Hallucination is when an AI produces something that sounds plausible but is false, unsupported, or invented. This is not a rare edge case. It is a normal model failure mode.
Ask the model to separate facts from assumptions. Request a concise answer first, then ask: Which parts of this answer should I verify independently?
For important tasks, compare the output against original source material, an approved document, or another reliable source. The goal is not to distrust everything equally. The goal is to verify the pieces that matter before you act on them.
AI systems are optimized to produce probable language, not guaranteed truth. Polished writing is not evidence.
Hallucination is when an AI produces something that sounds plausible but is false, unsupported, or invented. This is not a rare edge case. It is a normal model failure mode.
Ask the model to separate facts from assumptions. Request a concise answer first, then ask: Which parts of this answer should I verify independently?
For important tasks, compare the output against original source material, an approved document, or another reliable source. The goal is not to distrust everything equally. The goal is to verify the pieces that matter before you act on them.
AI systems are optimized to produce probable language, not guaranteed truth. Polished writing is not evidence.