<?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/7dce83519c8d4882af5a15bb9d727c21&quot; frameborder=&quot;0&quot; width=&quot;1698&quot; height=&quot;1273&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1273</height><width>1698</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1273</thumbnail_height><thumbnail_width>1698</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7dce83519c8d4882af5a15bb9d727c21-ed4b7d91de42a31a.gif</thumbnail_url><duration>328.967</duration><title>Streamlining Work with AI Agent Teams</title><description>In this video, I introduced Coral, a new way to work with AI agents. I demonstrated how the orchestrator manages tasks among agents like the lead developer and QA engineer, providing real-time updates on progress and costs. I also showed how to create agent teams and add members, including a technical writer. Additionally, I highlighted features useful for developers, such as Git diff and chat history. I encourage you to explore these functionalities and consider how they can enhance your workflow.</description></oembed>