a Facebook Messenger customer service AI chatbot with Google Gemini Buildout Workflow

Workflow overview

Why this workflow matters

Useful for software delivery and engineering operations. Relevant for managed services and support workflows.

🤖 Build a customer service AI chatbot for Facebook Messenger with Google Gemini 📌 Overview A streamlined Facebook Messenger chatbot powered by AI with conversation memory. This is a simplified version designed for quick deployment, learning, and testing — not suitable for production environments. Base workflows: Smart message batching AI-powered Facebook Messenger chatbot use Data Table Smart human takeover & auto pause AI-powered Facebook Messenger chatbot 🎯 What This Workflow Does ✅ Core Features: Receives messages from Facebook Messenger via webhook Processes user messages with Google Gemini AI Maintains conversation context using Simple Memory node Automatically responds with AI-generated replies Handles webhook verification for Facebook setup Send image or video to customer through Facebook Messenger 🔹 Simplified Approach: Memory**: Simple Memory node (10-message window) Format**: Cleans text, strips markdown, truncates >1900 chars Response**: Single message delivery ⚠️ Limitations & Trade-offs: No Smart Batching → fragmented user messages cause spam-like replies No Human Takeover Detection → bot continues even when admin joins Basic Memory Management → no persistence, not reliable in production Basic Text Formatting → strips markdown, truncates brutally, no smart splitting 🚀 When to Upgrade Upgrade to full workflows when you need: Production deployment with reliability & persistence Analytics & tracking (query history, reports) Professional formatting (bold, italic, lists, code blocks) Handling long messages (>2000 chars) Smart batching for fragmented inputs Human handoff detection Full conversation persistence Key upgrades available: Smart message batching workflow Smart human takeover workflow ⚙️ Setup Requirements Facebook Setup Create Facebook App at developers.facebook.com Add Messenger product Configure webhook: URL: https://your-domain.com/webhook/your-path Verify token: secure string Subscribe to: messages, messaging_postbacks Generate Page Access Token Copy token to "Set Context" node AlekSystem Setup Import workflow Edit "Set Context" node → update page_access_token Configure "Gemini Flash" node credentials Deploy workflow (must be publicly accessible) 🔄 How It Works User Message → Facebook Webhook → Validation ↓ Set Context (extract user_id, message, token) ↓ Mark Seen → Show Typing ↓ AI Agent (Gemini + 10-message memory) ↓ Format Output (remove markdown, truncate) ↓ Send Response via Facebook API 🏗️ Architecture Overview Section 1: Webhook & Initial Processing Facebook Webhook: handles GET (verification) & POST (messages) Confirm Webhook: returns challenge / acknowledges receipt Filters text messages only Blocks echo messages from bot itself Section 2: AI Processing with Memory Set Context: extracts user_id, message, token Seen & Typing: user feedback Conversation Memory: 10-message window, per-user isolation Process Merged Message: AI Agent with Jenix persona Gemini Flash: Google’s AI model for response generation Section 3: Format & Delivery Cuts replies >2000 chars, strips markdown Sends text via Facebook Graph API 🎨 Customisation Guide Bot Personality**: edit system prompt in "Process Merged Message" node Memory**: adjust contextWindowLength (default 10), change sessionKey if needed AI Model**: replace Gemini Flash with OpenAI, Anthropic Claude, or other LLMs 📌 Important Notes ⚠️ Production Warning: testing only, memory lost on AlekSystem restart in queue mode 📊 No Analytics: no history storage, no reporting 🔧 Format Limitations: responses ≤1800 chars, markdown stripped, no complex formatting 🛠️ Troubleshooting Bot not responding** → check token, webhook accessibility, event subscriptions Memory not working** → verify session key, ensure not in queue mode, restart workflow Messages truncated** → adjust system prompt for conciseness, reduce response length 📜 License & Credits Created by: Nguyễn Thiệu Toàn (Jay Nguyen) Email: me@nguyenthieutoan.com Website: nguyenthieutoan.com AlekSystem Creator: AlekSystem.io/creators/nguyenthieutoan Company: GenStaff

Best fit

Need another direction?