Query Slack Channel History with Natural Language using OpenAI
AI-powered workflow to fetch Slack channel history and answer natural language queries like summaries, action items, or blockers directly from messages.
This workflow enables users to interact with Slack channel histories using natural language powered by OpenAI. It retrieves recent messages from a specified Slack channel and processes user queries (e.g., 'summarize yesterday's decisions' or 'list blockers') exclusively from the actual content, ensuring accurate, grounded responses without hallucinations.
Key benefits include massive time savings for teams by automating manual message scrolling, extracting insights like action items, mentions, files, or trends. Ideal for HR & Operations in fast-paced environments to track discussions, monitor progress, or generate reports without dedicated tools.
Use cases: Daily standup summaries, sprint retrospectives, identifying unresolved issues, or auditing shared resources. Setup involves OpenAI API key and Slack Bot token with history scopes; supports public/private channels and customizable time ranges.
Contact: robert@ynteractive.com for customizations like auto-replies.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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