A Fact-Checking Checklist for Claude's Answers
Use this checklist before you repeat, publish, or act on a specific claim, number, or citation that Claude gave you.
It turns the Discernment and Diligence skills from the AI Fluency Framework into a concrete, repeatable routine.
How to Use This Checklist
- Not every item applies to every answer; scale your effort to the stakes of what you're doing.
- Work through the tiers in order: Tier 1 first, since it screens out the biggest risks fastest.
- For a low-stakes, casual question, Tier 1 alone is often enough.
- For anything you'll publish, ship, or hand to someone else, work through all three tiers.
- Keep a running note of what you verified and how, especially for longer documents with many claims.
Tier 1: Triage the Answer (do this first, always)
- Identify the load-bearing claims: find the one to three specific facts, numbers, or claims your decision most depends on.
- These are the ones worth the most scrutiny; you don't need to verify every sentence.
- Separate fact from framing: mark which sentences are verifiable facts and which are Claude's interpretation, summary, or opinion.
- Interpretation isn't wrong by default, but it shouldn't be treated as a verified fact.
- Check for hedging language: note any place Claude used words like "likely," "I believe," or "I'm not fully certain."
- Treat a hedge as a direct signal to verify that specific point before relying on it.
- Scan for suspiciously precise numbers: flag any statistic given to an oddly exact decimal or figure with no stated source.
- Precise-sounding numbers can be generated the same way as any other text and are not automatically accurate.
- Note any citation or named source: list every study, article, author, or publication Claude referenced.
- Each one goes into Tier 2 for independent confirmation.
Tier 2: Verify Specific Claims
- Search for the claim independently: look up the fact or number using a search engine, a primary source, or a domain-specific reference.
- Don't stop at the first result that happens to agree; check that it's actually a credible, relevant source.
- Confirm the citation actually exists: for any named study, article, or publication, verify it is real before trusting the claim attributed to it.
- A fabricated citation is one of the more common hallucination patterns, so this step is not optional for anything you'll cite yourself.
- Confirm the source says what was claimed: open the source and check that the specific claim actually appears in it, not just that the source exists.
- Sources are sometimes real but the claim attributed to them is not accurately represented.
- Check the date and recency of the claim: confirm whether the fact is still current, especially for fast-moving topics.
- An accurate fact from an outdated source can still mislead if presented as current.
- Verify numbers against their original unit and context: confirm a statistic isn't being applied to the wrong population, time period, or scope.
- A correct number used in the wrong context produces a misleading claim even though the number itself is accurate.
- Cross-check with a second independent source when the claim is significant: don't rely on a single confirming source for a high-stakes claim.
- Two independent sources agreeing is stronger evidence than one, especially for contested or unusual claims.
Tier 3: Review the Whole Answer
- Re-read for one-sided framing: check whether the answer favors one interpretation without acknowledging reasonable alternatives.
- This overlaps with watching for bias, not just factual accuracy.
- Check internal consistency: confirm the answer doesn't contradict itself between its introduction, body, and conclusion.
- Long answers can drift and produce quietly conflicting claims.
- Re-verify assumptions carried over from earlier in the conversation: for long threads, confirm an early detail Claude is still relying on hasn't been misremembered.
- Verification needs to be renewed across a conversation, not performed once at the start.
- Decide what still needs a disclaimer: for anything you didn't fully verify, note that explicitly rather than presenting it with full confidence.
- Passing along unverified claims as settled fact shifts risk onto whoever reads your work next.
Applying the Checklist in Order
- Tier 1 (fast, always): takes a minute or two and screens the answer for where your attention is actually needed.
- Tier 2 (targeted): apply only to the load-bearing claims identified in Tier 1, not the whole answer.
- Tier 3 (holistic): reserved for anything going to publication, production, or another person, since it checks the answer as a whole rather than claim by claim.
FAQs
Do I need to run this whole checklist for every Claude answer?
- No, scale the depth to the stakes of the task.
- A casual question usually only needs Tier 1.
- Anything you'll publish, cite, or act on for someone else deserves all three tiers.
What counts as a "load-bearing" claim?
- It's the specific fact, number, or claim that your decision or output most depends on.
- Not every sentence in an answer carries equal weight, so this step helps you focus effort where it matters.
- A good test: if this one claim turned out to be wrong, would your conclusion change?
How do I check if a citation Claude gave me is real?
- Search for the author, title, and publication independently rather than assuming it exists because it was mentioned.
- If you can't find it through a normal search, treat it as unverified rather than repeating it as real.
- Even when a source is real, separately confirm the specific claim actually appears in it.
What should I do if Claude hedges with "I'm not fully certain"?
- Treat the hedge as a direct instruction to verify that specific point before relying on it.
- Ask what specifically is uncertain if it isn't clear from context.
- Don't assume the rest of the answer is fully certain just because one part was flagged.
Is a precise-looking number more trustworthy than a rounded one?
- No, precision in how a number is stated says nothing about whether it's accurate.
- A suspiciously exact figure with no stated source is actually a reason for more scrutiny, not less.
- Trace any number that matters back to its original source before repeating it.
What if I can't find a second source to confirm a claim?
- Note explicitly that the claim is only single-sourced or unverified rather than presenting it as settled.
- Consider whether the claim is important enough to justify more searching, or better left out.
- For high-stakes claims, absence of a second source is itself useful information.
Why does the checklist include re-checking assumptions from earlier in the conversation?
- Long conversations can drift, and Claude may misremember or reconstruct an earlier detail rather than recall it exactly.
- A claim that was correct ten messages ago may no longer be accurately represented later in the thread.
- This is part of treating verification as continuous rather than a single end-of-task check.
How is this different from checking for bias?
- Fact-checking targets whether specific claims are true.
- Checking for bias targets whether the overall framing is fair and complete.
- Tier 3's "one-sided framing" step is where the two overlap, but they catch different problems overall.
What's the fastest version of this checklist for everyday use?
- Identify the one or two claims your decision most depends on.
- Search for each independently and confirm the source actually says what was claimed.
- Note anything you didn't fully verify rather than presenting it as certain.
Should I tell people when I haven't fully verified something Claude produced?
- Yes, a short disclaimer is far better than passing along an unverified claim as settled fact.
- It shifts the responsibility appropriately and lets the reader decide how much weight to give it.
- This habit builds trust over time, since it shows your verification process is honest rather than assumed.
Related
- Why Claude Sometimes Hallucinates - the mechanism behind the confident-but-wrong claims this checklist catches.
- Bias in AI Outputs: What to Watch For - a related check for framing, not just factual accuracy.
- Signs an AI Output Needs a Second Look - red flags that often trigger the need for this checklist.
- Discernment & Diligence Basics - starter habits this checklist builds on.
Stack versions: Written against the Claude model lineup current as of ~June 2026 - Claude Fable 5, Claude Opus 4.8, Claude Sonnet 5 (the default), and Claude Haiku 4.5. Model names, pricing, and product features move quickly - verify current specifics at platform.claude.com/docs before relying on them.