For creators and production teams managing multiple platforms: learn to trace a corrected fact through every script, edit and scheduled post using a claim register and AI search to maintain audience trust.
What you will be able to do
- Build a central claim register: Create a record that links every factual claim to its source and date. Use this register to track exactly which TikTok scripts, YouTube chapters, or Instagram posts are using specific data points.
- Execute factual handoff tests: Run alignment checks between your production assets and the claim register. You will learn to spot discrepancies in on-screen text and reject any asset that does not match the approved source.
- Automate cross-draft searching: Configure proactive AI agents like Dots or Claude Duet to search across multiple documents. Rapidly locate every instance of a corrected fact across all platform-specific drafts and assets.
- Audit video exports via transcripts: Use AI to scan transcripts of finished video exports. Identify specific spoken lines that contain errors, allowing you to decide between a full re-recording or a targeted text overlay.
- Coordinate production holds: Implement the 5:30-to-4:30 workflow to pause all dependent scripts and scheduled posts. Coordinate updates for captions and carousels to ensure no incorrect facts reach your audience.
- Draft honest public corrections: Write transparent corrections and audience replies that avoid overselling the error. Apply the 'stay the author' principle to admit mistakes in a way that maintains professional credibility.
Taught at learn.m-a-s-t-e-r.ai: lessons that adapt to your level, an AI tutor you can ask anything, quizzes and flashcards, and a certificate when you finish.
