Block 1 - Sticky Note - Section 1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
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 ve...
n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.webhook, n8n-nodes-base.respondtowebhook, n8n-nodes-base.httprequest, n8n-nodes-base.if, n8n-nodes-base.code, n8n-nodes-base.switch
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Nguyễn Thiệu Toàn (Jay Nguyen).
Original n8n.io sourceA 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:
✅ Core Features:
🔹 Simplified Approach:
⚠️ Limitations & Trade-offs:
Upgrade to full workflows when you need:
Key upgrades available:
https://your-domain.com/webhook/your-path messages, messaging_postbackspage_access_token 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
contextWindowLength (default 10), change sessionKey if needed ⚠️ Production Warning: testing only, memory lost on n8n restart in queue mode 📊 No Analytics: no history storage, no reporting 🔧 Format Limitations: responses ≤1800 chars, markdown stripped, no complex formatting
Created by: Nguyễn Thiệu Toàn (Jay Nguyen)
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Build a Facebook Messenger customer service AI chatbot with Google Gemini |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Support Chatbot, AI Chatbot |
| Author | Nguyễn Thiệu Toàn (Jay Nguyen) |
| Published | 28 Jan 2026 |
Use the JSON export at /data/workflows/13080/13080.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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 ve...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.