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Cody Schneider

Things Cody Says on Podcasts

Where to Find Them

Cody Schneider has been a guest on The Startup Ideas Podcast (18 times) , The Koerner Office - Business Ideas and Deep Dives with Chris Koerner (2 times) , The Intrinsic Value Podcast - The Investor’s Podcast Network , Shed Geek Podcast , Marketing Against The Grain and Milk Road AI .

Recently: “AI Agents are too good at marketing now” on The Startup Ideas Podcast (November 2026); “How to Build an AI Marketing Team That Runs Itself (Live Demo)” on Marketing Against The Grain (September 2026); “These AI Marketing Agents Get You Customers” on The Startup Ideas Podcast (August 2026); “How I use Claude Code + MCPs to run my marketing” on The Startup Ideas Podcast (July 2026); “The Last 90 Days in AI Compressed an Entire Decade. Here's What Actually Changed” on Milk Road AI (June 2026); “Claude Code marketing masterclass [from idea to making $$]” on The Startup Ideas Podcast (March 2026).

What They Said

“people are like, okay, Grokbot got my Facebook ads account banned, right? Like, don't use agents for this. That's not what's happening. Your Grokbot violated the terms of service of the API because it was sending thousands of requests per second” — Cody Schneider, The Startup Ideas Podcast

Schneider explains why his setup reads ad data from a warehouse and only uses the ad platforms' APIs to write changes. His point is that agent bans come from hammering the APIs, not from using agents at all.

The Startup Ideas Podcast · 2026-11-09 Permalink → Listen →
The Startup Ideas Podcast Around 07:06 into the episode
Cody Schneider

…CMS so that it can actually go and publish that content that it produces or get the final products, you know, into the wild, actually, you know, into the public. So that's kind of the high level. Any questions about that? I can try to answer before we jump into this and actually do these builds.

Greg Isenberg

…The Petri dish that Cody is talking about, the machine around all these models, agents, the machine around context, the machine around, you know, evals, that whole thinking is the job of the person who's building a business in 2027, if you actually care about it getting customers on day one.

Cody Schneider

…the data warehouse. Now, why do I do that? What is the point? Like, what is the reasoning for this? The reasoning is because you're trying not to abuse the Facebook ads API or the Google Ads API. Which they have terms of service, and agents will go and just like do a thousand requests at once. And this, that is against their terms of service. So, you probably have seen these online where, like, people are like, okay, Grokbot got my Facebook ads account banned, right? Like, don't use agents for this. That's not what's happening. Your Grokbot violated the terms of service of the API because it was sending thousands of requests per second

Greg Isenberg

because it was trying

Cody Schneider

to do some data poll. So,

Greg Isenberg

you should assume your agents are like drunk patrons at a restaurant.

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.
“you don't need God in a box to run a Facebook ads account. It's actually a terrible way to run a Facebook ads account. How do I know? We did this, multiple companies, and it's absolutely terrible. The better way is like, what's the top 1% media buyer doing? How do I go and turn that into code with a thinking loop with a live data stream that it's making decisions on top of?” — Cody Schneider, The Startup Ideas Podcast

Asked whether one agent should score AI-made ads before a human sees them, Schneider argues for narrow agents built around specific jobs rather than one all-purpose agent.

The Startup Ideas Podcast · 2026-11-09 Permalink → Listen →
The Startup Ideas Podcast Around 44:07 into the episode
Cody Schneider

…perfect on the first shot. You can have it just like be like vision model, go through this frame by frame. You know, we need to basically like have it be aligned, et cetera. That's something that we actually probably need to build into this. But anyway, we've now made those ads just so we created

Greg Isenberg

…like score it, just like how a code rabbit or a greptile does like code review eval says like this code is ready to push to production. Like don't even show me the video unless like it fixes a lot of those little issues. And also go and make sure that it's at least an eight on 10 or a nine on 10.

Cody Schneider

Absolutely. You can 100% do that. I wouldn't even like make this person. Like I think people think about this as like employees, but like I would just think about it as like jobs to be done. Like what was the human doing? And how am I turning that into code, right? Like you don't need God in a box to run a Facebook ads account. It's actually a terrible way to run a Facebook ads account. How do I know? We did this, multiple companies, and it's absolutely terrible. The better way is like, what's the top 1% media buyer doing? How do I go and turn that into code with a thinking loop with a live data stream that it's making decisions on top of? That's actually what an agent, you know, a lot. Autonomous agent ends up being, but to your point, yeah, absolutely. Like you could just add a step to the workflow that I just described. I'm gonna like ship the skill literally right after this. I'm gonna make this update where it basically will look at the motion graphics frame by frame. And it's like, oh, here's these adjustments that we need…

Greg Isenberg

the one step I would add on the creative director piece, like what I would be doing if I was creating this, and I'm going to go and like build this system is have your creative director agent go and ingest like David Ogilvie's books and a hundred of the best, you know, YouTube podcasts over the…

Cody Schneider

multiplayer, this is in graft. Again, I'm going to do this plug. Like, sweet. You want to ship a tool to your whole team? Like, we have a Series A startup that like five people are working on the accounts across marketing and sales. And like, as they discover new workflows and things, they just…

Greg Isenberg

of the

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.

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