A 52-minute masterclass on the environment a coding agent needs to run marketing: a data warehouse, write-only ad API access, and a stack of generation tools, then live static ads and a $5 UGC avatar ad.
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6 days ago
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educational
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Big Idea
The argument in one line.
Marketing labor has become code and tokens, so the job is building the environment an agent works in: warehoused data to read, ad APIs to write to, and generation tools to make creative.
Who This Is For
Read if. Skip if.
READ IF YOU ARE…
A founder with a product and no customers who wants to test paid ads without hiring a designer, editor, or UGC creator.
A marketer already using Claude Code or a similar agent who keeps hitting rate limits, hallucinated numbers, or banned ad accounts.
A small team spending hundreds of dollars per UGC video ad who wants to know what a $5 AI avatar pipeline actually involves.
An operator who wants an agent to tie each ad all the way down to revenue and customer lifetime value.
SKIP IF…
You want a deep tutorial on any single tool. The demos move fast and lean on prebuilt skills from the guest's company.
You're looking for organic content strategy. This is about paid creative, ad accounts, and the data plumbing behind them.
You need a vendor-neutral view. The guest's platform is pitched several times, though an open source route is described too.
TL;DR
The full version, fast.
Work that used to need a graphic designer, copywriter, UGC creator, video editor, and motion designer can now run inside a coding agent, but only if you build the environment it works in. That environment has three parts: business data piped through Airbyte into a ClickHouse warehouse the agent can query freely, write-only access to the Facebook and Google Ads APIs so the agent never hammers them with reads, and API tools for images, video, voice, transcription, and lead data. With that in place, one skill turns a brand URL into five on-brand static ads built from mined pain points, and another produces a lip-synced UGC avatar ad for about $5. Add a swipe warehouse of reference ads and a vision-model creative director that scores every ad before a human sees it, then feed the ad algorithm creative volume.
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Greg frames the episode as a marketing-engineer masterclass; Cody promises static ads, UGC avatar ads, and the skill files to run them, plus how to layer real human creators in.
04:29 – 09:56
02 · Agents are now marketers
All marketing labor is now code and tokens. A team per ad becomes one agent; Mirage Tesseract one-shot edits long-form video. Your job is building the environment and getting out of the agent's way.
09:56 – 13:56
03 · Data pipelines and warehouses
Querying ad APIs directly floods context and causes hallucinations. Airbyte pipes every source into ClickHouse so the agent can query freely and tie ads to revenue and lifetime value.
13:56 – 16:15
04 · Giving the agent platform access
Use the Facebook Marketing API and Google Ads API for writes only. Reads come from the warehouse, because agents fire thousands of requests and get accounts banned.
16:15 – 18:08
05 · The tools for your agent
Generation and data APIs: Kie.ai for images and video, fal for transcription and voice, OpenRouter for LLMs, and a lead-data provider.
18:08 – 20:43
06 · Agents become top 0.1% marketers
With the environment in place, a Google Ads agent audits 5,000 search terms for buyer intent in 20 seconds. Cody pitches Graphed as the hosted version; Greg notes he is not affiliated.
20:43 – 22:35
07 · Swipe warehouse and context
Greg adds a missing piece: a swipe warehouse of thousands of reference ads, since good creative is what the ad algorithm matches to buyers.
22:35 – 29:08
08 · Creating static ads live
Cody runs /static-ads on Idea Browser, Late Checkout, Aime Leon Dore, Cursor, David, Robinhood, and Teenage Engineering: brand extraction, ad library check, pain-point mining, five concepts each.
29:08 – 30:03
09 · Static ad results
The first Idea Browser statics render from ChatGPT Image 2.5, ready to upload to a new Facebook ad set through the Marketing API.
30:03 – 36:28
10 · Creating UGC avatar ads
The /ugc skill writes a script, clones the voice to MP3 on fal, and sends script, audio, and a real reference image to SeedDance together, then upscales from 480p and fixes mispronounced words via word-level transcripts.
36:28 – 37:58
11 · Running the workflow in the cloud
The whole pipeline can run in a cloud-hosted agent harness, which is how 100 pieces of creative get made without a laptop.
37:58 – 39:51
12 · UGC ad results and cost
The finished avatar ad looks phone-shot and real, cost about $4.75 plus a few cents of motion graphics, versus $500 or more done by humans.
39:51 – 41:42
13 · Human creators through Trybe and SideShift
The agent can act as creator manager, sending scripts to paid UGC creators via the Trybe or SideShift APIs at around $40 a video, then adding motion graphics to their footage.
41:42 – 43:29
14 · Reviewing the static ads
A walk through the finished statics for David, Late Checkout, Cursor, and Aime Leon Dore, plus how to have the avatar hold the product.
43:29 – 50:49
15 · The creative director agent
Add a vision-model gate that scores each ad and loops revisions before a human sees it. Model jobs to be done, not a god-in-a-box agent; feed the algorithm creative velocity and log every prompt as JSON.
50:49 – 52:00
16 · Closing thoughts
Cody offers follow-ups on outbound and SEO and mentions Graphed's seed round.
Atomic Insights
Lines worth screenshotting.
Every piece of marketing labor, from static ads to UGC video edits, now reduces to code and tokens burned by an agent.
An agent querying ad APIs directly floods its context, hallucinates numbers, or quietly builds a local database full of duplicates.
Route every agent read through a data warehouse and use the ad platform APIs only for writes like uploading creative and pausing ads.
Ad accounts get banned when an agent fires thousands of API requests per second, not because agents are inherently unsafe on ad platforms.
Treat your agent like a drunk patron at a restaurant: assume it will hammer any endpoint you hand it.
A warehouse that joins ad data to payments lets you see which ads produce higher lifetime-value customers, not just which ones produce revenue.
An LLM can audit 5,000 paid search terms for buyer intent against their landing page in about 20 seconds, before money is spent.
Swipe files made sense before AI; an agent needs a swipe warehouse of thousands of reference ads it can pull from.
Sending a video model only a script lets it invent the read and the face; send the exact script, a cloned voice MP3, and a real reference image together.
Rendering avatar video at 480p and upscaling with FFmpeg avoids paying roughly $14 for a native 1080p generation.
Word-level transcription lets an agent find a mispronounced brand name by timestamp and swap just that word.
