This n8n workflow automates the process of providing personalized book recommendations based on email requests. When a user sends an email requesting a book recommendation, the workflow triggers, uses an AI language model to analyze the email content and identify the requested genre or subject, then searches a book database API for relevant titles. If books are found, it retrieves detailed information, formats an engaging email with the book details and links, and sends it back to the user. In case no books match the request, it notifies the user appropriately. This workflow is ideal for reading clubs, eBook services, or educational platforms seeking to automate book suggestion responses efficiently.
Automated Personalized Book Recommendations from Email Requests
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOllama, code, emailReadImap, emailSend, httpRequest, if, set, stickyNote, wait |
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