My practice workbook
Seven modules to understand, experiment and exercise judgment.
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Back to the course →Module 1 of 7
Open the machine
Understand what generative AI does and what it does not guarantee.
Fictional examples only. No personal information.
Module 2 of 7
Prediction is not knowledge
Distinguish probability, variation and accuracy.
Fictional examples only. No personal information.
Module 3 of 7
Follow the evidence
Distinguish a supported, contradicted or unstated claim.
Fictional examples only. No personal information.
Module 4 of 7
Build an instruction
Specify a task, an audience and evaluation criteria.
Fictional examples only. No personal information.
Module 5 of 7
Choose what to share
Identify personal information and reduce what you transmit.
Fictional examples only. No personal information.
Module 6 of 7
Look for who is missing
See why an average can hide very different results.
Fictional examples only. No personal information.
Module 7 of 7
Decide, then apply
Combine the habits in a complete scenario.
Fictional examples only. No personal information.
Checkpoints
Review your reasoning
- Human judgment checks sources and intended use.
- A higher temperature spreads weight across continuations; it does not check facts.
- Wednesday at 10 am: proposed, not confirmed. Room confirmed: contradicted. Free admission: not stated.
- An assessable instruction specifies task, audience, format and criteria; it does not guarantee accuracy.
- Minimal example: arrange cover for a shift.
- 88%, then 77.5%. Group results stay fixed; their weights change.
- 90 minutes and 24 places are established in the notes. Date, facilitator and budget remain unconfirmed. The private list is unnecessary. A person checks before sending.
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