AI verification layer for critical product flows
Zerocheck navigates your app like a real user, drafts reviewable flow coverage, and reruns approved checks in GitHub before every deploy.
Zerocheck navigates the app, drafts the test, keeps approval with your team, reruns approved coverage in GitHub, and watches approved production flows after merge.
For teams shipping with
Teams ship features in hours with Claude Code, Codex, Cursor — but can’t manually test every PR. Integration tests break with every redesign, and bugs reach customers weeks before anyone notices.
of CI failures are flaky tests, not real bugs.
Google Testing Blog
of teams spend 20+ hours weekly maintaining tests.
State of Testing Report
Why teams use it
A checkout refactor should not leave everyone guessing. The approved suite runs on the PR, and uncovered flows become reviewable test suggestions before they ever gate a merge.
See change-aware testing →When a flow fails, engineers get the browser recording, screenshots, step trace, and run evidence in the place they are already reviewing code.
See run evidence →Your team should maintain product behavior, not CSS paths. Plain-English tests follow visible intent and fail with evidence when the UI becomes ambiguous.
See zero-to-CI setup →Checkout smoke test failed
Approved production check failed twice. Last success: 42m ago.
After merge, the critical flows your business depends on keep running against production. Confirmed failures alert Slack with the evidence needed to act.
See production monitoring →How it works
Connect GitHub and point Zerocheck at staging. It shows up as a GitHub check alongside your existing CI.
Zerocheck scans your app and saves suggested tests. Review, edit, and approve the tests you want in the suite.
On GitHub PRs, Zerocheck runs the existing approved suite against staging, then suggests new tests from the diff for review. Every run gets a comment with recording, screenshots, and step trace.
After you configure a production URL, approved critical tests can keep running against production on a schedule.

I spent years watching the same pattern repeat across teams: add Playwright tests → a redesign breaks half of them → nobody fixes the selectors → tests get commented out → production breaks six weeks later. The framework wasn’t the problem. The selector-based interaction model was.
Zerocheck uses the browser’s accessibility tree instead of CSS paths — the same thing a real user (or a screen reader) sees. Tests describe intent, not implementation, so they survive UI refactors and redesigns. Everything is written in plain English. Every run produces a recording, screenshots, and a step trace that get posted back to the PR.
If that matches something you’re working on, book a demo or reach out directly. I run every first session personally.
Unit tests catch code issues. They miss a broken checkout, or a CSS change that hides the buy button. That manual click-through is the test nobody wrote.
Wiring it into CI, writing selectors, and fixing them when the UI changes costs 20+ hours a week.
You get a recording, screenshots, and step trace posted on the PR while you’re still in the code. Not a checkmark. What actually happened. When something fails, you see the recording of what went wrong and the exact step that broke.
Playwright MCP gives your coding agent a browser. You still write the test logic, handle assertions, and wire it into CI yourself. Zerocheck reads your diff, suggests tests for review, runs your existing approved suite, and posts results with a recording. MCP is a tool. Zerocheck is a workflow.
Detailed comparisons
Fifteen minutes. One of your real PRs. You watch the browser navigate your app and see exactly what passed and what broke. If it doesn’t catch something useful, you’ve lost nothing.