{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/11da3a475354492dbcc1da3d89fbcc95\" frameborder=\"0\" width=\"2228\" height=\"1671\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1671,"width":2228,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1671,"thumbnail_width":2228,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/11da3a475354492dbcc1da3d89fbcc95-3a03c7484ce11022.gif","duration":231.593,"title":"Creating a Telegram Integration: Challenges and Solutions","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're interested in exploring the code or have any suggestions, feel free to dive in!"}