This n8n workflow automates the process of fetching, analyzing, and summarizing emails based on user requests received via Telegram. The workflow begins with a Telegram trigger, capturing user instructions on email searches, such as sender, keywords, and date ranges. An AI agent processes this input to generate precise Gmail search queries and fetch relevant emails through Gmail API. The email data is then analyzed by Google Gemini language models to extract and structure key information. The results are formatted into user-friendly Telegram messages, providing concise summaries, date, sender, subject, and snippets. This workflow is particularly useful for busy professionals who want quick insights into their emails without manual searching, enabling efficient communication and email management through chat commands.
Automated Email Analysis and Summarization Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, gmail, set, stickyNote, telegram, telegramTrigger |
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