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Automate Book Recommendations
Introduction
Finding the perfect book isn't always easy especially when the only input is a short email like "suggest me something thrilling." This workflow takes care of that. It reads the email, figures out what type of book the reader wants, finds options using OpenLibrary, and responds with a thoughtful summary all without lifting a finger.
Why It's a Game-Changer
- Responds instantly with personalized book recommendations
- Saves hours otherwise spent reading and replying manually
- Great for book clubs, libraries, teachers, or recommendation-based newsletters
- Keeps suggestions relevant and fresh, every single time
- Can handle dozens (or hundreds) of requests effortlessly
If you want to know more about this workflow, visit here: Official Workflow Page
Behind the Scenes
Whenever a new email lands, the system listens in. It reads the content, picks out keywords and themes, and searches for book matches using the OpenLibrary API. Once the results are in, Ollama LLM writes a clear and friendly summary of the recommended books. The reply is then sent out-all in just a few seconds.
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