A UGC avatar ad with motion graphics costs about $5 to produce, against $300 to $500 or more using a creator, editor, and motion designer.
On the same script, an AI avatar ad sometimes outperforms the human creator, and nobody can fully say why.
Running a Facebook ads account with one general 'God in a box' agent works badly; coding the specific job a top media buyer does works.
Under Meta's current ad system, creative velocity is the lever: ship cohorts of 30 ads and let the algorithm find the buyers.
Storing each ad's generation prompt as a JSON blob lets you join ad performance back to the exact inputs that produced it.
Takeaway
Build the environment, then let the agent work.
WHAT TO LEARN
An agent becomes a capable marketer only when it can read clean warehoused data, write safely to ad platforms, and call generation tools, then ship creative at volume behind a quality gate.
02Agents are now marketers
A static ad once needed a designer and a copywriter, and a UGC video needed a creator, editor, and motion designer; one agent with image and video APIs now covers both.
Your role shifts from doing the work to building the system around the agent: data, access, tools, and evaluation, then staying out of its way.
Long-form editing has moved too: tools now one-shot cut a 90-minute podcast, removing silence and retakes and tracking the active speaker.
03Data pipelines and warehouses
Pointing an agent straight at ad APIs floods its context and invites hallucinated numbers or a messy local database full of duplicates.
Pipe every source, ads, analytics, CRM, and payments, through a tool like Airbyte into a warehouse like ClickHouse that the agent can query without limits.
Joining ad data to payment data shows which ads bring higher lifetime-value customers, so budget follows long-term revenue rather than first purchase.
04Giving the agent platform access
Give the agent the Facebook Marketing API and Google Ads API for writes only: uploading creative, pausing ads, moving budget.
All reads go through the warehouse, because an agent pulling data will fire thousands of requests per second and violate the platform's terms.
Setting up the Facebook developer token takes about five minutes, and you can hand the setup doc to the agent to walk you through it.
05The tools for your agent
The third layer is tool access: an image and video generation API, a voice and transcription API, an LLM router, and a lead-data provider.
Each tool is just an API key the agent calls, so the open source route is assembling these subscriptions yourself rather than buying a platform.
06Agents become top 0.1% marketers
With data, access, and tools in place, an agent can audit thousands of paid search terms for buyer intent against their landing pages before spending.
The scale advantage is the point: a human could run the same audit, but not across 5,000 terms in 20 seconds.
07Swipe warehouse and context
Paid ad algorithms now match good creative to the right buyer, so the quality and variety of your creative is the main input you control.
Keep a swipe warehouse of thousands of reference ads the agent can draw on, and keep adding to it as a shared team asset.
08Creating static ads live
A good static ad skill extracts the brand style, checks the competitor ad library, and mines Reddit and social posts for pain points before writing concepts.
Concepts come before images: each run proposes five headlines tied to a researched pain point or desired outcome, then renders them.
09Static ad results
Supplying your own brand guide as a markdown file of fonts and colors overrides what the agent infers from the website.
Generated statics can go straight into a new ad set through the Marketing API, closing the loop from URL to live test.
10Creating UGC avatar ads
Never send a video model only the script; send the exact script, a cloned-voice audio read, and a real reference photo so it cannot improvise.
Render at 480p and upscale with FFmpeg to keep cost down, then use word-level transcripts to find and replace any mispronounced word.
A real creator photo remixed for age, setting, or ethnicity avoids the plastic look that pure text-to-video avatars tend to have.
11Running the workflow in the cloud
The same pipeline can run in a cloud-hosted agent harness, which is how teams produce a hundred ads without anyone's laptop involved.
12UGC ad results and cost
A finished avatar ad with captions and motion graphics costs about $5, compared with $300 to $500 or more for a creator, editor, and motion designer.
At $5 an ad, ten variants cost $50 and a hundred cost $500, roughly what one human-made ad used to cost.
13Human creators through Trybe and SideShift
Agents can also manage real human creators, sending scripts through creator-network APIs at a flat rate per video plus performance bonuses.
Human creator footage can then run through the same motion graphics and caption pass as the avatar ads.
14Reviewing the static ads
Once a style is working, small prompt changes like having the avatar hold the product extend it to new variants.
Reviewing outputs across very different brands shows the skill adapting tone and visual style from each site rather than using one template.
15The creative director agent
Add a vision-model creative director that scores each ad and sends it back for revision until it clears a set bar before a human reviews it.
Model the specific job a top media buyer does with a thinking loop on live data, instead of handing one general agent the whole ad account.
Creative velocity wins: ship ads in cohorts of 30, and let the algorithm stop spending once it finds the few people who convert.
Store each ad's generation prompt as JSON so performance data can be traced back to the exact inputs behind every ad.
Glossary
Terms worth knowing.
Marketing engineer
Someone who builds and runs the systems that let AI agents do marketing work, such as making ads, buying media, and analyzing results, instead of doing that work by hand.
Data warehouse
A central database built to store large volumes of data from many sources so it can be queried heavily for analysis. ClickHouse is one example.
Data pipeline
Software that continuously copies data from source systems like ad platforms, analytics, and CRMs into a warehouse. Airbyte is an open source example.
Marketing API
Meta's programmatic interface for managing Facebook and Instagram ads, used to upload creative, create ad sets, and turn ads on or off without the web dashboard.
Skill file
A packaged set of instructions, usually markdown plus scripts, that a coding agent loads to perform a specific multi-step workflow on command.
UGC ad
User-generated-content style ad: a video that looks like an ordinary person filmed it on their phone, typically a direct-to-camera product recommendation.
Swipe file
A collection of proven ads and marketing examples kept as reference material for creating new ones.
Creative velocity
How many new ad creatives a team ships and tests in a given period. Higher velocity gives the ad algorithm more options to match to buyers.
Andromeda
Meta's ad retrieval system that decides which ads to show which users, heavily weighting the creative itself in finding the right audience.
CPL
Cost per lead: total ad spend divided by the number of leads, such as booked demos or signups, it produced.
Search intent
What a person searching actually wants to do, for example buy now versus research. Paid search terms with the wrong intent waste budget.
Waterfall enrichment
Looking up a contact's email or data across several providers in sequence, moving to the next when one comes up empty, to maximize match rates.
