<?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/25b3ea2ae37e4857afc8ac96c3f7ecff&quot; frameborder=&quot;0&quot; width=&quot;1722&quot; height=&quot;1291&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1291</height><width>1722</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1291</thumbnail_height><thumbnail_width>1722</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/25b3ea2ae37e4857afc8ac96c3f7ecff-0c4026f23547d0ea.gif</thumbnail_url><duration>212.097</duration><title>Introducing Sift: Your Smart Monitoring Agent for Product Feedback 🚀</title><description>Hi, I&apos;m excited to introduce Sift, an autonomous agent designed to monitor conversations about your product and alert you only when it truly matters. In this demo, I show how Sift pulls in GitHub issues, analyzes them for severity, and helps you prioritize critical problems, like an exposed API key. I also demonstrate how you can provide feedback on the importance of issues, allowing Sift to learn and improve its alerts over time. If you see a critical issue, you can generate a pull request directly through the app or voice commands. I encourage you to explore Sift and see how it can streamline your workflow!</description></oembed>