<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/33ca8555d689480fa44283321bf5223c&quot; frameborder=&quot;0&quot; width=&quot;1618&quot; height=&quot;1213&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1213</height><width>1618</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1213</thumbnail_height><thumbnail_width>1618</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/33ca8555d689480fa44283321bf5223c-ac8b16b66147fc7d.gif</thumbnail_url><duration>378.583367</duration><title>Revolutionizing QA with AI: The Future of QA Wolf 🚀</title><description>Hey team, in this video, I share a prototype I created to streamline our management of Figma projects and improve our QA processes. The goal is to provide a clear source of truth for tracking test cases and bugs, enabling product owners to easily see what QA Wolf is testing and automate test cases efficiently. I also discuss how AI will help us map user flows and generate test code, ensuring we can release with confidence. I encourage you to think about how we can implement these features and enhance our QA platform. Thanks for watching!</description></oembed>