This workflow automates the process of capturing Slack messages, analyzing their content with AI, tagging, and creating detailed Notion pages for organized knowledge management. It begins with a scheduled trigger initiating the retrieval of Slack messages, then filters messages with a star reaction to prioritize important content. Using OpenAI’s language model, it generates summaries and titles, which are then used to create new pages in Notion, enriching a workspace with curated insights. Additional nodes facilitate tagging and linking messages, ensuring a seamless flow of information. This workflow is ideal for teams that want to efficiently document and categorize critical Slack conversations into a structured, searchable knowledge base in Notion, powered by AI insights.
Automated Slack to Notion with Rich Tagging and AI Summaries
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, if, notion, scheduleTrigger, set, slack, stickyNote |
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