RedHub AI
How the roll-up gate works
How the AI Avatar Video Production Kit gate works
This tool grades every video in the library against consent, disclosure, and claim-substantiation rules, then rolls the library up to its worst video. It reads 8 videos and rolls them into one verdict — the worst, never the average — then a gate that can only make it worse.
The 8 videos
A video that uses a real person's face or voice with no completed consent artifact, that frames an avatar as a first-person testimonial, or that makes an unsupported health or earnings claim is a hard stop - one blocked video holds the whole library at HOLD no matter how many other videos are ready to publish.
Why: One video is clean to publish and four only need fixes - a disclosure label, a claim basis, a dub QA pass, a material-connection check - which alone would read FIX. But three videos are hard stops: a real person's avatar with no consent on file, an avatar delivering a first-person testimonial it can't substantiate, and an earnings claim with no proof. Any one hard stop holds the whole library, so the gate reads HOLD.
No single video is the crisis — the clustering is. The roll-up takes the worst, the gate escalates when trouble compounds, and it names the one thing to fix first. Not legal advice. Triage and documentation support only - it grades each video's production structure, never people. Platform consent rules, state likeness law, and the EU AI Act Article 50 date move quickly, so verify against primary sources and have counsel review anything high-stakes.