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Free lesson preview · Lesson 6 of 10 · 11 min

Spotting When AI Is Wrong

Confidently catch AI mistakes and hallucinations, and know exactly what to verify before you rely on it.

Here's the skill that keeps you safe: knowing that a confident answer is not the same as a correct answer. The AI writes everything in the same self-assured tone whether it's certain or completely making it up. That invented-but-confident stuff is called a hallucination — a made-up fact, statistic, quote, price, law, or source that sounds real.

The good news: you don't need to verify everything. You need to verify the things where being wrong actually costs you. Split every answer in your head into two buckets: - Trust the wording — tone, phrasing, structure, ideas, drafts. If it words your email nicely, that's just language; there's no 'fact' to be wrong about. - Verify the facts — any number, price, date, name, statistic, legal or tax claim, medical claim, or 'according to [source]'. Check these against your own records or a reliable source before you send or act.

In practice

Any owner keeps the AI's wording and ideas, but verifies every number, date, source, and legal claim before relying on it.

The rest is free too — it just needs a seat.

  • The full lesson, including the parts that do the heavy lifting
  • 2 copy-paste prompt templates
  • A worked example — real prompt in, real output out
  • A do-it-now checklist
  • The 2 mistakes everyone makes (and how to dodge them)
  • A quick check-your-understanding quiz
  • Practice on YOUR business with Alta, the AI coach
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