T13-L03 · Adoption & enablement · Level 3 Builder · 15-minute read, plus 3 hours of doing

Three people, three guesses

In a research group of ten, one PhD student pastes abstracts into a personal chatbot account every week. A postdoc uploads the group's meeting notes to a different one, because nobody said she couldn't. A third colleague uses nothing at all, because he's sure it's all forbidden. When the student asks the PI, the group leader, whether an unpublished figure legend is fine, the answer is "I'll check", and nothing follows. Since your demo last month (T13-L02 · Show a Colleague AI on Their Own Task, in 30 Minutes), people ask you.

In a company it's a customer-operations team of twelve. IT published a fourteen-page AI policy in spring. Nobody on the team can say whether a customer's order number may go into the approved assistant, who decides if it's unclear, or what to do after pasting the wrong file. So everyone asks the one colleague who seems to know. She is going on parental leave in six weeks.

You are at Level 3 Builder. A working rule is something you build that colleagues depend on: if it's wrong or can't be found, they guess, and a guess about customer data or an unpublished result is expensive. This book shows you how to write the rule, test it on people who didn't write it, and hand it over so it keeps working when you're away.

After this you can

  • Write a one-page AI working rule for your team: the approved route, green, yellow and red examples from your own work, the output check, who decides edge cases, and what to do after a mistake.
  • Find out what your team actually does and needs with a short anonymous pulse, without collecting anyone's prompts or files.
  • Build eight test cards with known answers and use them to check that colleagues read the rule the way you meant it.
  • Put the rule where work starts, with a version, a maintainer, a deputy and a review date.
  • Hand the rule to a colleague who runs the card test with the next newcomer without you.

Before you start