This n8n workflow automates the process of creating structured ebooks by leveraging Google Gemini’s advanced language capabilities. It starts with a manual trigger, takes a title and objectives as input, and utilizes Google Gemini’s multilingual models to generate comprehensive chapter content. The workflow then structures this content, extracts key details, and systematically populates a Google Document, effectively transforming simple input into a polished ebook. Ideal for content creators and educators, this automation streamlines the content development process, saving time and ensuring consistency across chapters.
Automated Ebook Generation Using Google Gemini and n8n
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleDocs, manualTrigger, set, splitInBatches, stickyNote |

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