Templates by Denis
Automate salon appointment management with WhatsApp, GPT & Google Calendar
🤖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.
By DenisNano Banana/Gemini 2.5 Telegram bot with multi-modal functionality
How it works Multi-modal AI Image Generator powered by Google's Nano Banana (Gemini 2.5 Flash Image) - the latest state-of-the-art image generation model Accepts text, images, voice messages, and PDFs via Telegram for maximum flexibility Uses OpenAI GPT models for conversation and image analysis, then Nano Banana for stunning image generation Features conversation memory for iterative image modifications ("make it darker", "change to blue") Processes different input types: analyzes uploaded images, transcribes voice messages, extracts PDF text All inputs are converted to optimized prompts specifically tuned for Nano Banana's capabilities Set up steps Create Telegram bot via @BotFather and get API token Set up Google Gemini API key from Google AI Studio for Nano Banana image generation (~$0.04/image) Configure OpenAI API key for GPT models (conversation, image analysis, voice transcription) Import workflow and configure all three API credentials in n8n Update bot tokens in HTTP request nodes for file downloads Test with text prompts, image uploads, voice messages, and PDF documents
By DenisMulti-agent salon appointment management with Telegram, GPT5-mini & Claude MCP
🤖 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.
By DenisComplete Airtable database management with AI agents and Redis storage
What this workflow does Complete Airtable database management system using MCP (Model Context Protocol) for AI agents. Create bases, tables with complex field types, manage records, and maintain state with Redis storage. Setup steps Add your Airtable Personal Access Token to credentials Configure Redis connection for ID storage Get your workspace ID from Airtable (starts with wsp...) Connect to MCP Server Trigger Configure your AI agent with the provided instructions Key features Create new Airtable bases and custom tables Support for all field types (date, number, select, etc.) Full CRUD operations on records Rename tables and fields Store base/workspace IDs to avoid repeated requests Generic operations work with ANY Airtable structure Included operations createbase, createcustomtable, addfield gettableids, getexistingrecords updaterecord, renametable, rename_fields delete_record get/set baseid and workspaceid (Redis storage) Notes Check sticky notes in workflow for ID locations and field type requirements.
By Denis