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AI Agents & Assistants

Save Chat Ideas to Notion with Claude and OpenAI

When you run it manually, a chat request is structured with Claude and OpenAI and saved as an entry in a Notion database.

What it does

# Stickynote Workflow ## Overview Automated workflow: Stickynote Workflow. This workflow integrates 11 different services: textClassifier, stickyNote, code, agent, outputParserStructured. It contains 24 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 24 - Node Types: 11 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Sticky Note: stickyNote - Notion: notion - Return success to chat: set - Auto-fixing Output Parser: outputParserAutofixing - Anthropic Chat Model: lmChatAnthropic - Set schema for eval: set - Return error to chat: set - Anthropic Chat Model1: lmChatAnthropic - standardize schema: set - Simplify properties object: code - ... and 14 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. Manual Trigger
  2. Notion
  3. Return success to chat
  4. Auto-fixing Output Parser
  5. Anthropic Chat Model
  6. Set schema for eval
  7. Return error to chat
  8. Anthropic Chat Model1
  9. standardize schema
  10. Simplify properties object
  11. Structured Output Parser
  12. Set input data
  13. Set schem for rerun
  14. Add feedback prompt

20 steps in total.

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