When Creative Volume Breaks Your Quality Gate
Most teams don't have a creative problem. They have a checkpoint problem. Here's where the QA process breaks as creative volume scales — and what the best operators do about it.
AI Engineer · Technical Manager · Product Builder
10 years in software engineering, now focused on AI agent development. Currently leading engineering at starti.ai — a video agent that lets you edit video through natural language — while exploring how AI can improve ad creative workflows.
Edit video through natural language commands. No timeline scrubbing, no manual cuts — just describe what you want.
Combining ad creative data with campaign performance to understand what actually works, and surfacing actionable suggestions.
Most teams don't have a creative problem. They have a checkpoint problem. Here's where the QA process breaks as creative volume scales — and what the best operators do about it.
Most teams have a strong process for making ads. Almost none have a process for the moment after production ends and before the campaign goes live. That gap is where campaigns quietly bleed out.
When we tried to make AI actually understand ad creatives, we found the problem goes far beyond calling an API. Here are the lessons and the thinking behind our approach.