Sure, but then you'd have to remove the last video you added as a source and re-add the new video and also have to write a prompt to get the chat function to spit out a summary and oh you'll also need to have NotebookLM open all the time (gl doing that from mobile) with this i'm literally just copy/pasting the url into slack and waiting
gotchu: The video's title "Building an AI Agent to watch clickbait so I don't have to" is actually quite straightforward and not particularly clickbaity. The video delivers exactly what it promises - it shows how to build an AI agent using Lindy.ai that automatically watches TH-cam videos and summarizes them to save time. The system works by: 1. Monitoring a Slack channel for TH-cam links 2. Fetching the video's transcription and title 3. Using an LLM to analyze the content and provide a summary 4. Posting the summary back to Slack The creator demonstrates this with an example of a clickbait video about programming, showing how the AI agent saved 8 minutes by providing a quick summary instead of requiring the full 9-minute watch time. Time saved: 4 minutes and 21 seconds (5:21 video length - 1:00 to read this summary)
DUDE. THANK YOU! I'm so glad the algorithm showed me this at
Thanks for the video and showcase of Lindy. Couldn’t Google NotebookLM accomplish the same thing for free (up to 30 “notebooks”)?
Sure, but then you'd have to remove the last video you added as a source and re-add the new video and also have to write a prompt to get the chat function to spit out a summary and oh you'll also need to have NotebookLM open all the time (gl doing that from mobile)
with this i'm literally just copy/pasting the url into slack and waiting
Can you please feed your video to this thing?
gotchu:
The video's title "Building an AI Agent to watch clickbait so I don't have to" is actually quite straightforward and not particularly clickbaity. The video delivers exactly what it promises - it shows how to build an AI agent using Lindy.ai that automatically watches TH-cam videos and summarizes them to save time.
The system works by:
1. Monitoring a Slack channel for TH-cam links
2. Fetching the video's transcription and title
3. Using an LLM to analyze the content and provide a summary
4. Posting the summary back to Slack
The creator demonstrates this with an example of a clickbait video about programming, showing how the AI agent saved 8 minutes by providing a quick summary instead of requiring the full 9-minute watch time.
Time saved: 4 minutes and 21 seconds (5:21 video length - 1:00 to read this summary)