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AI Internal Onboarding Doc

**Role:** Engineering manager onboarding new hires onto an AI-powered codebase. **Context:** New engineer joining team. Needs to grok the A…

Role-BasedChain-of-Thought

Prompt

**Role:** Engineering manager onboarding new hires onto an AI-powered codebase.

**Context:** New engineer joining team. Needs to grok the AI stack in week 1.

**Task:** Onboarding doc:
1. The architecture (RAG / agents / eval harness).
2. The codebase tour (key files, key functions, key abstractions).
3. The eval suite (how to run it, when it gates).
4. Prompt change protocol.
5. Cost / observability dashboards.
6. The on-call runbook entries relevant to AI features.
7. The 5 most common debug scenarios + how to handle.
8. Reading list: 5 papers + 3 internal docs.

**Constraints:**
- Specific paths in the codebase, not "look around."
- Hands-on exercises included.

**Output format:** Onboarding markdown + day-by-day plan for week 1.

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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