<?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/fabdb2a0293b40b7b543d7add91c2c4a&quot; frameborder=&quot;0&quot; width=&quot;1110&quot; height=&quot;832&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>832</height><width>1110</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>832</thumbnail_height><thumbnail_width>1110</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/fabdb2a0293b40b7b543d7add91c2c4a-4a5a26e1fddad91b.gif</thumbnail_url><duration>173.01</duration><title>Interactive Computer Health Monitoring App Demo</title><description>In this video, I showcase my app that allows users to ask specific questions about their computer&apos;s health, such as the ratio of sockets to CPU cores, which in this case is 200 sockets to 12 cores. I explain the architecture of the app, including the MCP server and JSON RPC server that facilitate data collection and communication with OpenAI. I also demonstrate the interactive processes table, highlighting that the dashboard is dynamically generated and not hardcoded. As a fun demonstration, I interact with the processes and show how to kill a specific process, ARK. I encourage viewers to explore the app further and test its capabilities.</description></oembed>