Hook Machine: Scoring and Ranking 3-Second AI Ad Openers

Description and use

Hook Machine automatically generates, scores, and ranks 3‑second ad hooks, optimizing for duration, copy budget, motion, and cost while handling content‑policy rejections.

Problem

Creating effective 3‑second ad hooks that capture attention within the first three seconds of a UGC ad, while keeping production cost low and ensuring compliance with content policies.

Outcome

Hook Machine reduced cost per candidate from $1.50–$4.00 to $0.15–$0.80, enabled best‑first ranking, and automated content‑policy self‑healing, improving editor workflow and thumb‑stop rates.

Workflow

• 1. Define hook brief with product, tone, and word count.
• 2. Hook Machine routes brief to the cheapest suitable engine based on content profile.
• 3. Engine generates hook clip (≤3s, ≤15 words, motion in first frame).
• 4. Hook scorer analyzes signals (motion density, copy fit, first frame impact, audio peak timing, caption readability).
• 5. Hooks are scored and sorted best‑first.
• 6. Editor selects top candidate for full ad production.

Evidence

Hook Machine is the tool I built on the video generation platform to generate, score, and rank 3-second ad openers

Source

The scorer combines heuristic signals — no ML model training required

Source

Content-policy self‑healing: when an engine rejects content (422 or policy block), the router automatically retries with the next engine in the fallback chain

Source