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Multi-channel AI agent platform that routes customer conversations across Web Chat, WhatsApp, and Email from a single inbox. The backend runs on Node.js with Express, using WebSocket for real-time message delivery and typing indicators. Each channel has its own adapter: WhatsApp connects through the Business API webhook, email through IMAP polling with 30-second intervals, and web chat through a lightweight JS widget that drops into any page. The agent responds using retrieval-augmented generation — incoming messages are matched against a knowledge base of uploaded documents (FAQ, product catalogs, return policies) via vector embeddings, then formatted into natural conversational responses with source attribution. Built a conversation routing engine that handles automatic handoff to human agents when confidence drops below threshold, with full conversation history preserved across channel switches. Configurable personality, tone, and language settings per agent. Node.js + Express backend, React frontend with real-time state management via WebSocket.
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How the chat widget actually knows what to say:
1. Trained on real docs and past support conversations, not generic scripts
2. Escalates to a human the moment it's unsure, instead of guessing
3. Every conversation logs for follow-up, so nothing gets lost
→ Want this running on your site? Happy to walk through it.
When the bot hands off at low confidence it protects the user experience. Logging every chat gives you a solid trail for follow up.
3 signs your site needs 24/7 chat:
1. Visitors browse well outside business hours
2. Contact-form leads go cold overnight
3. The same questions get typed into search before anyone asks
→ If this sounds familiar, the visitors are already there — just no one to answer them.
Problem: Apps need a secure, organized backend to handle users, orders, products and AI features.
Solution: Built a centralized API Gateway (BFF) in n8n Cloud. One webhook handles validation, API key security and rate limiting, then routes to sub-workflows: Users (register/login), Orders (stock check, totals, status), Products (search), and AI (OpenAI chat, recommendations, review summaries). Supabase is the database.
Tools: n8n, Supabase, OpenAI API, Webhooks
Self-initiated demo project.
I'd test authorization separately for each sub-workflow, especially Orders. Does the gateway pass a verified user identity through, or does the Orders workflow check that the caller can access each order?