“You're just feeding the beast. You're feeding the machine. It is smarter than you.”
clean summary of the creative-velocity argument→ TikTok hook↗ Tweet quote
The Script
Word for word.
Read-along
Don't just watch it. Burn it in.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
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metaphoranalogystory
If you're anything like me, you want to figure out how you can use AI agents to go and get you customers that make you money, that build high ROI, that could just take your company and make it a successful thing. But how do you actually do it? What are the workflows?
How do you think about the skill files? How do you use Cloud Code and Grokbot to actually do all these things? Well, in today's episode, this is a full on masterclass for how you can do that.
We have Cody Schneider, and he takes you through step by step in the most clear way I think I've ever heard for how you can be a marketing engineer, basically a fancy way to use AI agents to do marketing on your behalf so you can make money 24 -7. We learn how to do static ads. We learn how to do AI UGC.
We learn just all sorts of things around paid media, AI content, how to do it. So by the end of this episode, you're going into 2027, understanding how to be the top point 1 % marketing engineer on the planet because let's be real, a lot of people don't know how to use these tools.
A lot of people don't know how to pipeline data into this. A lot of people don't know how to put the full picture together to actually create gorgeous content, gorgeous ads that are going to get you paid. But I got good news for you.
You're listening to this. This is 100 % free. Like, comment, and subscribe for more.
And I'll see you at the end of the episode.
What's up, Cody? By the end of this episode, what are people going to learn? Totally.
I'm going to teach you how to make Grokbot the best marketer in the world. Top 1 % or your cloud code. Doesn't matter what harness that you're using.
And then the other thing that you're going to walk away from is you're going to know how to make static ads that are on brand, that are talking to the pain points and desired outcomes of your target customer. And then we're going to make UGC avatar ads that look real, that talk real, that have motion graphics over the top of it.
That entire workflow is going to be just... skill files that you have access to they're literally in the description below give it to your agent and it can go and do this work so that's what they're going to walk with g okay so you're going to teach people about how to use ai to make static ads video ads all these create you know i've seen just like go viral these like ai influencer type ads i also want to know how i can layer on human beings into these videos you think you can also let us know about how to do that absolutely yeah we'll talk through like how do you basically make the coordination layer that enables you know a person with a grokbot or a grokbot itself to like be this creator manager using a tool like tribe or side shift um to actually like do you know the ugc production Or layer in the human, that's the gate of like, hey, I need this human involvement before any of this goes live, where that human taste is added to the process, to the workflow, rather than it just being this totally autonomous thing.
So how do you co -work with this, but solve the labor problem for yourself so you don't have to have a graphic designer, you don't have to have a video editor, you don't have to have a sales development rep. You go down the list, all these pieces can basically be handled and solved. This is the advice that if you had a 17 -year -old son and your 17 -year -old son had built a startup and they had no customers and you sat him down and you said, son, I'm going to teach you in under an hour everything you need to know about how you can use AI agents to create ads and create content that is going to get you customer.
Is that what we're talking about right now? That is exactly what we're talking about. Ads are one of the most high leverage things that you can do to get initial traction and also to validate an idea.
If you have a business idea that you're trying to get, to see if the market wants, this is the way to basically make the media that's necessary to sell that product or advertise that product. This is the exact thing that I would teach somebody. Once you do it this way, you will never go back.
You will never do it the other way because it feels archaic to do it any other way than this once you are in the weeds and basically building out these solutions. Thank you, Father. Let's get into it.
All right, let's jump in. So first off, I just want to talk about this a little bit deeper. And I don't know if you want to bring up that diagram that we were kind of working on right before this, Greg.
of what is happening in this category. So the big unlock, and I think the mind shift that I want you to get into here of what is changing is, historically, if I wanted to go and make, for example, a static ad, I would have to go and get a graphic designer, and I would have to go and do the copywriting, ideate off of, here's these different angles, desired outcomes, pain points that I want to focus on.
now instead that is just code and tokens that are being burned right and so all marketing is just going to this like all marketing is now just code it's just software and tokens and so when you look at you know an it static image for ads that you generate when you look at you know, a seed dance video that you create, or before I used to hire, have to hire like an avatar, sorry, hire a UGC creator to make this, and then have a video editor to edit it, and then have a motion graphics designer to do the motion graphics, right?
That whole thing is just stacked. That work is now handled by a GrokBot or a ClogCode or a Dots or whatever it is that you're using. There's all these different vehicles for this coming out.
But I think the big thing I want you to understand is that that labor that was necessary previously is no longer gone. There's a renaissance that's happening in long form video editing. I imagine your editor, Greg, is starting to already do this where you can literally use a software called Mirage Tesseract.
And it will go in one shot edit, you know, a podcast that's an hour and 30 minutes long. It'll cut out the silence. It'll cut out the takes.
It'll like put it in frames. It will do the edits of like showing the screen when it's appropriate. Does the active speaker identification?
All of this work that like used to be a human on a computer, we can now get agents to do this. I did not think it was going to get here this fast. To be totally blunt, like I did not think long form video editing or like a YouTube video editing was going to get here, you know, this year.
But here we are. And I think that today, like the big thing I want you to understand is that. All of the work that used to be a, you know, a human touching keys, moving the mouse, that can now be agents that are basically doing this work.
But you have to give those agents, like when I say agents, like you have to give your Grok bot, your cloud code, whatever it is that you're using, all of the necessary like infrastructure that it needs to be able to do that work, right? You have to, how I've been describing is, you have to make like an environment for it that is like, healthy for it to be like to work right it's like this petri dish that's like you know cozy and higa and whatever right that like it it can basically like thrive in and so to do that what you need is you need to provide data so access to your business data you need to provide its uh access to tools so Tools, when I say that, that's like API calls to, you know, a chat GPT image 2 .5 endpoint or API calls to seed dance or API calls to, you know, you want to scrape your competitors ad library.
We're going to do all this today. But this is like, you know, that's what I mean when I say tools. And then the other piece is you need to give it access.
to your ad platforms for example your facebook ads your google ads your websites you know cms so that it can actually go and publish that content uh 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 i mean the only thing i want to just say is you're the whole everything is for you to do that job.
