Asked for the UK ISA partial-transfer rule with a source, ChatGPT (free, web search on) cited…
Asked how long cooked chicken keeps in the fridge by a stated UK (Newcastle) user, Perplexity (web search on) led with US food…
Asked whether this year's ISA contributions can be partially transferred, Perplexity said they must be transferred in full, the…
I test which AI answers you can trust, where being wrong costs real money.
One email a week: which AI answers held up, which fell apart, and the prompts I’d run again.
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A short, plain-English path to trusting what AI tells you.
Four short reads. By the end you’ll have a simple check you can run on any answer that matters: a contract, a letter from a doctor, an email you’re not sure about.
Start with part 1 →AI stock picker: I asked three models if I should buy NVDA, and watched the methodology break
I asked three AI models whether to buy NVDA. Same confident tone from all three, and only one volunteered which of its own numbers not to trust yet.
Field NotesDoes ChatGPT make up sources? I checked two finance claims against the actual pages
Does ChatGPT make up sources? Mostly no, but I opened every link on two finance questions and found a real gov.uk page that didn't back the claim.
Field NotesDoes web search make AI more accurate? I ran the same questions both ways
Does web search make AI more accurate? I ran the same questions both ways. It didn't make the answers more reliable. It moved where the errors hide.
// The Method Four prompts that stop AI inventing the answer.
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