Most AI UGC Ads Fail. This System Doesn’t

Most AI UGC ads don’t fail because of bad prompts.

They fail because there’s no system connecting everything.

In this video, I walk through the exact workflow I use to turn ads that are already winning on Facebook into repeatable AI-generated UGC ads—without guessing, starting from scratch, or relying on one-off prompts.

I cover:

• How to find ads that are already converting using the Facebook Ad Library

• How I break down those ads into reusable structures instead of copying them

• How brand messaging and context prevent generic “AI-looking” ads

• How I create consistent AI characters for UGC-style videos

• How everything is connected through Airtable and automation

• How scene-by-scene prompts are generated automatically

• How I produce the final videos using Sora 2 or Kai

• Why iteration matters and how to keep costs low while testing

I also show a real example early in the video so you can see exactly what this system produces before we dive into the details.

I've attached the workflow template link to the airtable base here -> https://airtable.com/appgNk77WMStSwW5y/shrDXKxecubCVzte4

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