AI-generated text can sound confident even when a detail is incomplete, outdated or wrong. The safest workflow treats generated material as a draft that needs review—not as an authoritative source. This matters especially when content includes statistics, quotations, product claims or advice that may affect a decision.
Separate claims from explanations
Mark every checkable claim: names, dates, statistics, quotations, product capabilities, policy statements and descriptions of events. Broad explanations may also contain claims worth checking.
Prioritize claims that could mislead a reader or materially change a decision.
Trace claims to original sources
Prefer primary sources such as official documentation, published research, government data and original statements. Secondary reporting can provide context, but should not replace an original source when one is available.
Open the source yourself. A citation title or URL generated by a model is not proof that the source exists or supports the claim.
Check numbers, dates and quotations
Confirm the unit, time period, population and methodology behind every statistic. A percentage without a denominator or date can mislead.
Check quotations word for word and in context. If the original wording cannot be located, remove the quotation or qualify the statement.
Record the review
Keep a source log with the claim, source title, publisher, date checked and reviewer note. This makes later updates easier.
Mark unresolved points for removal or qualification. Do not leave a precise claim in the final copy simply because it sounds plausible.
Publish with transparent limits
Use language that matches the strength of the evidence. Explain when a result is based on a limited test, a provider's own description or a changing feature.
After publication, revisit pages when key sources change. Useful content is maintained, not merely published once.
Key takeaways
- Treat AI output as a draft, not a source.
- Break the draft into claims that can be checked.
- Prefer primary sources and open them directly.
- Verify dates, units, quotations and context.
- Remove or qualify claims that cannot be confirmed.
Frequently asked questions
Can I trust AI-generated citations?
Not without checking them. Confirm that each source exists and directly supports the statement.
What should I check first?
Prioritize statistics, quotations, policy statements, product capabilities and consequential claims.
Should I publish an AI-generated article without editing?
A responsible process includes human review for accuracy, usefulness, originality, attribution and privacy.