17h • I Made this
🚀 Built an AI-Powered Gmail Support Automation with n8n + LLMs
I just finished building an end-to-end AI customer support workflow using n8n, and I’m really excited about how powerful and clean this setup turned out.
🔧 What this workflow does:
📩 Monitors Gmail in real time using a Gmail Trigger
🧠 Classifies incoming emails (Customer Support vs Other) using an LLM
🤖 Automatically generates friendly, human-like replies for support emails
📚 Uses a Pinecone vector knowledge base (FAQ & policies) for accurate answers
✍️ Responds as a branded support agent (“Mr. Helpful from Tech Haven Solutions”)
🏷️ Applies Gmail labels automatically for better inbox organization
⛔ Non-support emails are safely ignored
🛠 Tech Stack:
n8n (workflow orchestration)
OpenAI GPT-4o & OpenRouter (LLMs)
LangChain nodes (agents, classifiers, tools)
Pinecone (vector database for RAG)
Gmail API (triggering & labeling)
💡 Why this matters:
This setup drastically reduces manual support workload while still keeping responses:
Context-aware
Knowledge-grounded
Brand-consistent
Fast ⚡
It’s a great example of how AI agents + RAG + automation can deliver real business value—not just demos.
If you’re exploring AI automation, n8n workflows, or LLM-powered customer support, I’d love to connect and exchange ideas.
1
1 comment
🚀 Built an AI-Powered Gmail Support Automation with n8n + LLMs
powered by
skool.com/qya-automations-1935
DataLinkk AI Skool: Your go-to hub for mastering automation using n8n, Make.com, LangChain, LangGraph, and LangSmith for GenAI.
Suggested communities
Powered by