Get faster replies out of your support inbox without losing control. The flow reads new messages, summarizes them, pulls the right facts from your knowledge base, writes a short answer, and asks for a simple approval before sending. It suits teams that handle many inbound questions and want consistent, on brand replies.
Here is how it works. New emails arrive through IMAP. The body is converted to Markdown so the models can read it clearly, then a summarization chain powered by DeepSeek creates a short brief. A Qdrant vector store, filled with your company documents using OpenAI embeddings, is queried to fetch helpful context. OpenAI writes a reply under 100 words. The draft is sent to Gmail where you approve with a YES or NO. If approved, the message goes out via SMTP with the original subject and recipient.
To set it up, you need Gmail, IMAP and SMTP access, OpenAI, OpenRouter for the DeepSeek model, and a Qdrant collection with your documents. Add the collection name and API keys, then test with a real email. Teams typically cut handling time per message and keep answers consistent across agents. Good fits include product questions, policy requests, and simple sales inquiries that need fast, accurate replies.