3d โข I Made this
๐ 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 Iโm really excited about how powerful and clean this setup turned out.
๐ง What this workflow does:
๐ฉ Monitors Gmail in real time using a Gmail Trigger
๐ง Classifies incoming emails (Customer Support vs Other) using an LLM
๐ค Automatically generates friendly, human-like replies for support emails
๐ Uses a Pinecone vector knowledge base (FAQ & policies) for accurate answers
โ๏ธ Responds as a branded support agent (โMr. Helpful from Tech Haven Solutionsโ)
๐ท๏ธ Applies Gmail labels automatically for better inbox organization
โ Non-support emails are safely ignored
๐ Tech Stack:
n8n (workflow orchestration)
OpenAI GPT-4o & OpenRouter (LLMs)
LangChain nodes (agents, classifiers, tools)
Pinecone (vector database for RAG)
Gmail API (triggering & labeling)
๐ก Why this matters:
This setup drastically reduces manual support workload while still keeping responses:
Context-aware
Knowledge-grounded
Brand-consistent
Fast โก
Itโs a great example of how AI agents + RAG + automation can deliver real business valueโnot just demos.
If youโre exploring AI automation, n8n workflows, or LLM-powered customer support, Iโd love to connect and exchange ideas.
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๐ Built an AI-Powered Gmail Support Automation with n8n + LLMs
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