Everything you need to find the bugs your QA missed

Point it at a URL. Get a triaged report with screenshots and video. Re-run after every fix to verify it's gone.

Autonomous exploration

An AI agent uses your site like a real user

Real Chromium browser. The agent figures out what kind of site it is, picks the flows worth testing, and tries them — clicking, typing, navigating, edge cases included. No fixtures, no page objects, no recorders.

  • Real browser interactions
  • Smart form data generation
  • Edge-case path discovery
  • Per-step screenshots + video
AI-guided test plans

Plain-English test plans, generated for you

An LLM watches the agent explore your site and writes a structured test plan — what to test, with what data, in what order. The plan is stable across runs, so you can compare results over time without writing a single line of test code.

  • Plain-English scenarios
  • Stable plans across runs
  • Visual assertions with screenshots
  • Zero maintenance — re-explore on demand
Re-run & diff to verify fixes

Find a bug, ship a fix, prove it's gone

After every fix, hit Re-run. The same plan executes again and a diff card tells you what's new, fixed, regressed, or still broken — keyed by stable bug fingerprint. The full bug-finding loop, not just detection.

  • One-click re-run
  • Bug-fingerprint diff across runs
  • Lineage timeline per audit
  • Shareable report URLs