9h • Wins 🌟
I Built a Production-Ready AI Customer Support Agent — Here's How
🚀 Just shipped my first ever production-ready
AI project — and I'm really proud of this one.
A few months ago I had zero knowledge of AI
automation. Today I just completed a full
AI Customer Support Agent from scratch.
Here's how I built it:
Tech Stack:
→ n8n (orchestration)
→Open AI (LLM)
→ Pinecone (vector DB / RAG)
→ Telegram (user interface)
→ Resend API (email notifications)
Architecture:
→ Telegram Trigger receives customer message
→ AI Agent queries Pinecone KB via tool call
→ IF node detects [ESCALATE] tag in response
→ True path: Resend API fires email to support team
→ Both paths: Clean output sent back via Telegram
Key challenges I solved:
🔧 Bilingual RAG (Bangla + English auto-detect)
🔧 [ESCALATE] tag system for reliable escalation
detection (keyword matching was too fragile)
🔧 Code node to strip internal tags before
customer sees the message
🔧 SMTP port blocked on VPS → switched to
Resend HTTP API
Demo video + n8n workflow screenshot below 👇
What industry do you think needs this kind of
automation the most — e-commerce, SaaS, or
local business?
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1 comment
I Built a Production-Ready AI Customer Support Agent — Here's How
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