Chapter 1: What is the main topic discussed in this episode?
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.
Chapter 2: What is GTM Engineering and why is it important?
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.
Chapter 3: How do you set up your agent workspace for marketing automation?
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.
Chapter 4: What are the steps to automate LinkedIn outreach?
It's my friend Cody Schneider. He's an absolute legend when it comes to vibe marketing and growth marketing.
Chapter 5: How can AI tools enhance Facebook ad generation?
This episode is saucy. And by the end of the episode, you're going to feel pretty confident you know what to do. You are in for a treat.
Chapter 6: What is the process for creating automated cold email campaigns?
Enjoy the episode and I can't wait to see you in there. Cody, by the end of this episode, what are we going to learn? You're going to learn how to build your first agents that allow for you to go and build personal software to do marketing, sales, growth, customer experience for yourself.
And by the end of this, you're going to come out of it with this whole new tool set that allows for you to do all of the middle work without touching a keyboard. You're just going to use your voice and have agents do work for you in the background, man. It's going to be crazy. Okay, and can you list off a few of the tools and pieces of software we're going to use? Yeah, absolutely.
We're going to touch Phantom Buster. We're going to use Instantly AI. We're going to use Vrafonic. 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 like the Facebook ads API as an example, as another just like, you know, way that we're going to interact via this this agent harness cloud code.
All right. And we're going to live build it and everyone. Well, you're going to watch you're going to watch the whole thing. So let's get into it. Cool.
Chapter 7: How do you analyze data to optimize ad performance?
Sweet, man. So just to begin with, 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.
Chapter 8: What does deploying agents with Railway look like?
So this is actually like made up by clay dot 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. it's quickly evolving into something entirely different. Um, and so let me screen share and I can just like show you like what we're seeing this work as now. Um, but basically like what we're like seeing is that the, can you see this? All right. Yeah. Cool.
So how I'm thinking about it now is like basically everything that used to be the middle work that we would do, like the, 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 cloud 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 cloud 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 within clog code, have it turn off the Facebook ads that are the low performers, have it bump up the Facebook ads or that are the best performers to a new ad set with its own dedicated budget.
And everything that I just described that happening in like literally, you know, 30 minutes. Yeah. 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. 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. And 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 the that's I think the question that a lot of people have in their heads right now. Like, how do I How can I do that? Right. Because that's going to be an unfair advantage. So, yeah, let's let's go. Let's go through it. Perfect. Let's jump into it, man. All right.
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