Direct answer
Set a review threshold by deciding which outputs require light review, expert review, legal or compliance review, client approval or no AI use. Use risk, visibility, factuality, brand sensitivity and consequence as the deciding factors, not only how confident the AI sounds.
Why it matters
This answer keeps human accountability visible in AI-assisted work. It should help readers separate source-grounded claims, useful inferences, review thresholds, unsupported output and decisions that still need human judgement.
What to check
- Which claims are source-derived, inferred, assumed or unsupported?
- What review threshold applies?
- Who owns the final judgement before publication or client use?
Common mistake
Mistaking fluent AI output for grounded, reviewed and accountable work.
Caveats
Low caveat risk: suitable for publication from the available source pack, but still avoid pricing, guarantees, unsupported service promises or claims not visible in the linked public ecosystem.