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Course Plan — Sub-Agent Reference

Lesson Format (MANDATORY for every lesson file)

Every lesson MUST follow this exact structure:

# [Lesson Number]. [Title]

> **Magic Moment:** [One sentence — what the student will experience that shifts their mental model]

## Why This Matters
[2-4 sentences. No theory dumps. Connect to their real work as a PM.]

## Before You Start
[Prerequisites — what they need open, installed, or ready]

## Do This Now

### Step 1: [Action verb]
[Clear instruction]

**Paste this into Claude Code:**
\```
[Copy-pasteable prompt]
\```

**What you should see:** [Expected output so they know it worked]

### Step 2: [Action verb]
[Next step...]

### Step 3: [Action verb]
[The magic moment step — this is where the "wow" happens]

## 🎉 What Just Happened
[Brief explanation of the mechanics — WHY it worked, what Claude did under the hood. 3-5 sentences max.]

## Go Deeper
[Optional: links, variations, advanced techniques, relevant YouTube videos]

## Share
[One prompt for the cohort: "Bring back: ___"]

Tone & Style Rules

  • Write like you're pair-programming with a friend, not lecturing
  • Use emoji sparingly but effectively (🎉 for magic moments, ⚠️ for gotchas, 💡 for tips)
  • Include "Expected output" after every prompt so students know they're on track
  • If there are relevant YouTube videos or images from the Notion course, include URLs
  • Make prompts progressively more impressive (build confidence → then blow their mind)
  • No filler. Every sentence earns its spot.
  • Address the reader as "you" — never "the student" or "users"

Key Notion Page IDs (for reading source content)

Use NOTION_API_KEY from ~/.config/notion/api_key

Root pages

  • Claude Code for PMs: 303908c9-2c01-81e1-8c35-e0fe313d3976
  • Claude Code for Stock Investing: 31a908c9-2c01-80d3-8ff5-fadd508cd79c

Day 1 pages

  • Course overview: 31f908c9-2c01-802f-a198-d807202c6ebf
  • Setup Guide: 303908c9-2c01-814e-b650-c2c2154a89da
  • Get comfortable: 303908c9-2c01-8157-92f1-e382a54eba97
  • How do LLMs work: 303908c9-2c01-818f-ad47-f865153f8753
  • How do coding agents work: 303908c9-2c01-8192-aa35-c9b617b9ecbb
  • Skills overview: 31f908c9-2c01-8136-83cd-e37364cb698b
  • Exercise Install skill: 31f908c9-2c01-81ad-9d35-f287bfd0fd5f

Day 2 pages

  • Introduce Claude to your product: 303908c9-2c01-81ed-833e-d364105136ba
  • Brainstorm features: 303908c9-2c01-81d6-a66e-fa14a6f94582
  • Download codebase: 303908c9-2c01-81d2-857d-e7094049b085
  • Get product running: 303908c9-2c01-8180-9598-e8e557e75fd3
  • Create project memory: 303908c9-2c01-81b6-86e8-c0bfe5786536
  • Exercise brainstorm: 303908c9-2c01-8146-a9b6-c19e0bd25e1a

Day 3 pages

  • Build features that look great: 31f908c9-2c01-8191-9e0e-d2ed34f8be1d
  • Read and improve design: 31f908c9-2c01-818e-9bc1-cefb35fd0dfa
  • Start creating prototypes: 303908c9-2c01-81c5-b4e3-f81792d34d8f
  • Get features right: 303908c9-2c01-81f8-9041-c7d00c605e23
  • Apply design thinking: 303908c9-2c01-8123-be89-fae28eee4f01
  • Architecture: 303908c9-2c01-814c-b011-eab3113296a7
  • Build many prototypes: 303908c9-2c01-812d-853a-fb85631d4bdb
  • Exercise first prototype: 303908c9-2c01-81f9-8fd4-d1a0e9616b50
  • Exercise ambitious prototype: 303908c9-2c01-8158-a6e8-f9cc713e9cb1
  • Exercise external context: 303908c9-2c01-81d2-8464-ff509c49acc2
  • Exercise copy something: 303908c9-2c01-81e7-be5a-c8dad1ad1a18
  • MCP servers: 303908c9-2c01-816a-8535-f0eb512a092f
  • External documentation: 303908c9-2c01-81d2-9e56-fad227f2fdc9
  • Keeping agent smart: 31f908c9-2c01-81ae-9ad2-ff1c713c7faf
  • Context window: 303908c9-2c01-81b6-9f6b-e4c54786adc9

Day 4 pages

  • Re-create designs: 303908c9-2c01-815b-bd19-ffd37c29a7c5
  • Exercise recreate UI: 303908c9-2c01-81bd-90c3-f697ba242efd
  • Exercise map architecture: 303908c9-2c01-8191-a818-f1b4babfc04c
  • design.md: 303908c9-2c01-8159-86d0-e032ab194344
  • Improve design sense: 303908c9-2c01-8192-bf8b-f3cad115f8ce
  • Shortcuts: 303908c9-2c01-816f-bf7f-dd3f5b6f4e02
  • Plugins: 303908c9-2c01-8112-938d-dc363cd8d49b

Day 5 pages

  • Analyze onboarding: 303908c9-2c01-81be-a7cf-d2d4b2250712
  • Customer feedback: 303908c9-2c01-8191-8f23-d676046361d7
  • Release notes: 303908c9-2c01-818a-ba41-dc83847ff436
  • Product guides: 303908c9-2c01-81ea-a840-e3f41603bf1b
  • Backlog: 303908c9-2c01-81ab-9ac1-f8b13d3de7d6
  • Usage analysis: 303908c9-2c01-8110-a8fc-fb3f037bc80e
  • Competition: 303908c9-2c01-8179-a88a-cf6de0c39bae
  • Pricing: 303908c9-2c01-8130-8997-eaa8d05c166a
  • Storyboards: 303908c9-2c01-81dd-b04d-d91fa64d0840
  • Stakeholder updates: 303908c9-2c01-81fe-a28f-cd86ea64dcb6
  • Exercise onboarding: 31f908c9-2c01-81f6-911e-fb74eca63742
  • Exercise PM task: 31f908c9-2c01-815b-858a-d37e2b611ee1
  • Dogfood testing: 31f908c9-2c01-8180-89b3-f9cc8b6f6131

Day 6 pages

  • Deploying: 303908c9-2c01-81f7-bebb-ffa328451216
  • Tests: 303908c9-2c01-81e1-bcbe-d42022b59f4c
  • Code review: 303908c9-2c01-8197-b0bf-d326aefda4f2
  • Personal OS: 303908c9-2c01-81f8-93e1-db14b9cb5f2f
  • AI mindset: 303908c9-2c01-81a3-91ed-de3521fab736
  • CI/CD concept: 303908c9-2c01-81fe-953b-f7510e4088ed
  • Exercise CI/CD: 303908c9-2c01-8185-b81c-f479c1591023
  • Tracing: 303908c9-2c01-8183-90a9-e8bb1c1ab1df
  • OpenClaw: 31f908c9-2c01-81eb-b812-caa7ea4c3a62