<?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/11da3a475354492dbcc1da3d89fbcc95&quot; frameborder=&quot;0&quot; width=&quot;2228&quot; height=&quot;1671&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1671</height><width>2228</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1671</thumbnail_height><thumbnail_width>2228</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/11da3a475354492dbcc1da3d89fbcc95-3a03c7484ce11022.gif</thumbnail_url><duration>231.593</duration><title>Creating a Telegram Integration: Challenges and Solutions</title><description>In this video, I walk you through the AI-driven integration I developed for Telegram, which fetches messages into a database. I encountered some challenges, like needing to create a public channel instead of a private one due to integration issues. After a few prompts and adjustments, I successfully set up the integration to save message text correctly. I also created a user interface to display the messages and authentication details. If you&apos;re interested in exploring the code or have any suggestions, feel free to dive in!</description></oembed>