It's all of the above but more specifically: 1. We use AI to analyze the user patterns and find common paths and edge cases, basically building a representatio

It's all of the above but more specifically: 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