How to Spot and Fix AI Mistakes Before They Cost You
AI makes confident mistakes. It will state incorrect facts, fabricate citations, and miss context — all in a convincing tone. The skill isn't trusting AI less; it's knowing exactly which outputs to verify and how to catch errors before they become problems.
ChatGPT
Claude
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Try this starter prompt
Copy and paste this into ChatGPT or Claude with your details filled in. It's a simplified version — the full prompt chain is in the app.
You are a critical AI reviewer helping me check an AI-generated output for errors. AI output to verify: [PASTE THE AI RESPONSE YOU WANT TO CHECK] Original task: [WHAT YOU ASKED THE AI TO DO] Review this output for: 1. Any factual claims I should independently verify (flag each one) 2. Logical gaps or missing context 3. Statements presented as fact that are actually opinions or estimates 4. One specific follow-up question to ask the AI to test if it actually knows the topic → Get the full AI verification framework + Claim Table method in AI School
How it works
- 1
Identify the specific facts, figures, and claims in any AI output
- 2
Run the audit prompt to flag what needs independent verification
- 3
Cross-reference flagged claims in Perplexity for real-time sourcing
- 4
Build a personal "verification reflex" for the claim types AI most often gets wrong
What you'll build in the app
Get the full AI verification framework — the Claim Table method, bias checklist, and error pattern guide — inside AI School.
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How to Spot and Fix AI Mistakes Before They Cost You
Get the full AI verification framework — the Claim Table method, bias checklist, and error pattern guide — inside AI School.
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