Built an AI agent that reads incoming customer emails, finds the answer in the company'sBuilt an AI agent that reads incoming customer emails, finds the answer in the company's
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Built an AI agent that reads incoming customer emails, finds the answer in the company's help docs using RAG (retrieval-augmented generation), and drafts a reply automatically. The key feature: it scores its own confidence. When it's sure, it drafts a reply. When the docs don't cover the question, it escalates to a human instead of guessing so it never hallucinates answers to customers. Stack: n8n, Gemini, vector embeddings for retrieval, confidence-gated routing. Cuts support response time while keeping a human in the loop for edge cases.
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The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started