Test the product around the model.
Verify that people can use your AI application: submit a request, understand progress, receive an answer, and recover when something fails.
- 01Define the feature
- 02Review test cases
- 03Agree on assertions
Assert the experience, not a magic sentence.
Check meaningful UI outcomes such as a visible result, usable controls, citations where required, and a recoverable error state. Avoid exact text assertions on free-form output.
Separate E2E from model evaluation.
AuraCheck validates user journeys. Model quality, bias, and answer accuracy still need their own evaluation dataset and review process.
How does AuraCheck run an E2E test?
You define the user journey and expected outcomes. AuraCheck uses vision AI to interact with the interface, execute the steps, and attach evidence to the run. Review the generated cases before execution, then inspect the results and screenshots.
Do I need to write test code?
You can start from a PRD or plain-language steps. The generated cases and automation scripts stay reviewable, so QA engineers can refine assertions, data, and execution details when needed.
Can I test web and mobile apps?
Yes. AuraCheck supports browser, Android, and iOS testing. The Windows and macOS desktop app runs Android tests on a connected device or emulator. iOS connects through WebDriverAgent and requires its own host and device setup.
Your next release deserves proof.
Bring one important user journey. See what AuraCheck can do with it.