Prufa is an AI QA engineer for web products, built for the agentic era. An LLM-backed agent navigates your app like a real user — signup, login, checkout — and plain code verifies every result. Verified findings are machine-checked with evidence; LLM judgments are clearly labeled advisory and never graded as facts. Humans get a dashboard, shareable reports, and Slack alerts; AI agents get a CLI, versioned HTTP API, MCP server, and an agent skill — the same product through both surfaces. Try the free 60-second audit: paste a URL, no signup.
Free 60-second audit: paste a URL, no signup
Real-browser flow testing: signup, login, checkout
Machine-verified findings with evidence; LLM judgments labeled advisory
Scheduled monitoring with Slack alerts and shareable reports
Agent surface: CLI, versioned OpenAPI-published API, MCP server, agent skill
Prepaid plans with hard caps by default; idempotent, retry-safe API
Pre-launch QA: run a free audit before shipping and catch broken analytics, links, and console errors
Flow regression testing: verify signup, login, and checkout still work after every deploy
Production monitoring: scheduled runs with Slack alerts when a flow breaks
Agent workflows: let your AI coding agent QA its own work via MCP server or API

Hi! I'm Gregory, solo founder of Prufa. I built it because launch-day bugs are systematic: we audited 49 fresh Show HN launches with Prufa's own free audit and 78% had a critical bug (38 of 49 shipped analytics that recorded zero events). The core idea: an LLM-backed agent navigates your app like a real user, but plain code does all the grading against captured browser evidence — so findings are machine-verified, never AI-guessed. The free 60-second audit needs no signup: paste a URL on prufa.dev. Agents are first-class users too: CLI, versioned API, MCP server, agent skill. Happy to answer anything!

Hi! I'm Gregory, solo founder of Prufa. I built it because launch-day bugs are systematic: we audited 49 fresh Show HN launches with Prufa's own free audit and 78% had a critical bug (38 of 49 shipped analytics that recorded zero events). The core idea: an LLM-backed agent navigates your app like a real user, but plain code does all the grading against captured browser evidence — so findings are machine-verified, never AI-guessed. The free 60-second audit needs no signup: paste a URL on prufa.dev. Agents are first-class users too: CLI, versioned API, MCP server, agent skill. Happy to answer anything!
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