Set up the complete AI marketing engineer stack to create static ads, UGC videos, and automated campaigns without designers or editors.
Based on: AI Agents are too good at marketing now by Greg Isenberg
▶ Watch the source video on YouTube
What if your marketing ran itself while you slept — generating ads, writing scripts, uploading creative, and optimizing campaigns without a single designer, video editor, or SDR on payroll?
Most founders and marketers are still doing things the old way: briefing freelancers, waiting on revisions, paying $300–$500 per UGC video, and hoping the algorithm rewards them. Meanwhile, a small group of marketing engineers have quietly built AI agent systems that produce 100 pieces of tested creative for the same cost as a single human-made ad. The gap between these two groups is widening every month.
The frustrating part is that the tools already exist. The workflows are already proven. What's missing is a clear, step-by-step map of exactly how to wire it all together — the data pipeline, the ad platform access tokens, the tool APIs, the skill files, and the quality-control loops that stop your agent from getting your ad account banned.
That's exactly what Cody Schneider laid out in his conversation with Greg Isenberg on the Late Checkout channel. Cody has spent years building these systems for real companies across regulated industries, ecommerce, and SaaS. He's the person who figured out why agents violate Facebook's terms of service (and how to prevent it), how to produce a lip-synced, motion-graphics UGC ad for under five dollars, and how to tag ad creative all the way down to customer lifetime value. This isn't theory — he built it live on camera.
This checklist turns that masterclass into a clean, sequential action plan you can follow today. You'll know exactly which tools to set up, in what order, and why each piece matters. From Airbyte and ClickHouse for your data warehouse, to the Facebook Marketing API token, to the Fal voice clone and Kling AI image generation workflow, every step is named and explained.
Follow this checklist and you'll have the full marketing engineering environment Cody described — the petri dish that lets your AI agent thrive, produce on-brand creative at scale, and feed the algorithm the creative velocity it needs to find your buyers.
Every checklist item comes with actionable notes to guide you — things like "Don't forget to do this before you start," "Avoid this common mistake," or "Set a reminder for 30 days out." Nothing vague, just clear next steps.
+ 27 more action items inside...
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