Like your job now, person listening, is to basically build the system that Cody is describing. The Petri dish that Cody is talking about, the machine around all these models, agents, the machine around context, the machine around 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. Exactly. And I think that this is, again, like the shift that's starting to happen is like, get out of the way of the agents.
Like you are actually in the way. Like your your job is to be a conductor. There's this running meme right on social media of like the best, like, you know, the most effective employees will be people who played Starcraft, which is this like game where you would like coordinate, you know, swarms of actions.
And like, you know, it's basically it's that same philosophy that we're applying here. But OK. so how do you actually do this i'm going to talk about the open source version that you can like monkey patch together uh if you want to basically build everything that i uh you know you need for these agents the other thing uh that i'm gonna uh talk about is then okay how do you get started today if you're like an hour from now you want to do this exact thing how do you go and you know get this basically live and into the wild so first off on the uh open source infrastructure Let's solve the data problem first.
So on the data problem side, you can use a software called Airbyte. And so you need to build two things. You need to build basically a data pipeline and a data warehouse.
Why do I need to build these things? If you're just querying against the APIs of your ad channels or any of the other solutions that you're doing, you're going to run into the same problems where it's like a massive amount of data that are all going into context. And the agent is very likely to hallucinate on this.
Or what it's going to go do is it's going to go write its own database locally. and try to stuff all of that data into there. But then you run into like these duplication errors and all these pieces.
So how do you solve this? You use infrastructure that's built specifically for this. that exists for this exact purpose.
So the open source versions of this are a company called Airbytes. They are the data pipeline. So when you think about them, what they're doing is they're basically going and they are taking all of these different sources of data, your Facebook ads, your Google Analytics, your HubSpot CRM, anything that you store data in.
And they are basically the pipeline that is going into this data warehouse, right? So when I point to here, this is where Airbyte fits in, right? So this is Airbyte.
And in contrast, where this all goes is a data warehouse. And so that data warehouse. What you can use is a company called ClickHouse.
Shout out ClickHouse. They're an awesome partner for us. So we love them for everything that they do.
And that data warehouse is then where all of this data from all of these sources gets stored. So why am I putting it all into a single place? It's so that I can look at the data across the entire organization.
I want to be able to see the ripple effect of I ran this ad. And I can connect it to my Google Analytics. I can connect it to my HubSpot.
I can connect it to my PostDog. I can connect it all the way down to my payment processor and say, hey, when people see ads like this, I get more revenue. So let's go put more money into that.
The thing that gets even crazier, though, Greg, is like you can actually see who's a better customer lifetime value. We can tag an ad all the way down to like better customers come out the other side. Like they are a better customer lifetime value for us when they see media like this.
So not just like it made revenue. It actually made like more lifetime revenue when we are doing these activities, right? So all this goes into the data warehouse.
And then that data warehouse, you're giving access to that data warehouse. for your agent. So when you think about this, this is where Grokbot is, right?
Or Cloud Code or whatever it is that you use as your driver. And this is back and forth. It's basically querying that data.
And why we do this is it's constantly syncing in the background. So this data is constantly streaming in, right? It's constantly streaming in.
to the data warehouse and you can query this data warehouse as much as you want you can nuke this data warehouse with queries right and this is something we see happen all the time with businesses is they're like they're going directly to these sources and they're running into okay rate limits from the api or these challenges of like collecting it or they have to have like a clod function that's running on an hourly cadence or you know some monkey patch solution that they built locally to solve this.
This is how you get around this problem. So you give it the data. So that's the first step of this.
That's how you give it the data. The second step is you need to give it access to these platforms. So let's say this is Facebook ads, right?
So Facebook ads, how you give it access is you need to create what's called a Facebook ads API token. So it's called the marketing API. And the marketing API, how that's used is basically to do rights to the platform.
So I'm never actually reading the data from Facebook ads. This is only one directional. I'm only using this Facebook ads API to upload ad creative, to turn off ads.
to move ads around. All of the data reads are only ever happening from 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 people are like, okay, Grokbot got my Facebook ads account banned.
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 because it was trying to do some data pull.
You should assume your agents are... like drunk patrons at a restaurant absolutely absolutely like it's your drunk uncle at the like local irish pub he's eight guinnesses deep he split the g4 in a row for the last like hour and he's basically like this is that's how he's interacting with the facebook ads api right um This same strategy, you want to do this for everyone though, right?
You want to do it for Facebook ads. You want to do it for Google ads, the same thing, their API. We have documentation on this.
I'll send this over to you, G, so that you have it in the notes. It's just a Notion doc. It takes you about five minutes to get access to this.
It's not super hard. You literally can give the Notion to your agent and it will just like go and walk you through the setup process for this. So I've now solved two things, right?
I've solved the data. How do I give that to the agent? Let me zoom in so we can see this.
So one, how do I get it the data? Two, how do I get it the access it needs? And now three, this is the thing that people are just starting to discover.
How do I give it the tools that it needs to go and do the work that's necessary for it to be able to do media buying, to function as a sales development rep, to function as a video editor, et cetera. And for these tools, what we like what you can do that again the open source version of this is like you go and get a Kai AI Subscription and you go and get a foul subscription or put tokens in there and you go and you get an open router you know credential and you go and you get a You know an Apollo subscription right you can go down this list of all of these different tools that you have to go and basically get access to And when you have all these tools, all these APIs, and you provide them to the agent, it now, so I'm just going to take this tool piece and we'll just put this over here of a list of a handful of these.
like Kai AI, like Val for transcription, like Open Router for LLMs, again, Apollo, or actually we'll just do like Git leads because they're a great partner, or like Git leads for your email data provider and like person data. When you do these tools and you give it access to the agents, it now can do the middle work for you.
So for example, it can make an ad using Kai AI, a static ad, and I'm going to show you literally how to do this. You're going to just paste the skill in and it's going to ship ads. It's ridiculous.
But when it has all these tools, it can now do this middle work. It has the environment that it needs. So I was talking about this earlier.
Like this is the environment that's necessary for these coding agents to do this work, to do marketing, right? And when you have this environment, suddenly your agent becomes the most capable marketer in the world. I'm talking like top 0 .1%.
I've been doing this 10 years. It will come up with stuff where I'm like, holy shit. I would have never thought about that.
