<?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/d6022251ebf54a1c972b44fab5eb8507&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d6022251ebf54a1c972b44fab5eb8507-87336a7f21eca5a4.gif</thumbnail_url><duration>194.7307</duration><title>Building Collagent: AI Collaboration</title><description>In this video, I discuss our project, Collagent, which aims to enhance collaboration among AI agents, mimicking the dynamic conversations found in hackathons. We are utilizing 11 Labs to develop our AI team, focusing on creating a voice interface that can engage users effectively. I also touch on the potential of an AI-powered flashcards app, addressing the need for efficient study tools in education. I encourage you to think about how we can differentiate our offerings in a competitive market. Please share your thoughts on the technical implementation I suggest.</description></oembed>