<?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/c30f3d8c53434cf2af32673ecad0bd54&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c30f3d8c53434cf2af32673ecad0bd54-bf2ec38da72b1ade.gif</thumbnail_url><duration>904.277</duration><title>Understanding Multi-Agent Systems in Analysis 🚀</title><description>In this video, I wanted to showcase the importance of multi-agent systems in competitor analysis, particularly how they can streamline data processing and reporting. I explain how webhooks trigger data parsing and aggregation for companies like Pepsi and Coca-Cola, ultimately sending reports to your preferred CRM. I also touch on the complexities of building these systems and the potential for customization. Please take a moment to review the capabilities discussed, as your feedback would be invaluable.</description></oembed>