<?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/3d45599d1880402ea8c150750ed65637&quot; frameborder=&quot;0&quot; width=&quot;1770&quot; height=&quot;1327&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1327</height><width>1770</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1327</thumbnail_height><thumbnail_width>1770</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3d45599d1880402ea8c150750ed65637-cd756aa43b1af2bc.gif</thumbnail_url><duration>228.1275</duration><title>Efficiently Generating AI Presentation Content with Gamma API</title><description>In this video, I share how I extensively use the Gamma API to generate content for my AI classes, specifically for a 30-day challenge where I create a 20-minute presentation every weekday. I demonstrate my cloud code agent, RT Gamma, which transforms my Markdown documents into structured presentations with slide markers and durations. Additionally, I explain a process called create gamma that generates HTML documents linked to the presentations. This setup allows me to efficiently manage content creation while being considerate of the API&apos;s limits. I encourage viewers to explore these tools and consider how they might enhance their own content generation processes.</description></oembed>