean it was nice, an API was 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 MCPs to talk to LLMs the nice to have is actually the UI the nice to have is the SaaS 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 24-7 they aren't hogging tokens the output is high quality it's doing the thing that it says it should do and I think Sam Altman said recently something about APIs I think he said that every company is going to be an API company.

50:02Totally. I align with this. Like now doing this, like there's a software, like I just won't put them on blast because I know how big your audience is. But like there's a thing you can do in their UI I 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 fucking UI to do this output that 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 like what it I mean, we literally have this conversation internally. Like, do we build an A like a UI?

50:38Because that's 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 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. For example, with the Graph MCP, that's a live data feed. So when I'm like, show me my Google ads and Facebook ads, paid ad spend, that's a live data feed that's happening underneath the hood.

51:15It'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 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 it fits into any harness. So whether you're working from cloud iOS or chat GPT desktop or cloud code, you know, in your terminal or like cursor or, you know, even the UI, it's unified across that.

51:58And 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, 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.

52:30It 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 lists, 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 how do agents discover the necessary infrastructure?

53:03And how do you be the thing that it picks when it's going to build XYZ thing? And again, these are the things I'm losing sleep over now as we're 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. It's been too long. It's been too long. you need to come back on again and share some ideas and stuff like that. So we'd love to have you.

53:31Have 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 people, please, you know, let's beg Cody to come back on the pod. and have him on soon. This is an opening by Cody. You can come on whenever you'd like, share ideas. You definitely get my Creative Juices following. So I appreciate you so much. Appreciate it, G. Thanks for your time as always, man.

54:03I always love coming on. Thank you.

From the publisher

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

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