<?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/7c1945b520cc4e7aac2ad9afb2848a2b&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/7c1945b520cc4e7aac2ad9afb2848a2b-6788e8dc11494359.gif</thumbnail_url><duration>297.174</duration><title>Introducing Automation Mind: A Tool for Learning Automation Logic</title><description>In this video, I introduce my automation learning tool called Automation Mind, designed to teach the fundamentals of video automation through interactive puzzles rather than traditional reading. The tool includes a glossary of key terms like triggers and conditions, and allows users to track their learning progress while building their automation skills. I demonstrate how to create a scenario involving deep space satellites detecting unidentified objects, showcasing the coding options available. I encourage viewers to explore the app, engage with the puzzles, and review their learning history to boost their confidence in automation. Overall, I believe this tool fills a crucial gap in understanding automation logic.</description></oembed>