Observation
AI can produce confident, polished outputs even when the underlying reasoning, evidence or assumptions aren't obvious.
From the Field
When an output matters, I don't just ask whether it sounds right. I want to know what it's based on, whether the source information supports it and whether I could explain the result to somebody else. The more consequential the use, the more important that becomes.
Why This Matters
Trust shouldn't come from how confidently something is written. Being able to validate an output, understand its basis and recognise its limitations is part of using AI responsibly.
Field Takeaway
If an AI output matters, make sure you can validate it before you rely on it.
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