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 |
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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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