# AI Risk Index — airiskindex.io

The most methodologically rigorous, fully transparent AI job-exposure index. Task-based scoring of occupations on AI-driven automation exposure, with three separate sub-scores per occupation — exposure, substitution, augmentation — each with confidence intervals, versioned methodology, and a public API.

• Methodology (source of truth): docs/methodology/METHODOLOGY.md
• Research corpus grounding v1: docs/research/
• Contributor rules: CLAUDE.md

# Quick start

pnpm install
docker compose -f infra/docker-compose.dev.yml up -d   # postgres 16 + redis
cp infra/.env.example .env                             # fill values
pnpm db:migrate && pnpm db:seed
pnpm dev                                               # web on :3000

Checks: pnpm typecheck && pnpm lint && pnpm test

# Layout

Monorepo (pnpm + Turborepo): apps/web (Next.js site + public API), apps/worker (BullMQ jobs incl. the multi-model LLM rater), apps/etl (Python pipeline), packages/scoring (pure, deterministic scoring engine), packages/db (Prisma), packages/ui, packages/config. See CLAUDE.md §3.