Introduction
A teacher asks AI for an exit ticket and gets questions that miss the learning target entirely. A coach asks for a facilitation plan and receives a generic list that ignores everything the team actually needs. An administrator asks for a staff update and gets a draft that reads well but includes an unverified claim. These moments share something important: the problem isn't the tool. It's the prompt, and the review habits that follow.
This learning experience helps you move from improvising prompts in the moment to using a repeatable blueprint you can reach for every time. You write spec-first prompts that include purpose, audience, constraints, and criteria, then refine them against your own quality checks. You also practice teaching prompt literacy using examples and non-examples so the pattern can spread across your classroom or team.
Learning objectives
Upon completion of this module, you'll be able to:
- Draft a spec-first prompt that includes purpose, audience, constraints, and response format.
- Add evaluation criteria to a prompt so output can be reviewed for accuracy, alignment, and inclusivity.
- Revise a prompt based on what the first output reveals about missing context or unclear constraints.
- Teach a prompt literacy pattern using examples and non-examples that make quality visible.
- Explain how prompt design supports oversight and accountability when AI output is used by others.