For creators and educators who use AI research: implement a repeatable routine to extract supporting passages, flag citation mismatches, and verify every claim across all your platforms before publishing.
What you will be able to do
- Build comprehensive claim-to-source packets: Create organized records containing source links, access dates, and the exact supporting statements. You will use these packets as a single source of truth to ensure every claim in your script is anchored to evidence.
- Extract precise evidence with AI: Use AI to automatically extract the specific passage from a long source that supports a particular claim. This eliminates manual hunting and ensures the exact wording of the source matches your content.
- Identify and flag citation mismatches: Implement a routine to spot instances where a citation is present but the source text does not actually support the claim. This prevents the 'citation gap' and protects your reputation from audience call-outs.
- Manage contradictory information: Set up a formal stop-rule to pause your production pipeline the moment a new source contradicts an existing claim. This ensures you resolve factual conflicts before any incorrect versions are published.
- Audit corrections across all platforms: Execute a systematic check to verify that a corrected fact is updated everywhere it appears. You will learn to track changes through captions, pinned comments, and spoken lines across different social platforms.
- Distinguish facts from personal experience: Apply the research-assistant standard to clearly separate verified factual information from your lived observations. This allows you to maintain transparency about what is proven and what is your unique perspective.
Taught at learn.c-o-u-r-s-e-s.com: lessons that adapt to your level, an AI tutor you can ask anything, quizzes and flashcards, and a certificate when you finish.
