From need to generative specification
Professional practice begins with a task card that identifies the user, decision, permitted input and acceptable output, while limiting success claims to what was actually tested. Learners distinguish deterministic rules, retrieval and generation, selecting the simplest path that fits the evidence rather than the newest tool. The lessons explain model limits and context windows, including why text being present does not guarantee correct use. Through worked cases and a checkable exercise, learners produce a specification that separates what may be generated, what must stay grounded and what must be reported as unknown. The module output is a testable task card and authority boundary ready for review before prompt writing.
Read the whole first subject without an account: its lessons, summary and review questions.
Subject lessons
- Lesson 1 Specifying a measurable generative task
- Lesson 2 Generation, context and knowledge limits
- Lesson 3 Choosing rules, generation or retrieval
- Integrated subject summary Review questions
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