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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
- Manual Trigger
- Notion
- Return success to chat
- Auto-fixing Output Parser
- Anthropic Chat Model
- Set schema for eval
- Return error to chat
- Anthropic Chat Model1
- standardize schema
- Simplify properties object
- Structured Output Parser
- Set input data
- Set schem for rerun
- Add feedback prompt
20 steps in total.
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