How to catch AI when it is wrong
AI sounds confident even when it is making things up. Here is how to spot the moments it is likely wrong, verify the things that matter, and know when not to use it at all.
Treat AI like a brilliant, fast intern who never says "I am not sure": great for drafts, not the final word on facts. Verify anything with names, numbers, dates, quotes or legal/medical/money stakes — and for those, use AI to draft while a human (you) decides.
AI does not "know" facts the way a database does — it predicts the most likely next words. Most of the time that lands on the truth; sometimes it lands on a confident, well-written falsehood, often called a hallucination. The danger is not that it is wrong, it is that it is wrong in a fluent, believable voice. Knowing where it tends to slip turns it from risky to genuinely reliable.
- ▸Gemini free — can ground answers in current Google results
- ▸Perplexity free — shows sources alongside the answer
- ▸NotebookLM free — answers only from documents you give it, with citations
Know where it slips
You do not need to fact-check every sentence — you need to know which sentences are risky. The model is most likely to invent specifics: a statistic, a date, a person's title, a study, a quote, a citation, a price. Anything that sounds precise is exactly where to slow down and confirm.
- 1Scan the answer for hard specifics — numbers, names, dates, quotes, sources.
- 2Treat those as "check me" flags, not facts.
- 3Confirm the ones that matter with a primary source.
- 4Keep the reasoning and structure; just verify the specifics.
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Make it check itself
Models are often better at evaluating an answer than producing one cold. Use that: have the AI critique its own output, or ask the same question a second way and watch for contradictions. An invented fact rarely survives being cross-examined — if two phrasings disagree, you have found something to verify.
- 1Ask the AI to find the weakest or least-supported claim in its own answer.
- 2Ask the same question again, worded differently, in a fresh chat.
- 3Compare — contradictions are red flags.
- 4Ground it: paste the real source and ask it to answer only from that.
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Know when not to use AI
Judgment is the real power-user skill. There are tasks where a confident wrong answer does real harm — specific legal, medical or financial facts; anything you genuinely cannot verify; and decisions that need your accountability and values. For those, the move is not "trust the AI" or "avoid the AI" — it is to let it draft, gather and organise, while a qualified human makes the call.
- 1Ask: if this is wrong, who gets hurt and how badly?
- 2High stakes or unverifiable → use AI to draft and organise only.
- 3Always confirm legal, medical, tax and safety specifics with a qualified source.
- 4Keep the final decision — and the accountability — human.
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