Runs OpenAI sentiment analysis over GitHub issues and their comment threads, tracking scores per issue in Airtable and flagging negative turns.
What it does: Automated workflow: Splitout Workflow. This workflow integrates 14 different services: airtableTrigger, stickyNote, airt.
Nodes: Issues to List, OpenAI Chat Model, Combine Sentiment Analysis, Sentiment over Issue Comments, Copy of Issue, For Each Issue..., Get Existing Sentiment, Update Row and 12 more.
App integrations: Airtable, Slack.
Node count: 20.
Credentials required: openAi, airtableToken, httpHeaderAuth, slack.
Difficulty: Medium | Setup time: ~10 minutes.
This workflow is production-ready and sources from Zie619/n8n-workflows.
With an active subscription, download the workflow file right from this page or your dashboard.
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
Run once with sample input, confirm the expected output, then flip the activate toggle.
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