Tshabok AI automates test case creation from requirements and project documentation, helping QA teams and developers expand coverage faster and avoid missing critical edge cases.
Generate tests from requirements and docs
You can upload or paste specifications, user stories, and other project materials. The model analyzes context, identifies usage scenarios, and produces a structured set of test cases. There’s also a mode that helps generate missing documentation first, then builds tests from it.
Edge cases and coverage
Tshabok AI focuses not only on “happy path” flows but also on rare and complex situations. This approach can improve early defect detection and supports more complete requirements coverage, which is especially useful for complex products.
Built for continuous change
As requirements evolve, test cases can be regenerated or extended without days of manual work. This fits continuous testing workflows and helps teams shorten release cycles.
