The Dunning‑Kruger Trap in AI: Why Polished Answers Can Mislead, and How to Test Quality in Your Own Domain
You ask an AI to summarize market trends for your niche. The write‑up looks crisp. It quotes percentages, names a few reports, and even suggests next steps. You paste it into a slide. Then a customer emails back pointing out that two “citations” don’t exist and a definition is off by your industry’s standard. Ouch….