What should end-to-end testing cover in an AI media application?

What should end-to-end testing cover in an AI media application?

End-to-end testing checks whether the integrated application fulfills a user task. Individual service checks cannot prove that the complete journey works.

Trace a representative workflow

Create a project, enter a brief, review a script, generate media, and retrieve the result. Include captions and external publishing only when they are part of the intended flow. Verify that the final artifact belongs to the correct user and approved version. Reload at meaningful points to check persisted state.

Exercise important alternatives

Test invalid input, a failed dependency, a repeated submission, and unauthorized access from another account. Separate simulated provider checks from controlled live integration checks. Record observable outcomes and retained evidence, such as a result identifier or verified artifact. The objective is confidence in the promised experience, not merely visiting every page.