Docs
Artificial Search documentation
Artificial Search is a fullstack AI-stack marketplace and recommendation dashboard for developers.
Problem
Developers have too many AI models, agents, MCP servers and workflow patterns to choose from. The wrong stack can waste time, expose files or produce weak results.
Solution
The app compares seeded AI catalog data, recommends stack combinations and gates downloadable skill-pack manifests behind a database-backed demo subscription plan.
Main features
Model and agent comparison, MCP risk catalog, skill packs, recommendation wizard, demo subscription flow, server-side access checks, API routes, QA scripts and documentation pages.
Tech stack
Next.js App Router, TypeScript, Tailwind CSS, Prisma, PostgreSQL, Next API routes and Playwright-based smoke checks.