video1.0<iframe src="https://www.loom.com/embed/984339db3ff6440f979d61d237b85047" frameborder="0" width="1458" height="1093" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10931458Loomhttps://www.loom.com10931458https://cdn.loom.com/sessions/thumbnails/984339db3ff6440f979d61d237b85047-6fd0ab951801e43f.gif381.498In this video, I’m excited to introduce Jinnah AI, our innovative AI QA engineer designed to automate app testing and catch bugs efficiently. Unlike traditional QA, which is often slow and prone to errors, Jinnah operates based on natural language and intent, allowing for seamless test scenario descriptions. I demonstrate how to create a test case using a clone of the Coinbase platform, showcasing its ability to explore multiple paths to achieve testing objectives. Please take a moment to review the demo and share your thoughts on how we can further improve this tool!