An example of this recently is we have an agent that runs Google Ads, right? This is like a template that we have within Graft. What we found is that we can in real time audit the search terms.
that we're coming up for, for paid search. And we can have an LLM be like, is this search term, like is the search intent buyer ready for the landing page it's sending it to? So before we're even spending money, we're having like this, you know, labor audit whether this is a good thing for us to even be spending money on.
Now I could do this previously, right? I could have a human that was running that same process. But getting a human to audit 5 ,000 search terms in 20 seconds is impossible.
And that's the scale that we're talking about here. And you can get it to do this work and basically function as like a team of people that was necessary. So this is the environment that you need to make.
That's the open source way to do this is go and get all those pieces. If you don't want to do that, you can use... Our company, graph .com.
Go to graph .com forward slash platform. It's literally free to get started. Everything that I just described is built into this.
The data, all of the access pieces we handle for you. We also make it so it's multiplayer. So all your team members, for example, can be five people separately.
using their Grok bot or their Claude code can be managing the Facebook ads account, you know, through this without having to have all their own system set up. And then also all the tools, all the tools that are necessary to do all the work that I'm about to show you. Again, you can set this up yourself.
That's just the way if you're like 10 minutes from now, you want to be able to do this. This is how you go do this. All right.
Two things, two quick things. One, just because people always ask, I'm not affiliated with Graft at all. He is not.
Yeah. I'm here just teaching this work on how to do this. Two, there's one piece of this pie, this marketing environment diagram that I feel is missing, which is what I would call a swipe warehouse.
So in order to get the most out of your Grokbot, your Cloud Code, whatever it is you use, you need to have examples of inspiration that is going to help you get the top. Because a big part of this game, if you want to be the best marketer, if you actually want to get people to actually buy whatever it is you're buying, you need good creative.
And the reality is if you have good creative, the algorithms, in terms of paid ads, the algorithms are so good now that they'll match your good creative to an ICP that'll buy your stuff. So the question becomes, how do I... I buy the data.
I buy the access. I buy the tools. I buy this whole marketing environment.
But how do you create a swipe warehouse? And when I say swipe, I'm basically saying a swipe file. But swipe files made sense pre -AI.
Now you need like thousands of swipe files. Okay. What am I looking at?
We're just starting to build this. Okay. And so as an example, like you want that Google Ads agent that I was describing?
Yeah. literally here's the code yeah just paste that into your cloud code and out the other side will come out a google ads agent um you want to like we're going to use this exact one here the static ads in ugc you want to make static ads same thing just literally paste it in and it's going to be able to go and like do these builds for you so all right let's actually build some shit let's get this like publicly out there cool so i'm gonna make some ads greg is there what's a what's a product that uh should we do idea browser we can do a bunch of them but like you rattle off some company names and we're just gonna start like making creative for them right now okay i would say idea browser and our design and strategy agency late checko dot agency okay late checkout so we've never actually done paid ads for it curious to see what it does so okay So first off, what we're going to do is I'm going to take Idea Browser, right?
And I have installed this skill, the static ads. And again, I'm using Graft for this. You can do everything that I'm about to do with like an open source version of patching this all together.
This is the fastest way to do it. So Graft is installed. And what I mean by that is we have the Graft CLI installed, which has like all of this knowledge, like.
stacked in this. When I say the CLI, what I mean is it's like this tool set. It's just a package that has all of the knowledge on how to use the platform.
Like the marketing engineering cloud is what we're calling it stored within that. So I've already got this static ad installed. I just do forward slash static ads.
And I'm going to drop in the brand URL and hit enter. And what's about to happen? is it's going to go to the website and extract the brand style guides of the website.
It's going to go and find the Facebook ads library of Idea Browser, if it exists. It's going to go and then research the pain points and desired outcomes that this product solves by going and extracting conversations from Reddit and other social media. It's then going to propose five static ads creative.
And then it's going to go and generate the ad creative based on all of this information that it just extracted. And then from there, we're going to be able to go and upload this directly into Facebook ads. Again, going back to that diagram, because we have all of this set up, all of this access, right?
Perfect. So again, what I did is I did forward slash static ads, idea browser, and it's now just working. It's running the skill.
And when I say it's a skill, like I'm not talking about like it moves some, you know, text around. It's going to actually do real work. It's going to do research.
It's going to actually pull in like what the human would do to make this creative. It's going to go and do that process. So let's go do this for another company now.
Let's do this for late checkout, right? So I'm going to create another session. So forward slash static ads.
I drop in. The business, that's all I have to do. Out the other side is going to come the static pieces of ad creative.
So let's come back. We'll see what's happening. It's extracting the brand here.
What other brands, G, are you guys work or that that we can do right now? Any products that you're excited about or like, I mean, it could even be e -com brands as well, like literally anything. I would be interested to see like how like.
You know, M. Leon Doré. Do you know that brand?
I don't know. How do you spell it? A -I -M -E.
There it is. M. Leon Doré.
Cool.
All right. Let's drop that in too. Something like that has like a strong brand and probably has some ad somewhere.
Totally. So we'll do them. Who else?
I would be interested to do like a SaaS app probably.
What's a big one that you guys have done recently? We can do Cursor. Yeah, Cursor's great.
All right, let's do Cursor. All right, we'll do Cursor as well. Just firing these off.
And just to come back to this, so Idea Browser, this is what it came up with. So it's going to make five statics. And headline, stop guessing which idea to build.
Every idea is scored on demand, pain, and timing. Get today's free idea. Headline, build what people already search for.
Headline, your chat GPT ideas are generic. Headline, don't waste six months on a dud. Headline, 1 ,948 ideas worth building.
These are basically the ad ideas or the concepts that it extracted from going and researching online, like what are the pain points, desired outcomes of somebody that would buy this product, right? So now I said, okay, generate these ads. And out the other side is going to come the actual ad creative, you know, based off of these concept points.
And this is how you get good like outcomes to happen is you, again, you have to. Give the agent what it needs, the environment that it needs to do this work, right? So let's come back to these other ones.
We'll see where they're at. Oh, they have zero ads. It's fascinating.
Cursor, cool. So cursor, we're pulling the Facebook ads libraries. That's great.
And late checkout, still building the brand style guide there. So let's do some other brands while we're waiting. Trying to think.
