The summary three people used

A postdoc asks an assistant to turn a six-page lab protocol into a one-page bench sheet for the new technician. It reads well. Every rule has a number. The technician prints it, tapes it above the bench and follows it for two weeks. Then the group leader notices that the sheet says "flag when the two readings differ by 5% or more". The protocol says "more than 5%". Twelve samples were flagged that should have been reported, and one reading that should have been flagged went into a figure.

In a company it's a customer service lead who asks for a one-page FAQ on a supplier's new service terms, for the four colleagues who answer customers. The FAQ promises a replacement "within two business days". The terms promise only an acknowledgement within two business days. Three customers are told a date nobody agreed to.

In both cases the draft looked exactly like a good one. That's the problem: a correct answer and a wrong one have the same tone, the same formatting and the same confidence. You are at Level 2 Power user: your team sees the result. When your output is wrong, colleagues act on it, and the error spreads before anyone checks. This book gives you a check that runs on where the output is going, not on whether it feels suspicious.

After this you can

  • Sort any AI output into green, yellow or red by where it goes, in under a minute.
  • Run the five-step check on a red item and find the source line behind every material claim.
  • Spot the four errors that turn up most often: numbers, references, claims about a document, and missing conditions.
  • Attach a check note that lets a colleague trace three claims to the source in two minutes.
  • Re-check the version that actually leaves your desk, not the draft you checked earlier.

Before you start

  • Books: T01-L01 · From Idea to Working Result: The Four-Quadrant Method for the four-quadrant method and the four facts about assistants. This book is the check that sits inside Build it whenever the result goes to someone else.
  • The assistant your team already uses, with the source file attached. This book uses Claude; ChatGPT works the same way.
  • One real team deliverable that is due soon and was drafted with AI: a summary, an FAQ, a figure caption, a meeting brief.
  • The source it was made from, with a version or date.
  • One colleague who will receive it and can spare five minutes.