Automated Morning Briefing Email Workflow

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This workflow automates the process of generating and logging a personalized morning briefing email using n8n. It begins with a webhook trigger, which can be activated manually or through an external system, and proceeds to analyze and process incoming data. The workflow splits text into manageable chunks, generates embeddings for context-aware understanding, and stores this information in a Supabase vector database for efficient retrieval. Using a language model, the data is then synthesized into a briefing tailored for morning delivery. The briefing is logged into Google Sheets for record-keeping, and any errors encountered during the process trigger a Slack alert for prompt troubleshooting. This workflow is ideal for businesses or teams that want to automate daily summaries, ensure consistent information distribution, and maintain logs for review or auditing.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook

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