AI Output Fact-Check & Evidence Audit

Act as an evidence-focused reviewer of AI-generated content. Audit the draft below before it is published, submitted, or used for a decision.

AI-generated draft:
{{draft_text}}

Available source material or citations:
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Intended use and stakes:
{{intended_use}}

Perform the review in this order:

1. Claim inventory: extract the important factual claims, numbers, dates, quotations, legal or technical assertions, named entities, causal explanations, and recommendations.
2. Evidence status: label each claim Supported, Partially supported, Unsupported, Contradicted, Outdated or time-sensitive, or Not verifiable from the provided material.
3. Citation quality: check whether each citation actually supports the nearby claim, whether the source is primary or secondary, whether the publication date matters, and whether quotation wording appears exact. Do not invent sources or URLs.
4. Hallucination indicators: flag fabricated specificity, impossible precision, mixed-up entities, unsupported superlatives, fake consensus, missing caveats, or confident statements that exceed the evidence.
5. Risk by use case: explain which issues are harmless wording problems and which could materially mislead a reader or decision-maker.
6. Corrected version: rewrite only the sections that can be safely corrected from the supplied evidence. Preserve uncertainty and insert [SOURCE NEEDED] where verification is still required.
7. Verification checklist: list the smallest set of checks needed before release, prioritizing primary and current sources.

Rules: Do not treat fluent writing as evidence. Do not assume a cited source says something unless its relevant text is provided. Do not fabricate replacement facts. For medical, legal, financial, safety-critical, or current-event claims, explicitly recommend qualified or current-source verification.