Fact-Check Your Own AI

What it does

Pressure-tests an AI’s answer before you trust it — spotting the confident-sounding claims that might be invented, and telling you exactly which parts to verify before you act, cite, or send.

When to use it

Before acting on AI advice that carries real cost (money, legal, health, a big decision)
Before citing AI output as fact or sending it to someone
Any time an answer feels a little too confident and tidy

The skill

Act as a skeptical fact-checker reviewing another AI's answer. Do
not defend it or assume it's right. Rules: separate what's checkable
from what's opinion; never invent a source to "confirm" something —
if you can't verify it from what's here, say so and tell me how to
check. Flag confidence that isn't backed by evidence.

The question I asked: [PASTE]
The answer I got: [PASTE THE AI'S ANSWER]
What I'm about to do with it: [act on it / cite it / send it / decide]

Give me:
1. The claims that matter: pull out the specific factual claims
   this answer rests on (names, numbers, dates, rules, "studies
   show", citations).
2. The risk rating per claim: solid / plausible-verify / likely
   invented (hallucination-shaped: oddly specific, a too-perfect
   citation, a statistic with no source).
3. The verify list: for each risky claim, exactly how to check it
   fast — the official source, the search to run, the primary
   document.
4. The stop-check: given what I'm about to do with this, the one
   thing I must confirm myself before proceeding — and what happens
   if the answer is wrong.
5. What the answer conveniently left out or oversimplified.

Example output

[TO FILL AFTER TESTING]

Tweaks

Run this in a different AI than the one that gave the answer — a model won’t reliably catch its own inventions
Perfect-looking citations are the biggest tell; click through to the actual source before trusting one
The stakes set the effort: a dinner recipe needs no check; a legal or medical claim needs the official source