← AI Foundations for Business

Lesson 4 — Quality Control: Catching Hallucinations Before They Cost You

Models don't lie. They guess fluently — and fluent guessing is what ends up in your client's inbox.

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  • A wrong answer sounds exactly as confident as a right one — fluency is not evidence.
  • Errors cluster in numbers, dates, names, citations, links and anything recent.
  • Asking the model 'are you sure?' is not verification; opening the primary source is.
  • Scale your checking to the stakes: skim internal notes, verify client work, get expert sign-off on legal and financial output.

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