<?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/aa8b7f94934e4ab2a1384709c4c0366f&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/aa8b7f94934e4ab2a1384709c4c0366f-0c17a1617133c08c.gif</thumbnail_url><duration>238.336</duration><title>Using SenseLab and Jev for building voice agents</title><description>Show how SenseLab and Jev can be used to build voice agents that can handle custom user calls and learn from previous interactions</description></oembed>