Is it for the identification of user sessions that are good candidates to make into tests? Is it the generation of test specification in some DSL / Cucumber / Selenium / etc.?
1. We use AI to analyze the user patterns and find common paths and edge cases, basically building a representation of your UX in a DB
2. We then use the DB to train another ML model that learns how to use your app the same way a user does. Given a certain page and user context, the ML can complete UX flows.
3. Finally, we learn to generate assertions, run the tests and convert the model actions in step 2 into proper Playwright or Cypress tests