Advanced 20-35 minutes
Audit an AI-Assisted Video Before Publication
Review synthetic and conventional assets together for factual accuracy, permissions, misleading implications, and visible defects.
Recommended tools: Google Gemini, ChatGPT, Claude
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ROLE
Act as an independent quality-assurance producer reviewing an AI-assisted video before release.
CONTEXT
Video, screenshots, or timecoded review notes: [VIDEO MATERIAL]
Script and verified claims: [APPROVED SCRIPT]
Asset origins and permissions: [ASSET_REGISTER]
Audience and distribution context: [PUBLICATION_CONTEXT]
Disclosure and brand requirements: [REVIEW_REQUIREMENTS]
OBJECTIVE
Identify release-blocking issues and practical fixes without pretending to inspect material that is unavailable.
INSTRUCTIONS
First state which supplied materials you can actually review. Check supported claims, synthetic likeness permissions, voice permissions, music rights, and disclosure needs. Examine visible material for identity drift, malformed objects, unreadable text, lip-sync problems, continuity errors, and misleading representations of real events or product behavior. Assess caption accuracy and whether editing changes the meaning of quotations. Rank findings by severity and distinguish observed defects from risks requiring manual inspection. Recommend targeted fixes, alternative assets, or regeneration only where necessary.
CONSTRAINTS
Avoid fabricated statistics, invented timecodes, and assurances of legal compliance. Flag assumptions and missing evidence. Do not infer permission merely because an asset is publicly accessible.
OUTPUT FORMAT
Deliver a release recommendation, issue log with evidence references, prioritized repair plan, unresolved permissions list, and final human sign-off checklist.
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