<?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/0a38a253cc2543a5a0f177de44d9b8ff&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/0a38a253cc2543a5a0f177de44d9b8ff-fc48775b5bc2e317.gif</thumbnail_url><duration>956.194</duration><title>Leveraging AI for Parking Layout Design in Revit</title><description>In this video, I walk you through a workflow I&apos;ve been experimenting with that utilizes AI as a design partner within Revit to create a parking layout. I demonstrate how to export a filled region&apos;s boundary as a JSON file, which I then use with Claude, my chosen LLM, to generate a parking layout. After comparing my layout with Claude&apos;s output, I show how to bring the final design back into Revit using a script that translates the JSON data into actual parking families. I encourage viewers to consider how they might leverage AI in their own design processes and to explore the viewer tool I developed for visualizing layouts.</description></oembed>