An AI response can contain a well-structured explanation and still get an important detail wrong. The same confident style may appear in a supported statement, a mistaken calculation, or a reference that does not exist.
Identify the claims that matter to the task and check them against an appropriate source or direct observation. Inspect references themselves rather than assuming that a realistic title points to a real document.
Keep uncertainty in the working result until the check is complete. A draft can still be useful as a starting point, but the step from plausible text to a dependable conclusion requires evidence beyond the tone of the answer.
Try the idea in context.
Consider an assistant describing a setting in a familiar application. Check the current interface before following an instruction that only sounds plausible.
A thought for the next read.
A small trial should have a clear stopping point. Decide which uncertainty the tool can help explore and what observation would answer the next question.
- Identify the claims that materially matter.
- Open and inspect cited references.
- Keep unverified details visibly provisional.
Follow a related question
Explain the purpose of important choices.
Trust is visible in the detailsName the group behind the percentage.
The denominator changes the storyKeep learning
Related background to continue exploring this subject.
NIST: AI risk management framework Google: prompt design strategies

