<?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/cfcaaef8d4a14cc7a974843bda1076bf&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/cfcaaef8d4a14cc7a974843bda1076bf-1713568618224.gif</thumbnail_url><duration>458.8</duration><title>AgentOps - Crew AI Example</title><description>In this video, I&apos;ll show you how to use Agent Ops serverability within the Crew AI framework. We&apos;ll create specialized agents and tasks, such as researching company culture and industry analysis. I&apos;ll explain how to create a crew using AgentOps and crew integration, and how to analyze detailed crew runs. I&apos;ll also demonstrate the session drill down feature, waterfall diagram, and overview tab in the AgentOps dashboard. Watch this video to learn how to optimize your crew runs and improve efficiency.</description></oembed>