<?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/91f31d35bef9415eb6d1f97c415c6494&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/91f31d35bef9415eb6d1f97c415c6494-d4e7934502f64cdc-full.jpg</thumbnail_url><duration>706.282</duration><title>remberg: AI Copilot</title><description>In this video, I will guide you through the basic functions of the AI Copilot and how to effectively build its knowledge base. We will focus on uploading files to the remberg system and utilizing tickets, including error messages, to enhance the Copilot&apos;s capabilities. I will demonstrate how to add specific documents to the knowledge base and the importance of assigning these documents to assets for better information retrieval. Additionally, I will show you how to access the AI Copilot via an asset detail page or by scanning a QR code. Please ensure you follow these steps to optimize your use of the AI Copilot.</description></oembed>