Email Daily Air Quality and Pollen Advice with OpenAI

# AirQuality Scheduler ## Overview Automated workflow: AirQuality Scheduler. This workflow integrates 9 different services: stickyNote, httpRequest, gmailTool, agent, scheduleTrigger. It contains 17 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 17 - Node Types: 9 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Get Air data: httpRequest - Get Pollen data: httpRequest - AI Agent: agent - Think: toolThink - OpenAI Chat Model: lmChatOpenAi - Gmail: gmailTool - Schedule Trigger: scheduleTrigger - Sticky Note: stickyNote - Sticky Note1: stickyNote - Set Your Location Coordinates: set - ... and 7 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