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Playbook

You’re reviewing every AI video manually. That doesn’t scale.

Watching every generated video, checking for artifacts, face drift, garbled speech. It works for 1 video. It breaks at 14 per week.

The manual QA trap

Every AI-generated video needs a quality check before it ships. Flickering hands, warped faces, audio that drifts out of sync, hooks that don’t land. You’re the bottleneck — watching, rewinding, deciding.

At 2 videos a day, that’s manageable. At 14 per week across multiple formats, you’re spending hours on review instead of production. And you still miss things when you’re tired.

Automated QA gate

  1. 1.

    Submit a video URL to the Watch endpoint

    Your agent sends the video. VidJutsu returns freeform video understanding in seconds — hooks, pacing, artifacts, CTA strength.

  2. 2.

    Set a quality threshold

    Your agent decides what ships. Score above 7? Publish. Below? Flag for re-generation or manual review.

  3. 3.

    Use Extract for frames, audio, and metadata

    Need the raw assets? Extract pulls frames, audio tracks, and metadata from any video.

  4. 4.

    Validate with Check

    Before a video goes anywhere, run it against your spec. Your agent publishes what passes and flags what doesn't.

The math

Manual review

~5 hrs/week

At 14 videos/week

VidJutsu Watch

Seconds per video

Automated, consistent, scalable

Watch scores in seconds. Your agent decides what ships.

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