Building an AI System That Generates UGC Ads in Minutes (Multi-Model Orchestration Explained)

Creating ad creatives is still one of the slowest parts of growth. Even today, the workflow looks like this: Find UGC creators Ship products Wait for content Edit and publish This takes days (sometimes weeks). We wanted to change that. So we built a system that generates UGC-style video ads in under a minute using multiple AI models working together. This post breaks down how we built it — from architecture to attribution fixes. The Problem We Were Solving We saw three major bottlenecks: 1. Creative Production Doesn’t Scale Every new ad required a full production cycle. This limits testing and slows down iteration. 2. AI Tools Are Fragmented Most tools solve one part: Image generation Video generation Script generation But not the entire pipeline. 3. Attribution Was Broken We found: Duplicate install events Conflicting SDK signals Inflated metrics Which made optimization unreliable. System Overview We didn’t build “an AI feature.” We built a multi-model AI pipeline. Core Components: Sc