AI News Monitoring & Summarization Workflow

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This n8n workflow automates the process of monitoring news articles related to artificial intelligence, data science, and machine learning. It starts with a scheduled trigger every hour, then fetches article feeds from predefined RSS URLs stored in Google Sheets. The workflow classifies each article as relevant or not using OpenAI’s language models. Relevant articles are scraped using Jina AI to extract full content, which is then summarized and reformatted into Slack markdown messages for posting to a dedicated Slack channel. Additionally, it maintains a Google Sheets database to track processed articles, avoiding duplicates and storing summaries for future reference. This setup is ideal for industry professionals, research teams, and companies wanting to stay updated on niche topics efficiently and automatically.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textClassifier, code, googleSheets, httpRequest, if, noOp, rssFeedRead, scheduleTrigger, set, slack, stickyNote

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