AI Guides › Judgement & Guardrails
By Nigel Guy · 2 min read
It's one thing to know, in the abstract, that confidence and correctness are different things. It's another to actually recognise the specific shapes a confident wrong answer takes when it's sitting in front of you, because in the moment it rarely announces itself — it just looks like a normal, well-formed answer. Knowing the recognisable patterns is more useful than knowing the general principle.
The rule: confident wrong answers take a small number of recognisable shapes — learn the shapes themselves, not just the abstract warning, because the abstract warning doesn't fire on its own when you're actually reading one.
| Shape | What it looks like | How to catch it |
|---|---|---|
| The oddly precise number | A statistic or figure with unusual specificity — an exact percentage, a precise-looking total — with no stated source | Ask where it came from; recompute it if it involves arithmetic you can check |
| The plausible fake citation | A real-sounding author, title, and year, formatted correctly, attached to a source that doesn't exist or doesn't say what's claimed | Search for the source directly before citing it further |
| The smoothly wrong step | One step in an otherwise correct-looking sequence of instructions is subtly off, but reads with the same confident tone as the rest | Test or trace the sequence step by step, not just read it end to end |
| The confidently wrong date or version | A fact stated as current when it has since changed, presented without any hedge | Check anything time-sensitive against a current, dated source before relying on it |
| The invented but plausible name | A tool, method, function, law, or product name that sounds exactly like something that should exist, and doesn't, or doesn't do what's claimed | Search for it directly rather than assuming familiarity means it's real |
| The answer that agrees with what you hoped to hear | Correct-sounding validation of an assumption you already held, with no independent reasoning shown | Ask what would change the answer, and notice if you're inclined to skip that question here specifically |
Skip trying to memorise every possible failure mode — the value of the sheet is recognising the handful of common shapes fast, not building an exhaustive taxonomy. And skip assuming a shape not on this list means you're safe; treat the list as a starting set of pattern-matches, not a complete map of every way a confident answer can be wrong.