AI output can sound polished while still containing unsupported claims. Fact-checking is the step that turns a draft into something a human can responsibly use. The goal is not to distrust every sentence. The goal is to identify the claims that need evidence, the assumptions that need context, and the wording that could mislead readers.

Mark every claim

Read the draft and highlight names, numbers, dates, prices, legal statements, medical statements, product guarantees and performance claims. These are not style issues. They are verification points.

Separate facts from recommendations

A recommendation can be based on experience or judgment, but a fact needs support. Ask the AI to produce a claim table with columns for claim, evidence needed, risk level and rewrite suggestion. Then verify the important claims with trusted sources.

Watch for hidden assumptions

AI often assumes audience knowledge, available budget, region, product features or policy details. If the source material did not provide those details, the final copy should either ask for them or remove the assumption.

Rewrite uncertain sections

If a claim cannot be verified quickly, change it to a lower-risk statement. For example, replace "this will increase conversions" with "this can make the next step clearer for readers".

Example prompt to try

Use this when an AI draft includes claims, examples, statistics, product statements, policy wording or recommendations that could affect reader trust.

Fact-check this AI draft. Create a claim table with claim, risk level, evidence needed, source status and safer rewrite. Separate facts from opinions and mark anything that should be removed.

After running the prompt, compare the answer with the checklist below. If the AI skips a missing detail, add that detail to the prompt rather than fixing the same issue manually every time.

Common mistakes

  • Checking grammar but not factual claims.
  • Leaving invented examples because they sound realistic.
  • Treating recommendations as verified facts.
  • Publishing dates, prices or policies without source review.

Practical checklist

  • Verify names, numbers and dates.
  • Remove invented prices and policies.
  • Flag medical, legal and financial claims.
  • Use cautious wording when evidence is limited.
  • Keep a human editor in the loop.

How to use this guide

Use the checklist as a review step before copying any AI output into public content, customer communication or team documentation. The examples on PromptKit AI are starting points, not replacements for human judgment.

For recurring work, save the final prompt with one example input and one example output. That record makes it easier to improve the prompt later because you can see exactly what worked, what failed and what context was missing.