Let's do David. Just like the protein bar. What other brands are you stoked about right now, G?
Stoked about? Or just come to mind?
Let's do an old classic maybe of like, I don't know. I think Robin Hood's a pretty good brand. Cool.
Let's do that. Robin Hood as well. All right.
These are ready. you know what's a really cool brand and product teenage engineering oh that would be sweet actually yeah i'm gonna say okay make these and let's go to idea browser and here's the statics that are coming to are starting to come out wow so we'll take a look at those in a second and same deal here like make these and same thing make these all right So got a handful of these.
Let's go back to the idea browser. Let's look at these pieces of creative, right? So stop guessing which idea to build.
Again, this is just based off of the brand that it's pulling. You can modify this. You can also give it the skill files.
that define your brand style guides. This is just a markdown file. What are the fonts?
What are the colors? Again, this is just extracting from the site, going and doing that research. But I've made these ads now, right?
Once I've made these ads, I can then go, and because I've already set up the Facebook ads API, I can say something like, upload these into the Graft Facebook ads account into a new ad set, right? And it's going to go and upload those directly into it. I'm just going to stop this for the time being.
And now what instead I'm going to do is show you how to take these same concepts and we're going to turn this into an AI avatar UGC that's doing a script read that also has motion graphics over the top of it. So I'm going to do forward slash UGC, write a script. for this based on above.
So this skill file, it understands, okay, how do I need to go and make this seed dance add? And I just, while this is generating, I would just do these also or make them now come back to these. Those are still rendering.
So in the example that you used, the static ads were used, uh, using chat GPT image to the UGC ads are using C dense. Is there an opportunity to like, let's say I don't, I don't want to use image to, I get better results on nano banana or I get better results on whatever. Is there a way to swap models out?
Yeah, absolutely. So you like, for example, if you get a Kai subscription, You could use nano -banana, et cetera.
With the unified API, it has all those endpoints. So you just literally say, like, you know, change this to nano -banana from chad -cbt -image. chad -cbt -image 2 .5 is the best that we've seen.
So, like, I would suggest it. But anyways, so we're going to make this UGC ad now. There's already a pre -built avatar in here.
It just wrote the script. I'm going to say, okay, make the ad. And what's about to happen is a couple things.
So people, we see a lot of people being like, I just spent $50 to make this UGC ad, like burning like tokens to do this. So this workflow that we're about to run, how we've solved for this is we've done a handful of things. The first thing is that we're taking the script.
So imagine, you know, this is a long script and that then goes. And we do an add read using not seed dance. So the audio is actually using a foul voice clone.
And then this makes an MP3 file. This is what, you know, comes out the other side. It's just the MP3.
The next piece is we send the MP3 and also an image. Right? So imagine this is like the creator image, right?
This is a reference image that we're sending at the same time with the MP3. And also the script gets sent as well. So all of this goes to Seed Dance at the same time.
Why are we doing this? Why am I even talking about this? If I just send the script straight to Seed Dance, it's going to give me just like whatever it invents at that moment.
So what I have to do is I basically have to be like, here's this walled garden that you can work within. The script, exact script, the exact voice example, doing the ad read. So you're not like inventing, like if you have ever had C dance where it's like, it's like, it's not make, it's not actually enunciating the words.
This is how you can solve for this. And then also the reference image so that The avatar that you get out is what you're looking for.
It's not some random thing that Seed Dance thinks about or makes up. So all of this gets sent to Seed Dance. And then out this other side, you get this ad that is ready for you to edit.
This isn't the final form. This ad that you get is 480p, right? So we'll say that this is the first version, the V1 of the ad, right?
That it's this video. This is 480p. Why are we doing that?
It's because if I did a you can use a higher model But it just you know if you're trying to be cost conscious This is the way to get around this so you can do like 1080p, but it costs you I think it's like you know $14 for that in contrast I can do a 480p and then I upscale the video and I add blur using what's called FFm peg again.
You don't even know any of this all of this is happening within the skill that I just used to make this ad, right? The other thing that it's doing is it's doing word by word transcription and it's matching the script to the transcript, right?
So it's matching the script to the transcript to confirm that it's an exact read that's happening. Now, say it mispronounces Calendly, right? And it says like Calendla.
This is an exact example of that, like we had happen. Instead of that calendula now being in there, what it does, because I have the word by word transcript, it can isolate, hey, this word is wrong. Calendula is wrong.
Great. Here are the timestamps, right, of where that is said. And I'm now going to go and I'm going to replace this.
with the correct pronunciation of Calendly, right? And we can swap basically those mistakes. And this is, again, this edit, this video editing that I just described here.
This is not a human. This is the agent that is basically doing this work, right? Doing this within Cloud Code or your Grokbot.
Everything that I'm describing as well, I think that, you know, this is kind of the meta of this whole thing. This can all run in a cloud. So I can host a cloud code harness in the cloud and have it do this entire workflow.
So our engineers, this is what they do. You want 100 pieces of creative using this exact process? This is exactly how it happens.
It's hosted in the cloud. It's not actually on the machine locally that this is all going on. So out the other side, what I get from this, when it does this whole stack of things on the video edit side.
I get this complete ad that is doing the pronunciation right, that's upscaled, and that looks actually like a human, like a human videoed it on their phone. And the reason for that is we use a source image. I forgot to mention this.
We use a source image that is taking a real creator and remixing their... basically that creator right i'm not saying a likeness i'm saying like we're like change the background and make this person you know this age this ethnicity uh you know etc is basically what this ends up being and if you ever get that like plasticky like effect on seed dance this is how you solve for this is you give it you know a real human version for it to go and do that remix so i now have this video that is ready that is you know a ugc read But there's things I want to do.
I want to add captions and I want to add motion graphics to it. How do I go when I do that? So this next step is you use a product called Tesseract from Raj.
This is the exact thing that we're about to do. And what it can do is it can take that word -by -word transcription that we have up here and it can add captions or it can go and add motion graphics to the video. So let's go and look at this now.
Video's probably done. It takes about five minutes -ish to render. So let's see if it's completed.
And it's completed. So let's take a look. I'll screen share.
Cool. So this video is now rendered. And this is it doing the lip read, doing the sync.
It's done those entire edits. And I can now go and say, okay, add motion graphics to this video.
Using Tesseract.
