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Your First Week with AI

LESSON 5 OF 6

Catch what it gets wrong

BY THE END OF THIS LESSON

Spot a confident wrong answer before it costs you.

Confidence is not a signal

2 options, side by side.
Fluencythe same calm, well-structured prose
Accuracyseparate from fluency

A model does not sound less certain when it is making something up. That is the single most important thing to internalise. Fluency and accuracy are separate — a fabricated statistic arrives in the same calm, well-structured prose as a real one.

The five high-risk categories

The answer, with 3 lines flagged.
The answer
Numbers and statistics
Quotes and who said them
Citations, studies and case law
Rewriting your own material

Treat these as unverified until you check: numbers and statistics, quotes and who said them, citations, studies and case law, anything after the model's training cutoff, and niche local specifics — a small company, a local regulation, a particular product's current spec.

Low risk: structure, explanation, rewriting your own material, brainstorming, code you are about to run and test.

Two habits that catch most of it

A prompt, split into 2 parts: Ask after — For each factual claim above, tell me how I could verify it.; Supply — Here is the benchmark report I downloaded. Only figures in this document..
Two habits
Ask afterFor each factual claim above, tell me how I could verify it.
SupplyHere is the benchmark report I downloaded. Only figures in this document.

Ask for the source, separately. Not "cite your sources" inside the same answer — models will invent plausible citations. Ask afterwards: "For each factual claim above, tell me how confident you are and how I could verify it."

Supply the facts yourself. The single most reliable pattern is to paste the real document and ask it to work on that. It cannot hallucinate a number you handed it.

WORKED EXAMPLE

RISKY

"Write me a blog post about email marketing benchmarks, with statistics."

SAFE

"Here is the benchmark report I downloaded [paste]. Write a blog post using only figures that appear in this document. If you want to make a claim the document does not support, flag it in brackets instead of writing it."

The first invites fabrication — you asked for statistics and gave it no way to get real ones, so it will produce plausible-looking numbers. The second makes fabrication structurally impossible and gives you a visible marker wherever it wanted to overreach.

YOUR TURN

Audit an answer you already received.

RUN THIS

Go back over your last answer and produce a table with three columns: the claim, how confident you actually are in it (high / medium / low), and exactly how I could verify it. Include every factual claim, including ones you think are obviously true. Do not defend the answer — just audit it.

What a good result looks like

There should be some mediums and lows. An audit that marks everything "high" is not an audit — reply with "which of these would you be least surprised to be wrong about?"

KNOWLEDGE CHECK

Answer all 3 correctly to complete this lesson.

  1. 1. Which is the strongest defence against fabricated statistics?

  2. 2. Which task carries the LOWEST hallucination risk?

  3. 3. A model states a figure very confidently. What does that tell you?

REMEMBER THIS

Fluency is not accuracy — supply the facts, or verify the ones it supplies.

Go deeper — read the full guide