2 June 2026
To make sure an AI agent works reliably across real workflows, you also need to see how the product behaves:
- in interaction with integrated tools
- across different environments, like desktop, browser, or extensions
- inside real user flows
- after updates, when existing logic can quietly break
We recently worked on a similar case: an AI learning platform available through a desktop app and a browser extension. It helps employees learn to use tools like ChatGPT and Copilot in real workflows. Our goal was to make sure the product interacted reliably with integrated AI services, including its behavior and response consistency, while also ensuring a clear and convenient experience as users interact with the AI tools they are learning to use.
As a result, the client achieved:
- сonsistent product behavior when interacting with integrated AI tools
- more stable product behavior across environments
- stronger confidence in new releases
- a clearer QA process to support ongoing product development
Want to see how we approached testing and what helped make the product more reliable? Read the full case study.