Google Calendar and Redis integration

How It Works The system collects real-time wearable health data, normalizes it, and uses AI to analyze trends and risk scores. It detects anomalies by comparing with historical patterns and automatically triggers alerts and follow-up actions when thresholds are exceeded. Setup Steps Configure Webhook Endpoint - Set up webhook to receive data from wearable devices Connect Database - Initialize storage for health metrics and historical data Set Normalization Rules - Define data standardization parameters for different devices Configure AI Model - Set up health score calculation and risk prediction algorithms Define Thresholds - Establish alert triggers for critical health metrics Connect Notification Channels - Configure email and Slack integrations Set Up Reporting - Create automated report templates and schedules Test Workflow - Run end-to-end tests with sample health data Workflow Template Webhook → Store Database → Normalize Data → Calculate Health Score → Analyze Metrics → Compare Previous → Check Threshold → Generate Reports/Alerts → Email/Slack → Schedule Follow-up Workflow Steps Ingest real-time wearable data via webhook, store and standardize it, and use GPT-4 for trend analysis and risk scoring. Monitor metrics against thresholds, trigger SMS, email, or Slack alerts, generate reports, and schedule follow-ups. Setup Instructions Configure webhook, database, GPT-4 API, notifications, calendar integration, and customize alert thresholds. Prerequisites Wearable API, patient database, GPT-4 key, email SMTP, optional Slack/Twilio, calendar integration. Use Cases Monitor glucose for diabetics, track elderly vitals/fall risk, assess corporate wellness, and post-surgery recovery alerts. Customization Adjust risk algorithms, add metrics, integrate telemedicine. Benefits Early intervention reduces readmissions and automates 80% of monitoring tasks.

🤖 Multi-Agent AI Telegram Bot for Service Businesses Transform your salon/service business with this streamlined Telegram automation system featuring Claude integration, zero-setup database management, and intelligent conversation handling. How It Works Core Architecture Claude MCP Integration** - Direct connection to Claude Sonnet 4 via Model Context Protocol Streamlined 2-Agent System** - Booking Agent and Admin Agent (simplified from 5 for better reliability) GPT-5 Mini Primary** with Gemini 2.5 Flash backup for cost-effective processing Multi-Media Support** - Handles text, voice (Whisper transcription), images, and PDFs with cost extraction Smart Acknowledgments** - "One moment…", "Let me check availability…" during processing Rate Limiting & Spam Protection** - Configurable limits (default: 100 msg/hour) with professional UX Zero-Setup Database Management Autonomous Airtable Creation** - Bot creates all necessary tables automatically Complete CRUD Operations** - Create, edit, delete services and settings via Telegram Dynamic Business Configuration** - Modify hours, pricing, services conversationally Friend Booking Support** - "Book for my friend Sarah" functionality Setup Steps Telegram Business API setup (detailed instructions included) Airtable Base ID extraction (store in Redis or hardcode - recommended) Google Calendar integration for scheduling Redis for caching, rate limiting, and conversation memory MCP Server deployment for Claude integration Telegram for notifications Key Features Booking Management Booking Limit Control** - Default 6 appointments per customer (configurable in workflow) Service Name Matching** - GPT-5 Nano workflow for cost-optimized service recognition 24-Hour Advance Reminders** - Automatic Telegram reminders sent at 8 PM Conversation Handling Conversation Memory** maintains context across interactions Error Resilience** with backup models and graceful failure handling Use Cases Perfect for: Salons Spas Clinics Consulting services Any appointment-based business Complete business setup happens through conversational commands - no manual database configuration required. Transform your service business with intelligent automation powered by AI and Telegram integration.

🤖Multi-Agent AI WhatsApp Bot for Service Businesses Transform your salon/service business with this streamlined WhatsApp automation system featuring Claude integration, zero-setup database management, and intelligent conversation handling. How it works Claude MCP Integration** - Direct connection to Claude Sonnet 4 via Model Context Protocol Streamlined 2-Agent System** - Booking Agent and Admin Agent (simplified from 5 for better reliability) GPT-5 Mini Primary** with Gemini 2.5 Flash backup for cost-effective processing Multi-Media Support** - Handles text, voice (Whisper transcription), images, and PDFs with cost extraction Smart Acknowledgments** - "One moment...", "Let me check availability..." during processing Rate Limiting & Spam Protection** - Configurable limits (default: 100 msg/hour) with professional UX Zero-Setup Database Management Autonomous Airtable Creation** - Bot creates all necessary tables automatically Complete CRUD Operations** - Create, edit, delete services and settings via WhatsApp Dynamic Business Configuration** - Modify hours, pricing, services conversationally Friend Booking Support** - "Book for my friend Sarah" functionality Set up steps WhatsApp Business API** setup (detailed instructions included) Airtable Base ID** extraction (store in Redis or hardcode - recommended) Google Calendar** integration for scheduling Redis** for caching, rate limiting, and conversation memory MCP Server** deployment for Claude integration Whatsapp** for notifications Key Features Booking Limit Control** - Default 6 appointments per customer (configurable in workflow) Service Name Matching** - GPT-5 Nano workflow for cost-optimized service recognition 24-Hour Advance Reminders** - Automatic WhatsApp reminders sent at 8 PM Conversation Memory** maintains context across interactions Error Resilience** with backup models and graceful failure handling Perfect for salons, spas, clinics, consulting services, or any appointment-based business. Complete business setup happens through conversational commands - no manual database configuration required.

Workflow Name: 👷‍♂️ Taxi Booking Worker Template was created in n8n v1.90.2 Skill Level: High Categories: n8n, Chatbot Stacks Execute Sub-workflow Trigger node Chat Trigger node Redis node Postgres node Google Calendar node Execute Sub-workflow If node, Switch node, Code node, Edit Fields (Set) Prerequisite Execute Sub-workflow Trigger: Call In Center (or your own node) Sub-workflow: Demo Call Back (or your own node) Production Features Scaling Design* for n8n Queue mode* in production environment Customize Open Booking Action Integrate with Long Term Memory backup. Error Management** What this workflow does? This is a n8n Taxi Booking Worker, the worker node to process the job. It will wait for message from the Call Center node and handle the real process here. In this particular case, it will check the input number for the selected provider, then update the booking from NEW to OPEN, then clean up the orphan data. How it works The Form Trigger node will wait for the message from any node with the input in number. First check for NEW booking under the same chat session For input 0, which is cancel Reset the user session in Redis memory For input 1 or above, which is the provider selection number Set the booking status to OPEN in database OPTIONAL Save the summary to User Memory database OPTIONAL Create a new Event in Google Calendar and sync to the database Reset the user session in Redis memory Afterward, process data clean up Delete the provider selection number queue in Redis Delete the route data in Redis OPTIONAL Delete the chat memory with current session Finally, output the response to the Call Back node Set up instructions Pull and Set up the required SQL from our Github repository. Create you Postgres credentials, refer to n8n integration documentation for more information. Select your Credentials in Booking, Set Open Booking, Sync Booking Google Cal, and Save User Memory. Create you Redis credentials, refer to n8n integration documentation for more information. Select your Credentials in Reset Session, Reset Session 2, Delete Provider Number and Delete Route Data. Create your Google Calendar credentials, refer to n8n integration documentation for more information. Create a Google Calendar, e.g. DEMO Select your Credentials in Create Event, and select the above Calendar FOR TEST ONLY. Enable the Telegram Test Output for testing from the Test Input. How to adjust it to your needs You can specific a number to trigger the specific action based on your needs. The current action only create a event in Google Calendar, you can do more based on your needs. You can replace the sub-workflow trigger Flow Trigger and Call Back to another flow as needs.