By the way, she looks insanely real. I... So we have hundreds of these and we can make any person type.
Like, you name it, we can get it. We've got ones like you're trying to sell to a blue collar. Awesome.
You're trying to sell to somebody who's in a corporate office. Awesome. You're trying to...
You name the demographic or the psychographic and we can go and hit it. So this cost... $4 to make.
About $4. I think it was a little bit more. We'll ask it at the end.
It says $4 .75 was the projected. So this motion graphic piece will be a couple more cents. So basically I'm getting this ad out for about $5.
We're about to work with another provider. We'll be able to get this down to about $3 is where we think we'll end up be or in that vicinity. But I've got this ad now.
So say I wanted to go and make 100 of these.
or we'll say 10 of these, right? That's 50 bucks. I want to do 100.
That's 500. If I was to go and get this made previously and add motion graphics to it, I mean, you're easily in the range of $500 plus in the past, right? For just that single ad.
And this is this way around this. Now, these ads. You don't have to only use these AI avatars.
The other thing that we're starting to do is layering on tools for, like, an example is Tribe, where you basically make a UGC creator network. What's amazing now is instead of having to have a person that was managing all these relationships, you can use the API and your Grokbot and your COD code. to basically be the social media, like social creator manager, right?
The creator management person. So this is like literally how we are doing this. We use that.
We also use a company called Sideshift as well. Just two examples of like, how do you run these campaigns? So wait, so how does that actually work?
Because so what you're saying is Tribe is a network of UGC creators. You got it. So we pay them like $40 a video as an example for a company that we were working with.
I would take this script. And I would be like, hey, guys, here's this script, you know, a variation. Feel free to modify it.
But this is the, you know, directionally basically where to go for this, right? That via the API of side shift or tribe gets sent to them with, you know, a prompt. And then you pay them on like a per video basis or a percentage.
There's a video that went viral. I think his name is Hector. Yeah, I mean, I don't know him, but it's super legit.
Like what he's doing is the exact. strategy implement we do it on a per video basis and then have like a bonus based off of this um the spend but there's tons of ways to basically structure these but um what this turns into is you can have the human creators so you have instead of the avatar doing the read right you can have the human creator and then go to okay i want the infograph or i want the motion graphics to be added to that human creator so just a way to to make this happen right the exact workflow i just described We can do that for all of these different ones.
So here's David, right? Built on science, backed by doctors. Cool.
For late checkout, your product is getting a second user. Your next product is your support ticket. Every company can have a lab now.
Fire. Some examples. Cursor.
Finally, understand the code nobody wrote down. Looks like it's rendering the rest of them. I'm really curious what it's going to do here.
So here's a May. So this is ad one, pay retail, not resale. Bought once, worn for years.
The gift they'd pick, try it on, stay for coffee.
Let's see what it did for, so still working on the Robin Hood ones. All right, every one of those, if I wanted to go and make an AI avatar ad, I could do that. I could also have the avatar hold the product.
You can modify the prompt for that. Dan, you just tell it, I want you to hold the product. Here's the image variation, et cetera.
And it can do that. You just provide those as the reference images. And once those ads are complete, so we have this final ad.
It's doing the read. It sounds human. So it's doing the read.
It's adding the motion graphics.
It's doing the pop -up. It's looking at this frame by frame. It's adding the call to action.
And again, didn't do this perfect on the first shot. You can have it just be like vision model, go through this frame by frame. We need to basically 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 a question on that.
Does it make sense? I mean, you could do this on Cloud. You can do this on Grokbot, right?
So does it make sense to have a... creative director, essentially, do the first pass and be like, go and watch what comes out as the first pass for ADP and score it. Just like how a Code Rabbit or a Greptile does code review evals, says this code is ready to push to production.
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, it's at least an eight on 10 or a nine on 10. Absolutely.
You can a hundred percent do that. Um, 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 live 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 to make so that it matches doesn't you know you can have a gate within there as well like if it doesn't meet this quality standard then you know it has to go through another loop this is actually how we do a static creative generation for any like regulated markets like for example we have clients that are in financial um and for them uh like you know they basically have all these approval processes there's things they can and can't say so we have an agent that like is a basically an image model that's like looking at this like here's all these things that we can can't do can't promise etc and it goes in a like recursive loop modifying the creative based off of that so creative you know one gets made
vision model looks yes no okay send it back make these changes yes no and just goes you know we typically get in like two to three so it's it's like you don't have a lot but chat gbt image uh 2 .5 is like an incredible graphic designer like for specific modifications like it we've just found that it's like very good at keeping like the original image rather than remixing it again and all these things are going to get better right like yeah it's Does a random seed dance generation like one out of 50 suck and it just like is still garbled nonsense?
Absolutely. Will this continue to improve? Yes.
Does it matter right now? Because the cost is so much like this is the discrepancy, right? It's like, again, I can pay $500 or we'll say $300.
Maybe you get this correctly done. It'd be $300 to have the UGC creator, a motion graphics person, you know, actually do this. Or in contrast, I can go and pay $4.
95 % is good out the other side. And the funniest part with all this is like, we'll see these AI avatars sometimes perform better. Same script reads than the human.
Right. And it's like people are like, well, why? And it's like, I don't know why.
It just hits. And that's the game anymore, especially on Facebook ads with Andromeda, right? It's like what it comes down to is like you're just feeding the beast.
You're feeding the machine. It is smarter than you. It is more capable than you.
It knows more than anybody else in this world, right? And it will just show the right ad to the right person. All you have to do is give it like.
creative velocity and there's a lot of the work that we're doing right now is like companies are like sweet like we were shipping 10 ads a month and we're like awesome like let's go to 300 tomorrow we'll just ship a cohort of 30 right and you know it depends on the ad budget size and all these pieces but like And your ad budget in the CPL, like there's like a formula for like how many ads should I ship based off of this that actually gets through testing in these pieces.
But I mean, we'll see this, especially for software companies where it's like we'll ship a cohort of 30 and like an ad will get like two conversions, like two demos booked at like. you know, $50 and maybe their average is like $150. And then it will just stop spending on that ad because Facebook found the two people that will convert.
And then it's like, all right, cool, we're done here, right? Let's move on to the other pieces. And so again, you just have to like feed this machine.
