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🧩 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.

about 69 minutes total, one short lesson at a timefor office workers, managers, teams

Your first win: Turn vague AI requests into repeatable prompt patterns with criteria, constraints, and checks.

Every lesson below has a free preview. Pro unlocks the full lessons with live AI practice, quizzes, the coach, and spaced reviews.

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