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How to use AI to critique and stress-test your work
Executive overview
Most people ask AI to polish their work, not challenge it. A structured critique prompt forces AI to find what's incorrect, unclear, biased, or incomplete — then propose fixes.
A named, persistent critique agent acts as a mandatory second opinion before anything leaves your desk.
The core critique prompt
- Instruct AI to review for: incorrect, weakly supported, unclear, incomplete, biased, impractical, verbose, or improbable content
- Add a corrective step: "propose better alternatives and provide a revised version"
- Customise the criteria to your context — policy compliance, CFO lens, operating procedures
How Charles works (the full system)
- First step: AI infers what you were actually trying to achieve
- Quality gates: factual accuracy, logical soundness, completeness, relevance, clarity, structure, safety, practicality
- Diagnostic output: each issue rated by severity and confidence
- Fixes: problem type, location, and specific remediation suggested
- Alternative approaches offered for flagged sections
When and what to use it for
- Anything you'd want a second opinion on: emails, documents, reports, slide decks, social posts, analysis
- Works even when AI generated the original output — it will still find flaws
- Treat it like spell check: run it before anything goes to a colleague or stakeholder
- You retain judgment — accept, reject, or override suggestions as context demands
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