And everything that I've talked about is how you actually feed this machine. How do you give your agent the necessary resources to be able to go and do this? So now we ship those ads, right?
We upload those into Facebook. Because I have the data solution, I can be like, what is working?
And all of this is just code, right? All of this is just code and tokens. When I'm sending, like here, we can do this right now, but like when I'm sending that prompt to Seed Dance to generate the ad, right?
It's just a JSON blob. It's just code that's being sent. I can store that JSON blob in a database and I have literally like at, you know, the cellular level breakdown of like, what is this ad?
I can tie the data on Facebook directly to that ad, that JSON blob. And now imagine that for a thousand ads, right? That's the scale that this is getting to.
This is the game that's happening. This is like why you have to do this. This is where every company is going to be in five years.
Like you're going to have to do this to compete. You will not be able to win unless you do this. Basically have the infrastructure and then like have the engineering talent to be able to do this work.
The one step I would add on the creative director piece, What I would be doing if I was creating this, and I'm going to go and build this system, is have your creative director agent go and ingest David Ogilvie's books and a hundred of the best YouTube podcasts over the last 24 months of the world's best creative ad people and their podcasts and go and...
Now you understand all the fundamental techniques. That's one. And then two, the human being, going back to the swipe warehouse, how do you create a swipe warehouse of just tons of really cool examples and interesting examples that you're just constantly adding to?
And there's a bunch of tools that you can use to manage that. You can use, I think, sublime .app is one. you know, Cosmos.
If you want to make it 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 upload it into it.
And now the whole team has access to it and all of the tool usage and all of the data usage, all of that is there. Yes. That like repo of that storage of knowledge, like that is one of the most valuable things that you can do.
Yeah. Is there anything you haven't shown that you want to show or is that it? Maybe we do another one though, G, of like I come back and we'll do like an outbound version of this.
Like how do I build a total addressable market map? And how do I go and find all their emails using a waterfall enrichment? And how do I get an agent like Grokbot to go and cold email all of these people, right?
What's the environment that it needs to do that? We can do that as well. We can do it for SEO.
Like we can do a whole series on this if that's something that the audience is interested in. Let Greg know below if that's what you want. I will come and teach you literally how to be a marketing engineer anytime that you guys want me back on the show.
Amazing. All right. Well, thank you, Cody.
This has been incredible. Yeah. Gee, one other shout out, if you don't mind.
I'm in San Francisco for the next two weeks. We're raising our seed round for Graft. If any of what I just described resonates with you and this idea that like there needs to be a cloud for marketing engineering, that is what we are here for.
And that is what we are building. Reach out on Twitter. You can find me at Cody Schneider and you can literally ride along as we do this, you know, basically fundraiser, just turning it into.
an event so cheers thank you man love it thank you cody
The Hook
The bait, then the rug-pull.
The title promises agents that are already better than you at marketing. The episode backs it with plumbing rather than hype: where the agent reads data, where it is allowed to write, and which tools let it produce static ads and a lip-synced UGC video ad for about five dollars.
Frameworks
Named ideas worth stealing.
07:22model
The Marketing Environment
Data: business data piped into a warehouse
Access: write permissions to ad platforms and CMS
Tools: APIs for image, video, voice, LLMs, and lead data
The three things an agent needs to do marketing work. Without all three it either hallucinates, gets accounts banned, or cannot produce anything.
Steal forscoping any agent automation project
14:15concept
Read from the warehouse, write to the APIs
Airbyte moves the data
ClickHouse stores it
The agent queries the warehouse
Ad APIs receive only writes
Separating reads from writes keeps the agent off rate-limited platform APIs and away from terms-of-service bans while giving it unlimited query access.
Steal forany agent touching a rate-limited third-party API
23:51list
The /static-ads skill
Extract the brand style guide from the URL
Check the Facebook ad library
Mine pain points and desired outcomes from Reddit and social
Propose five concepts
Generate with ChatGPT Image 2.5
Upload to a new ad set
A single command that turns a brand URL into five researched, on-brand static ads.
Steal forrapid ad concept testing for a new product
32:26list
Three inputs for a realistic avatar video
The exact script
A cloned-voice MP3 of the read
A real creator photo, remixed
Sending all three to SeedDance at once walls the model in so it cannot invent the delivery, mumble words, or produce a plastic-looking face.
Steal forany AI video generation that needs a specific read
34:01list
Agent video edit pass
Render at 480p
Upscale and blur with FFmpeg
Check every word against the script
Swap mispronounced words
Add captions and motion graphics with Tesseract
The post-production steps the skill runs automatically to turn a cheap render into a finished ad.
Steal forcost-controlled AI video pipelines
43:42list
AI creative director loop
Generate
Score with a vision model
Revise until it clears the bar
Only then show the human
A quality gate modeled on code review bots. Used for compliance in regulated markets, it typically converges in two to three loops.
Steal forany generated-content pipeline with a quality or compliance bar
44:30concept
Jobs to be done, not God in a box
Instead of one general agent running an ad account, ask what a top 1% media buyer actually does and code that job with a thinking loop on top of live data.
Steal fordesigning any autonomous agent
CTA Breakdown
How they asked for the click.
VERBAL ASK
19:53product
“Go to graph.com forward slash platform. It's literally free to get started.”
The guest pitches his own platform mid-episode as the shortcut to the open source setup he just described, and again at the close while announcing a seed raise. The host discloses he is not affiliated, which keeps the plug honest. The skill files are offered free in the description.
Add Modern Creator as a preferred source and Google shows you more of our breakdowns in Search, Top Stories, and AI Overviews. It only changes what you see, and you can undo it in your Google settings anytime.
Add to Preferred SourcesOpens your Google source preferences with us pre-loaded. Tick the box and you're done.
A 54-minute live demo where Cody Schneider runs seven AI agents simultaneously to build a full GTM machine — ads, outreach, cold email, data analysis — with Greg Isenberg watching.
Cody Schneider maps the exact infrastructure — pipeline, warehouse, agent — behind a Facebook ads system that researches, creates, publishes, and kills its own losing ads.
Greg Isenberg's nine-part framework for turning Claude Code into a 24/7 AI employee, walked through live on a real med-spa idea, from workspace and memory files to scheduled routines and parallel agent sessions.
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