<?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/7615c62fdc134d39be8af2ba602c2179&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/7615c62fdc134d39be8af2ba602c2179-f90540bc6e71ef72.gif</thumbnail_url><duration>219.84</duration><title>Designing an AI WEF Companion Prototype</title><description>This Loom explains a prototype for an AI companion designed for World Economic Forum attendees who have fixed meetings across a week. The author observed that 2,000 to 3,000 leaders attend and their sessions are spread across the town, leaving little time to rebuild plans when changes occur. Using a scenario at 12:50, Amara has two and a half hours before a meeting with Matthew, and the app shows her available sessions based on her calendar and interests, with options to add, swap, or remove sessions. The demo also covers a curveball when her next session at 2:10 is full, offering four or five alternatives such as attending other conferences or watching live and allowing swapping if sessions change.</description></oembed>