Write tests in plain English. They run in real browsers — Chromium, Firefox, or WebKit — no selectors, no brittle scripts, no test framework to learn.
Leverage AI for enhanced automation, or save on costs with a pure statement-driven approach. Either way, you write the same plain English steps.
The resilience framework interprets and executes your steps directly. Fast, predictable, and cost-effective — ideal when you know exactly what to test.
AI drives the browser on the first run and figures out the interactions for you. Subsequent runs replay without AI — ideal when you want to describe intent and let AI handle the details.
AI Natural Language monitors use a record-and-replay approach that keeps costs predictable while adapting to UI changes automatically.
AI executes your instructions in a real browser, interpreting your intent and recording every interaction it performs.
Subsequent runs replay the recorded steps through the resilience framework. No AI involvement means consistent, low-cost execution.
If a replay fails because the UI changed, AI re-engages to figure out the new interactions and re-records for future runs.
Both monitor types execute through the same resilience framework — a smart element-finding engine that adapts to page changes instead of relying on brittle selectors.
The framework handles a wide range of browser interactions: clicking, typing, form interaction, hovering over menus, drag-and-drop, and managing multiple tabs. When the page layout changes, the framework adapts rather than breaking.
You can also extend the framework by injecting additional commands into test steps, making it flexible enough for complex testing scenarios.
Securely inject credentials and API keys into test runtime. Organization-level, encrypted at rest.
Generate unique values per run — randomized strings, numbers, emails. No stale test data.
Capture at every step, only on error, or disable entirely. Visual evidence of test execution.
Record browser console errors, warnings, and uncaught exceptions during test runs.
Run tests in Chromium, Firefox, or WebKit to validate cross-browser compatibility.
Set custom viewport dimensions to test responsive layouts across device sizes.
Browser automation isn't locked inside a dashboard. Trigger tests wherever they fit into your workflow.
Set monitors to run daily so critical workflows are validated continuously without manual effort.
Trigger tests from your terminal or CI/CD pipeline. Integrate browser testing into your build and deploy process.
Connect to AI coding tools like Claude Code, Cursor, and Windsurf. Run monitors, check results, and react to failures without leaving your editor.
Test complete signup flows from form submission through email confirmation to account activation.
Verify login flows including multi-factor authentication, password resets, and session handling.
Ensure e-commerce checkout flows complete successfully from cart through payment confirmation.
Validate that multi-step onboarding experiences guide new users through setup correctly.
A website can respond with 200 OK but still have broken user workflows. Browser tests catch these issues before your users do.
Natural language tests are easier to write, read, and maintain than fragile selector-based frameworks.
Run tests on a schedule to continuously validate that critical user paths keep working after every deployment.

Write tests in plain English. Run them on a schedule or on demand — including from your CI/CD pipeline via our CLI and MCP Server.
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