Quick fixes AG-V003
Raise the checking with the stakes
Shared methods · A shared method; linked tool guides explain the exact steps.
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The same answer deserves a skim when it names a restaurant and a real verification when it names a medication dose. Scale the check to the cost of being wrong.
I'm about to act on this, and it matters? Here's the quick fix ↓ — the why sits right below it.
Quick fix: Raise the checking with the stakes
Instead of Treat every answer with the same default trust, whatever rides on it.
Try Before acting, ask one question of yourself, not the model: what does it cost me if this is wrong? Money, health, legal position, someone else's trust → the answer graduates from "read" to "verify", or to "ask a professional".
Why this works
The model's confidence is flat: it sounds equally sure about a film recommendation and a tax deadline. Your verification effort should not be. The failure is not trusting AI too much in general — it is spending the same two seconds of trust on outputs whose failure costs differ by a factor of a thousand. A stakes check is one deliberate beat, and it is the beat that decides whether an error becomes an anecdote or an incident.
When this applies
The answer is about to touch money, health, law, safety, or another person's interests — especially when it arrived fluently inside an otherwise casual conversation, which is exactly when the beat gets skipped.
Template
Before I act on this: the cost of being wrong is [low / real / severe]. If real: verify the load-bearing claim against a source I can open. If severe: this needs a qualified human, and the AI's job was to prepare better questions for them.
Go deeper
Where the honest answer is "don't use it for this at all", when not to use it draws those lines. The verification methods are in verifying what you cannot judge, and the arriving-at-the-expert-prepared framing is that page's best trick.
Improve next
- Check it before you act on it
Worth verifying before relying on this.
- For current facts, make it search
For current facts, use a source-backed search.
Something wrong with this page?
Say what you expected and what you got. That is usually the shortest route to a correction, and it goes on the public issue tracker so the fix is visible.