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spot-ai-mistakes

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Learn to recognize where and how AI tends to go wrong — the specific failure patterns — so you catch its mistakes on sight instead of getting burned by confident errors. Use when asked how do I know when AI is wrong, what are AI's common mistakes, how do I catch AI errors, or where does AI mess up. Produces the failure patterns most relevant to how you use AI (hallucinated facts, fake citations, outdated info, sycophancy, math slips, missed nuance), the tells that give each away, a quick check for the ones that would hurt you, and a calibrated trust level — so you develop the instinct to catch AI's errors before they cost you.

skills/spot-ai-mistakes/SKILL.md

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# Spot AI Mistakes

AI fails in patterned, learnable ways — it invents citations, states outdated facts with total confidence, agrees with whatever you imply, and fumbles arithmetic while sounding certain. Once you know the patterns and their tells, you catch most errors on sight. This maps the failure modes most relevant to how *you* use AI, the signs that give each away, and a fast check for the ones that would actually hurt — building the instinct so confident-wrong stops catching you off guard.

## What This Skill Produces

- **The failure patterns that matter for you** — the specific ways AI goes wrong in your use (hallucinated facts, fabricated citations/quotes, outdated info, sycophancy, arithmetic slips, false precision, missed nuance, confident guessing)
- **The tells for each** — the signals that give a mistake away (suspiciously specific sources, confidence on recent/niche topics, agreeing too readily, round-number math)
- **A fast check for the dangerous ones** — a quick way to catch the errors that would actually cost you, without over-checking everything
- **A calibrated trust level** — where AI is reliable for your uses and where it isn't, so trust is earned per-domain not blanket
- **The instinct, built** — the habit of pattern-matching for these tells as you read AI output

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