<?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/487d5b11caa4449983b4e2314dc6c9f3&quot; frameborder=&quot;0&quot; width=&quot;1900&quot; height=&quot;1425&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1425</height><width>1900</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1425</thumbnail_height><thumbnail_width>1900</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/487d5b11caa4449983b4e2314dc6c9f3-968653164cc51623.gif</thumbnail_url><duration>621.44</duration><title>How to Manage AI Assistants</title><description>This Loom explains the two types of AI assistants available in chat and how to manage and analyze them. From a user perspective, it shows how the AI support assistant answers in the public chat or can switch to a private thread where questions are not visible to others, maintains conversation context in a thread, and supports reply modes and trigger-based responses. It then covers the admin side, including an analytics dashboard for all activated AI systems and per-bot metrics such as request volume and wait times, plus the ability to review specific requests by room ID, date, and username and download reports. Finally, it reviews configuration options for deactivating, deleting, or linking bots, customizing names, colors, avatars, translation and disclaimers, room availability, and uploading platform documents for support replies without using internet.</description></oembed>