Find out what's broken before your users do.
Drop in a URL. An AI agent explores your live app the way a real user would — clicking, filling forms, navigating flows — and flags what's actually broken: dead-end buttons, console errors, failed requests, accessibility gaps. No test suite to write.
Functional bugs, not security findings.
QA rounds out the other two products — Detect watches your live infrastructure, Code reviews what merges, QA checks that the thing you shipped actually works once it's live. Different failure mode, same "catch it before a customer does" instinct.
A button that doesn't do anything, a form that silently fails to submit, a redirect that goes nowhere — the exploration agent tries the flow and tells you exactly where it broke.
Uncaught JS errors and unhandled rejections surfaced during exploration, tied to the exact step that triggered them.
Failed or 4xx/5xx requests during a real user flow, not just a health-check ping to your homepage.
Issues surfaced during real interaction, not a static scan of markup that never gets clicked.
Drop in a URL, get evidence back.
No test suite to write, no CI pipeline to configure. Point QA at a running app — a preview deploy, staging, or production — and it explores on its own: reading the page, deciding what's worth trying, clicking through, and generating a real Playwright script as it goes.
Every finding comes with a screenshot at the moment it happened and the generated test script that reproduces it — evidence you can hand to whoever's fixing it, not just a description of a problem.
Priced by URL sessions, not tokens or browser minutes.
One QA run against one URL is one session. No credits to guess at, no metering on model calls or screenshots underneath — just how many times you point it at something this month.
Up to 25 URL sessions a month. Full findings, screenshots, and generated Playwright script on every run.
Up to 125 URL sessions a month. Same evidence on every finding, room for a real iterate-fix-rerun loop across more than one app.