{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3948c00a2bd947babbfcb6c998527710\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3948c00a2bd947babbfcb6c998527710-5f88ee2167e4a3ab.gif","duration":469.291,"title":"Introducing the AI-Assistant for YouTube Comment Management","description":"In this video, I present a demo of my AI-assistant application designed for YouTube content creators who struggle to manage their growing workload. The application fetches new comments, classifies them using AI, and generates draft responses that the channel owner can approve before posting. I showcase the dashboard, which includes tabs for approved comments, rejected comments, and spam messages. I also demonstrate how the AI-generated replies work and verify that comments are successfully posted. I invite viewers to check my GitHub link for more detailed information about the application."}