<?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/7adb97da9a7942f787613e507161187a&quot; frameborder=&quot;0&quot; width=&quot;2228&quot; height=&quot;1671&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1671</height><width>2228</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1671</thumbnail_height><thumbnail_width>2228</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7adb97da9a7942f787613e507161187a-e2c3c486c55f757d.gif</thumbnail_url><duration>334.48</duration><title>Managing AI Agents with Botyard</title><description>In this video, I demonstrate how to manage work between our AI agents, Joe, Bob, and Luna, using Botyard. We have three workforces available, and I focus on the operations workforce where three tasks are waiting in the backlog. I start the bots by assigning tasks to Luna and Bob, instructing them to notify Joe once they are done. This process streamlines our workflow and ensures efficient task execution.</description></oembed>