<?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/8c5056bf97924a9faf4536f95ec3759f&quot; frameborder=&quot;0&quot; width=&quot;1318&quot; height=&quot;988&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>988</height><width>1318</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>988</thumbnail_height><thumbnail_width>1318</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/8c5056bf97924a9faf4536f95ec3759f-27152d7f0e66616f.gif</thumbnail_url><duration>227.679</duration><title>Building a Video Transcoding Platform Together 🎥</title><description>In this video, I compared two AI platforms, Loverville and Flodia, for building a transcoding application. Flodia quickly set up the entire pipeline with FFMB-G, allowing me to upload videos, adjust quality, extract audio, and even export GIFs. While Loverville is solid, it focuses more on UI than functionality. I encourage you to try both platforms and see which one suits your needs better. I&apos;ll drop the exact prompt I used in the comments for you to experiment with.</description></oembed>