Check an AI video against an acceptance brief, not only overall visual appeal. A clip can look impressive while a face changes, a product label mutates, an object passes through another, or the final crop hides the subject. Review at normal speed, frame by frame at difficult moments, and in the intended delivery environment.
Keep the source image and native generated file. Editing and compression can introduce separate problems, so each stage should be distinguishable.
Check identity and object integrity
Compare faces, product shapes, logos, text, hands, accessories, and distinctive marks with the authorized source. Inspect the first, midpoint, and last frames plus every occlusion or rapid movement. Reject changes that alter the meaning of the subject, even if the transition is smooth.
Look for disappearing parts, duplicate objects, inconsistent reflections, and impossible contact. Generated motion is a proposal; realism in one frame does not guarantee coherent behavior across the sequence.
Check temporal stability and motion
Watch for brightness pulsing, texture shimmer, edge crawling, abrupt speed changes, camera movement that conflicts with the brief, and a final frame that drifts from the starting identity. Step through the native file before applying frame interpolation or stabilization.
Confirm duration and frame rate, and make sure the timeline did not unintentionally drop or duplicate motion. Compare the native and delivery exports to locate any new cadence or codec artifact.
Check framing and delivery
Open the exact exported file at its intended ratio and resolution. Test on the target phone, browser, or player with captions and controls visible. Check safe areas, thumbnail, poster frame, color, audio sync when present, and whether the codec is supported by the destination.
Do not assume a successful editor preview proves the upload. Some services transcode, crop, or select a different cover after processing. Review the published draft before releasing it broadly.
Check provenance, permission, and disclosure
Record the source, permission basis, prompt, product/model version when available, date, native output, edits, and reviewer. Check privacy, identity, intellectual-property, and deception risks in context. High-stakes or public claims need stronger evidence than an internal concept test.
Label generated or materially altered media where viewers could otherwise mistake it for a real event. Disclosure supports trust but does not cure an unauthorized source or a misleading use.
Conclusion
A publishable AI clip must pass content, temporal, delivery, and provenance checks. Use a written pass/fail record and keep native evidence. Diagnose flicker, face drift, or cropping with the focused guides.
Editorial note: This answer was drafted with AI assistance, then checked and edited against the sources listed below on September 13, 2026. It does not report an unperformed product test.
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