If you use ChatGPT or Claude to write test cases, the AI does the 30 second part. You do the 10-day part: copy into Confluence or Excel, reformat, tag, share. And the output is always a little off, because a chat window only sees what you paste. It doesn't know your payment flow depends on a Stripe webhook, or that onboarding was redesigned last sprint.
Quick recap: you describe what your product should do in plain text, and Text2Test builds real, running tests that update themselves as your app changes. No selectors, no brittle scripts.
Most test automation makes you think like a machine: hunt selectors, write brittle scripts, fix them when UI shifts. Text2Test flips that.
Describe a test in plain text. Our model compiles it into a deterministic test that runs on real browsers and heals itself as your app evolves. No code. No selectors. No setup.
No token trap. AI testing tools charge you every time tests run. AI helps you create tests, not run them on repeat. Costs scale with what you build, not how often it runs.
