Clip Approval Gate (QA)
A checklist with 7 steps: Pull the auto-generated clip set into a single review board before anything reaches a client folder.
By InnovaAI ResearchPublished
What are the steps?
Clip Approval Gate (QA)
- 01
Pull the auto-generated clip set into a single review board before anything reaches a client folder
Batch every candidate from the run into one queue so reviewers compare clips against each other rather than approving them one at a time in isolation.
- 02
Score each clip against the client's hook, claim, and CTA checklist
A clip that opens on a mid-sentence fragment or drops the offer line fails regardless of how clean the caption styling looks.
- 03
Verify caption accuracy on names, numbers, and product terms
Auto-captioning mangles proper nouns and pricing more often than it mangles ordinary speech, and those are the errors clients notice first.
- 04
Check vertical reframing for cut-off faces, hands, and on-screen text
Auto-reframe centers on detected speakers, which pushes lower-third graphics and whiteboard content out of frame on roughly one in five clips.
- 05
Confirm the clip does not contradict a claim the client has already published elsewhere
Repurposed footage carries old pricing, retired feature names, and superseded positioning that no caption model will flag for you.
- 06
Log every rejection with a one-line reason in the shared tracker
Rejection reasons become the tuning brief for the next run and the evidence base when a client asks why volume dropped in a given week.
- 07
Route the approved set to a named human owner for final sign-off before scheduling
The reviewer who approves is the person accountable if a clip ships with a factual error, so the name goes on the batch record.