<?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/9bf8fa0dba034743be7c65a3c78f0f85&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9bf8fa0dba034743be7c65a3c78f0f85-6249d13b28a95743.gif</thumbnail_url><duration>385.494</duration><title>clawd.party</title><description>In this video, I discussed our plans for scaling our data layer and the challenges we currently face regarding agent task preferences and training. We recognize that agent reputations are not being effectively utilized, which is a gap we aim to address. Once our data is ready, we intend to launch additional projects, including platforms like agent code and skill marketplaces, to help users monetize their skills. I appreciate your time and support as we move forward with this initiative.</description></oembed>