<?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/8008ed9df2504e0b93892695fe83cf9d&quot; frameborder=&quot;0&quot; width=&quot;1670&quot; height=&quot;1252&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1252</height><width>1670</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1252</thumbnail_height><thumbnail_width>1670</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/8008ed9df2504e0b93892695fe83cf9d-8a1118c5b42f2860.gif</thumbnail_url><duration>199.197</duration><title>Building a Fleet of AI Agents for Personal and Professional Use 🚀</title><description>In this video, I’m giving you an overview of a fleet of agents I’ve developed for my family and work, including my main agent, Dr. Theopolis, and others like Argus for competitive intelligence and Jobs as an AI CEO for Strider Labs. I’ve found these agents incredibly useful, especially in my new role as CRO for a MedTech software company, where they help me analyze employee interview results and aggregate data effectively. I believe this approach, while not entirely novel, has taken significant effort and feels like a video game where I keep adding capabilities. I encourage you to consider how similar systems could enhance your own workflows. Let me know your thoughts!</description></oembed>