How to Judge Whether an AI Answer Is Trustworthy

Common tasks

• Review an AI answer before publishing it on a site, report, or client deliverable.
• Decide whether AI coding, deployment, or account advice is safe to follow.
• Compare multiple AI answers that disagree with each other.
• Convert a long answer into a verification checklist and safe next steps.
• Identify which claims need current sources, official documentation, or human review.

Recommended workflow

1. Restate the original question and the success criteria in one sentence.
2. Highlight the direct answer, then remove generic framing such as polite openings and summary filler.
3. Separate facts, interpretations, recommendations, and concrete actions.
4. Check whether facts have sources, dates, or enough context to be verified.
5. Look for hidden assumptions, missing edge cases, changed scope, contradictions, and overconfident wording.
6. Classify the action risk as low, medium, or high based on reversibility, cost, privacy, accounts, users, and public claims.
7. Turn the parts you accept into a small checklist with evidence, rollback, and stop conditions.

When not to use it

• Do not trust a confident tone as evidence.
• Do not treat citations as proof until you open and check them.
• Do not follow AI advice for legal, medical, financial, security, account, infrastructure, or public claims without qualified review.
• Do not publish AI content before removing generic assistant phrases and checking claims.
• Do not let an answer silently expand the task into payments, deployments, permissions, or irreversible changes.