🧩 Pro course · 12 lessons · Go deeper
Prompting Patterns
Six repeatable patterns that work in any AI tool — decompose big jobs, make it interview you, compare options, and steer without starting over.
Your first win: Turn vague AI requests into repeatable prompt patterns with criteria, constraints, and checks.
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1. One job per prompt
Big bundled requests produce mush; a pipeline of small single-job prompts produces quality
2. Make it interview you
Telling the model to ask you questions first beats guessing what context it needs
3. Options first, then commit
Asking for three distinct versions with trade-offs beats accepting the first answer
4. Constraints are instructions too
Stating hard limits — length, banned content, must-keep facts — prevents the failures you cannot un-see
5. Steer with deltas, restart when stuck
Targeted change requests beat re-explaining, and a fresh chat beats a polluted one
6. Build your prompt library
A winning prompt with fill-in-the-blank slots is a tool your whole team can reuse
7. Success criteria before prompt wording
Define what good looks like before you ask the model to produce anything
8. Plan, do, check
Ask for a plan, execute one step, then verify against criteria before continuing
9. Extract, transform, apply
Turn messy input into structured output, then use that structure in the next prompt
10. Red-team your answer
Ask a second pass to find risks, assumptions, weak claims, and missing perspectives
11. Structured outputs: tables, JSON, checklists
Format is part of the task — specify columns, keys, or checklist items exactly
12. Prompt repair clinic
Diagnose weak prompts with a checklist: job, context, criteria, format, scope