c82e4fc3a1
When a topic's quiz bank is empty (or below the requested count), we previously seeded it with a fresh batch of 10 questions. That meant the first weekly quiz for any new topic triggered a 10-question LLM call — heavy for what's ultimately a 1-question sample for review topics, and overkill for the typical 5-question primary topic. - forceGenerateTopicQuestions default count: 10 → 5 - getOrGenerateTopicQuestions seed amount: 10 → 5 - TestManager "Generate" defaults + empty-state button copy: 10 → 5 - QUIZ_SYSTEM difficulty hint: rewritten for a 5-question batch (2 easy / 2 medium / 1 hard) with explicit "scale proportionally for larger batches" so admins can still generate 10+ via TestManager when they want more depth. Tests 61/61 pass, lint clean (0 errors), build clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Respellion Learning Platform
An internal AI-powered learning platform that keeps Respellion employees up to date with the company's evolving knowledge base.
Features
- Weekly Learning Station — Each employee is assigned a topic each week (via deterministic hash of user ID + week number). They choose their preferred format: Article, Slides, or Infographic. Content is generated on-demand by Claude and cached per topic.
- Weekly Test — AI-generated quiz based on the knowledge graph. Results are stored and feed the leaderboard.
- Leaderboard & Gamification — Points for correct answers, badges for streaks and perfect scores.
- R42 Chatbot — An always-available AI assistant (backed by Claude) with access to the full knowledge graph. Can propose graph updates that admins approve or reject.
- Admin Panel — Manage the knowledge graph, sync from GitHub, review generated content, refine it with AI, and monitor team progress.
Tech Stack
| Layer | Technology |
|---|---|
| Frontend | React 18 + Vite |
| Styling | Vanilla CSS (custom properties) + Tailwind utility classes |
| Animations | Framer Motion |
| Icons | Lucide React |
| Graph viz | D3.js (admin knowledge graph only) |
| Backend / DB | PocketBase (self-hosted) |
| AI | Anthropic Claude (via Caddy reverse proxy) |
| Infra | Docker + Caddy |
Getting Started (local dev)
# 1. Install dependencies
npm install
# 2. Start PocketBase (Windows)
./pocketbase.exe serve
# 3. Start the dev server
npm run dev
The Vite dev server proxies /api/anthropic and /pb — see vite.config.js.
Deployment (Docker)
docker compose up -d
The Caddyfile handles:
- SPA fallback routing
/pb/*→ PocketBase sidecar/api/anthropic/*→ Anthropic API (with server-side API key injection)
Key Files
| File | Purpose |
|---|---|
src/lib/learningService.js |
Selective content generation (article / slides / infographic) |
src/lib/extractionPipeline.js |
GitHub file → knowledge graph extraction |
src/lib/api.js |
Anthropic API wrapper (generateContent + chat) |
src/lib/db.js |
All PocketBase data access |
src/lib/giteaService.js |
GitHub API client (folder listing + raw file fetch) |
src/store/AppContext.jsx |
Global state; computes ISO week number on load |
src/components/admin/UploadZone.jsx |
GitHub sync UI (default folder: docs/knowledge-base/) |
AI_AGENT.md |
Detailed context guide for AI coding agents |
Content Types
Learning content is generated on demand per type and merged into the cached object:
| Type | Key in DB | Description |
|---|---|---|
| Article | content.article |
Long-form reading |
| Slides | content.slides |
Slide deck with speaker notes |
| Infographic | content.infographic |
Visual summary with stats and steps |
The podcast type was removed. Do not re-add it.
Documentation
AI_AGENT.md— Full architectural guide for AI coding agents (patterns, gotchas, decisions).CHANGELOG.md— PocketBase upstream changelog (not application changelog).