Onboarding — On first login each employee enrolls into the curriculum with one tap. Their 26-week cycle starts then and there.
Weekly Learning Station — Each employee gets a topic for their current curriculum week, drawn from the active 26-week schedule (with a deterministic hash fallback when no curriculum is active). They engage via micro-learnings (concept explainer, scenario quiz, flashcard set) and can also generate long-form formats (Article, Slides, Infographic) on demand.
Weekly Test — A 5-question AI-generated quiz for the week's topic. Results feed the leaderboard.
Leaderboard & Gamification — Points for correct answers, badges for milestones (First Steps, Veteran, Perfectionist).
R42 Chatbot — An always-available AI assistant (Claude) grounded in the knowledge graph via local TF-IDF retrieval. It can propose graph updates that admins approve or reject.
Admin Panel — Manage the knowledge graph, upload source files, review/refine generated content, generate the curriculum, and manage the team.

Tech Stack

Layer	Technology
Frontend	React 19 + Vite 8, React Router 7
Styling	Vanilla CSS (custom properties) + Tailwind v4 utilities
Animations	Framer Motion
Icons	Lucide React
Graph viz	D3.js (admin knowledge graph only)
Backend / DB / auth	PocketBase (self-hosted, SQLite)
Retrieval	Local TF-IDF (no Qdrant, no embeddings API)
AI	Anthropic Claude (via Caddy reverse proxy)
Infra	Docker + Caddy; Ansible playbooks under `infra/`

Claude models (by tier): fast = claude-haiku-4-5-20251001, standard = claude-sonnet-4-6, reasoning = claude-opus-4-7.

Getting Started (local dev)

# 1. Install dependencies
npm install

# 2. Start PocketBase
./pocketbase.exe serve

# 3. Bootstrap collections (first run only)
node scripts/setup-pb-collections.mjs

# 4. Start the dev server
npm run dev

Set ANTHROPIC_API_KEY in your environment — the Vite dev server proxies /api/anthropic and injects the key server-side (see vite.config.js). PocketBase migrations in pb_migrations/ apply automatically when the binary starts.

Deployment (Docker)

docker compose up -d

The Caddyfile handles:

SPA fallback routing
/api/anthropic/* → Anthropic API (server-side API key injection)
/api/* and /_/* → the PocketBase sidecar

Key Files

File	Purpose
`src/lib/llm.js`	Core Anthropic wrapper (`callLLM`): tiers, retry, schema validation, telemetry
`src/lib/db.js`	All PocketBase data access
`src/lib/extractionPipeline.js`	Uploaded file → knowledge-graph extraction
`src/lib/learningService.js`	On-demand content generation (article / slides / infographic)
`src/lib/microLearningService.js`	Micro-learning generation (3 types)
`src/lib/curriculumService.js`	26-week per-user curriculum engine
`src/lib/retrieval.js`	TF-IDF retrieval for R42
`src/store/AppContext.jsx`	Global state; derives the user's curriculum week from their start date
`AI_AGENT.md`	Detailed context guide for AI coding agents

Content Types

On-demand long-form content (the content collection), generated 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.

Micro-learnings (the micro_learnings collection): concept_explainer, scenario_quiz, flashcard_set.

Documentation

CLAUDE.md — project overview and constraints for AI coding agents.
AI_AGENT.md — full architectural guide (patterns, gotchas, decisions).
docs/ — subsystem specs (architecture, data model, ingestion, generation, curriculum, R42, frontend, gamification).