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AI Agents & Assistants

Analyze YouTube Channels with an OpenAI Agent

When another workflow calls it, an OpenAI agent gets channel details, videos, comments and thumbnails from YouTube and analyzes them.

What it does

# Stickynote Workflow ## Overview Automated workflow: Stickynote Workflow. This workflow integrates 12 different services: stickyNote, httpRequest, agent, memoryPostgresChat, set. It contains 43 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 43 - Node Types: 12 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Sticky Note9: stickyNote - Sticky Note7: stickyNote - Sticky Note6: stickyNote - OpenAI Chat Model: lmChatOpenAi - get_channel_details: toolWorkflow - get_video_description: toolWorkflow - get_list_of_videos: toolWorkflow - get_list_of_comments: toolWorkflow - search: toolWorkflow - analyze_thumbnail: toolWorkflow - ... and 33 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. OpenAI Chat Model
  2. get_channel_details
  3. get_video_description
  4. get_list_of_videos
  5. get_list_of_comments
  6. search
  7. analyze_thumbnail
  8. video_transcription
  9. Postgres Chat Memory
  10. AI Agent
  11. When chat message received
  12. Get Comments
  13. Execute Workflow Trigger
  14. Get Channel Details

79 steps in total.

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