<?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/4ba67ce142eb47999f6b41f96aad6c2c&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/4ba67ce142eb47999f6b41f96aad6c2c-aa05f9cf4dc3ee8e.gif</thumbnail_url><duration>168.406</duration><title>How the Agent Store Scales Teams</title><description>This Loom explains the agent store, a marketplace for adding AI agents that seamlessly integrate with an organization’s existing OS setup. It contrasts starter agents, built to address initial team goals like getting 25 leads for an OS and instance, with the need for more agents as requirements grow. When you add a new agent or team member, the system automatically determines which existing organization it belongs to, or creates a new branch in the org tree if it does not exist. For example, adding a new marketing organization such as an Ads team can automatically place the “viral ads finder” under the right structure.</description></oembed>