<?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/5d5e0698e50648f99eb9b16ab37b65e8&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/5d5e0698e50648f99eb9b16ab37b65e8-4affcf094cc21730.gif</thumbnail_url><duration>1371.143</duration><title>Real Time AI Whiteboard Collaboration Discussion</title><description>This Loom discusses using Echo to build a persistent, real-time collaborative canvas that turns spoken conversation into visual boards for brainstorming and operational meetings. The creator shares feedback from product beta testing and emphasizes key features like follow me to synchronize everyone’s view, showing cursors and where participants are working, and different modes that adapt to team needs. They describe plans to support real-time image and infographic generation during calls and to visualize pre-meeting documents by topic. The conversation also covers a goal of reducing friction so users only speak and the room builds itself, with agreement to try a sandboxed commit access and test it once automated.</description></oembed>