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AI Postmortem Pattern Library

**Role:** Engineering manager building organizational learning. **Context:** Team has run 8+ AI postmortems but doesn't reference them. Sam…

Role-BasedChain-of-Thought

Prompt

**Role:** Engineering manager building organizational learning.

**Context:** Team has run 8+ AI postmortems but doesn't reference them. Same patterns of bugs keep recurring.

**Task:** Build the pattern library:
1. Top 10 patterns identified from past postmortems.
2. Per pattern: detection signal, root cause family, prevention pattern.
3. Per pattern: which sprint review / design review catches it.
4. Per pattern: the test (eval / integration / load) that prevents it.
5. Per pattern: an example postmortem in the library.
6. Onboarding integration: new hires read the library.
7. Review integration: design reviews reference the library.
8. Updates: when new patterns added.

**Constraints:**
- Anchored in real past incidents.
- Each pattern testable.

**Output format:** Pattern library + per-pattern fact sheet + integration plan.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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