AI Agents
Monitor Slack channels and summarize messages with AI
19 nodes
280
142
Scheduled trigger
Workflow Description
Scheduled automation that monitors Slack channel messages periodically, uses OpenAI models to summarize and categorize them, then creates tasks in Linear based on important messages requiring action.
How it works
- 1.Automation triggers on a defined schedule
- 2.Fetch messages from designated Slack channels
- 3.Process messages through an LLM chain to extract key information
- 4.Analyze and categorize data according to priorities
- 5.Create tasks in Linear for items requiring action
Use cases
- Track important Slack discussions and convert them into organized work tasks
- Automatically extract ideas and suggestions from conversations and categorize them
- Send daily or weekly summaries of team decisions and action items
Requirements
- Connected Slack account with access to designated channels
- OpenAI API key for language model access
- Linear workspace with permissions to create tasks
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Slack
OpenAI
Output Parser
Linear
LLM Chain
Details
Trigger
Scheduled trigger
Nodes
19
Apps
5
Views
280
Downloads
142
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (19)
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Slack
Slack
OpenAI Chat Model
OpenAI
Structured Output Parser
Output Parser Structured
Schedule Trigger
Schedule Trigger
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Get Values
Set
Create New Ticket?
If
Sticky Note2
Sticky Note
Sticky Note6
Sticky Note
Get Existing Issues
Linear
Generate Ticket Using ChatGPT
LLM Chain
Sticky Note3
Sticky Note
Create Ticket
Linear
Merge
Merge
Get Hashes Only
Set
Collect Descriptions
Aggregate
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note