How-To Guides
How to Fact-Check AI Answers Before You Publish
A workflow for checking AI-generated facts, sources, dates, claims, and tool recommendations before publishing.
AI answers often sound more certain than they are. Before publishing a recommendation, summary, or tutorial, separate what the model claims from what you can verify.
Who this helps
This workflow is for people who already have source material and need a faster way to organize, rewrite, compare, or present it. It is not for replacing review, consent, attribution, or professional judgment.
What to prepare
- The AI-generated draft.
- Official websites or primary sources.
- A list of factual claims, dates, prices, and feature statements.
- A place to record changes and source links.
Step-by-step workflow
1. Extract claims
Ask the AI to list every factual claim it made, including tool features, availability, prices, and comparisons.
2. Find primary sources
Check official documentation, product pages, help centers, or original reports before relying on summaries.
3. Mark uncertainty
Rewrite claims that cannot be verified as cautious guidance or remove them.
4. Check dates
Make sure time-sensitive statements include an updated date or avoid exact claims.
5. Review final wording
Remove phrases that imply official partnership, guaranteed results, or fake user consensus.
Example prompt
Please audit this AI-generated draft. Return a table with:
1. Factual claim
2. Why it matters
3. Source needed
4. Whether the claim is safe to publish
5. Suggested safer wording
Draft:
[Paste draft here]
Recommended tools
- Perplexity
- ChatGPT
- Claude
- Gemini
- DeepL Write
Human review checklist
- Are the source facts still accurate?
- Did the tool invent a quote, number, source, feature, or price?
- Does the output match the audience and channel?
- Is private information removed before sharing?
- Does the final version include human judgment?
When not to use AI
Do not use AI as the final authority for legal, medical, financial, immigration, safety, or academic-integrity decisions. Use it to organize work, then verify the important parts.
FAQ
Can this workflow be reused?
Yes, but the input material and review criteria should change with the task. A meeting workflow is not the same as a research workflow.
What makes the output trustworthy?
Trust comes from source checking, clear assumptions, and human review. A polished answer is not the same as a verified answer.
Should I pay for a tool to do this?
Only after the tool saves time on a repeated workflow and the paid features solve a real limit.
Related tools
Perplexity, ChatGPT, Claude, Gemini, DeepL Write.
Disclaimer
This tutorial is practical guidance. Tool features and limits can change, so check official documentation before relying on a workflow.