<?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/a4389c10cb4743c38f338aa75e2fe86e&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a4389c10cb4743c38f338aa75e2fe86e-aa02751a15db1d36.gif</thumbnail_url><duration>115.7384</duration><title>AI-Powered Documentation Assistant Demo</title><description>In this demo, I showcase an agentic chat experience I developed using the Monstra framework and a copilot kit front-end. This AI-powered fact finder allows users to ask any questions about InKeep&apos;s documentation, tapping into the InKeep MCP server for accurate responses. I demonstrate how the agent not only answers queries but also summarizes findings and updates a Google Spreadsheet with the information, making it easy to share. My goal is to streamline the process of finding documentation answers, saving time and effort. I encourage you to explore this feature and see how it can enhance your workflow.</description></oembed>