Automated News Summarization and Newsletter Generation Workflow

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This n8n workflow automates the process of collecting news articles, summarizing content, and generating newsletters using AI language models. It is designed for media outlets, content curators, or marketing teams seeking to streamline content creation and distribution.

Starting with a scheduled trigger, the workflow fetches news data from Google Sheets, processes each news item through a series of AI agents for summarization, titling, and content enhancement. It employs multiple AI models including ChatGPT and LangChain tools for tasks such as summarization, research, outlining, and editing.

The workflow includes steps to generate article titles, refine content, and organize chapters. It also facilitates collaboration by delegating tasks among various AI agents, ensuring comprehensive research and polished outputs. Once the content is ready, it can automatically be sent via email through Gmail nodes or prepared for further publication.

This workflow is ideal for automating routine content curation, enhancing news articles with AI-generated insights, and efficiently producing newsletters ready for distribution, saving significant manual effort.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolWorkflow, code, executeWorkflowTrigger, gmail, googleSheets, httpRequest, markdown, merge, scheduleTrigger, set, splitInBatches, splitOut, stickyNote, switch

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