# NotebookLM AI Certification Quest

A self-paced, game-like study program for mixed beginner learners preparing for Anthropic's beginner Claude and AI fluency course path.

The program assumes learners can use a browser and email, but have no GitHub, Netlify, Vercel, coding, deployment, API, or AI background.

## How To Use This Pack

1. Open `start-here.md` with learners first.
2. Create one NotebookLM notebook named `Claude Certification Quest`.
3. Add `source-pack.md`, `mission-cards.md`, `prompt-cards.md`, and `learner-passport-template.md` as sources.
4. Use `notebooklm-feature-playbook.md` and `notebooklm-studio-artifact-prompts.md` to generate the live NotebookLM Studio assets.
5. Use `progress-tracker.md` to mark badges, Studio artifacts, and checkpoint scores.
6. Use `facilitator-test-plan.md` to validate the program with a true beginner and a mixed group.

## Website Portal Export

The website-ready handoff lives at:

```text
portal-export/claude-certification-quest/
```

The movable zip package lives at:

```text
portal-export/claude-certification-quest.zip
```

Regenerate the portal package after curriculum or media changes:

```text
node scripts/export-quest-portal.mjs
```

Claude Code can use `portal-export/claude-certification-quest/portal-data.json` as the structured source for a website portal.

## Files

- `start-here.md` - learner-facing guide with very simple setup steps.
- `source-pack.md` - official links, core glossary, safe-use rules, and beginner examples.
- `mission-cards.md` - the world map and all study missions.
- `prompt-cards.md` - reusable prompts for NotebookLM and Claude.
- `progress-tracker.md` - badge tracker, quiz scores, and confidence check-ins.
- `learner-passport-template.md` - final one-page proof of learning.
- `facilitator-test-plan.md` - acceptance tests and observation notes for pilots.
- `learner-workbook.md` - teach-first learner material with examples, practice, and model answers.
- `facilitator-guide.md` - instructor script, pacing, and beginner coaching notes.
- `answer-key-and-rubric.md` - checkpoint model answers and scoring guidance.
- `notebooklm-teaching-bundle.md` - extra NotebookLM source with the teach-first material.
- `launchpad.html` - local launch page for quick setup prompts and file links.
- `media-strategy.md` - course media system and production order.
- `podcast-season.md` - 7 podcast/audio lessons with host scripts and NotebookLM prompts.
- `video-storyboards.md` - orientation, world, and Final Boss video scripts.
- `shorts-and-reels.md` - short vertical review clips and captions.
- `media-production-prompts.md` - prompts for NotebookLM, Claude, and video generation.
- `media-bundle-for-notebooklm.md` - compact source for generating media inside NotebookLM.
- `notebooklm-feature-playbook.md` - maps current NotebookLM features to game mechanics and learner actions.
- `notebooklm-studio-artifact-prompts.md` - copy-ready prompts for creating Study Guides, Mind Maps, Audio, Video, Infographics, Slide Decks, Flashcards, Quizzes, and notes.
- `notebooklm-live-build-checklist.md` - facilitator checklist for proving the live notebook uses NotebookLM fully.
- `notebooklm-console-source-pack.md` - compact source added to the live notebook so NotebookLM understands its own console role.
- `live-notebook-evidence.md` - observed live NotebookLM source/artifact/configuration evidence.

## Design Principles

- Tiny missions beat long lectures.
- Teach first, show examples, practice, then quiz.
- Videos and podcasts support the lesson; they do not replace practice.
- NotebookLM is the study console.
- Claude is the practice assistant.
- NotebookLM Studio artifacts are named game objects, not random outputs.
- Source citations are part of the game: learners check evidence before trusting an answer.
- Every world ends with a visible proof of learning.
- Bonus missions are optional XP Boosts, never required.
- Learners must practice verification and safety from the beginning.

## Completion Standard

A learner is certification-ready for the beginner path when they can:

- Create a NotebookLM notebook and add at least one source.
- Generate or use a Study Guide, Mind Map, Flashcards, Quiz, Audio Overview, Video Overview, Infographic, Slide Deck, saved notes, and Data Table when available.
- Ask at least one source-grounded question and inspect a citation.
- Explain the prompt formula: `Task + Context + Audience + Format + Constraints`.
- Identify at least 3 things not to paste into AI.
- Improve one Claude answer through follow-up prompting.
- Score 80 percent or better on the Final Boss quiz.
- Complete the AI User Passport.