<?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/99810f207a1648119fb54597b2a3a310&quot; frameborder=&quot;0&quot; width=&quot;1260&quot; height=&quot;945&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>945</height><width>1260</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>945</thumbnail_height><thumbnail_width>1260</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/99810f207a1648119fb54597b2a3a310-1dedc6fa9cbb151c.gif</thumbnail_url><duration>126.518</duration><title>How to Show AI Use Cases Effectively</title><description>This Loom reviews how Runner demonstrates a specific AI agent use case, board meeting preparation, with a detailed workflow. It highlights that the page shows connected tools like Google Slides, Notion, Gmail, and Linear, along with a concrete example. The workflow is broken down with a trigger of a board meeting scheduled within two weeks, sample input, and the output of what was completed, followed by the resulting outcome. The author emphasizes that this level of prescriptive, context-driven detail helps show real jobs the product can automate.</description></oembed>