Automatically detect, classify, and document GitHub API errors using AI.
This workflow connects GitHub, OpenAI (GPT-4o), Airtable, Notion, and Slack to build a real-time, searchable API error knowledge base β helping engineering and support teams respond faster, stay aligned, and maintain clean documentation. βοΈππ¬
1οΈβ£ Triggers on new or updated GitHub issues (API-related). πͺ
2οΈβ£ Extracts key fields (title, body, repo, and link). π
3οΈβ£ Classifies issues using OpenAI GPT-4o, identifying error type, category, root cause, and severity. π€
4οΈβ£ Validates & parses AI output into structured JSON format. β
5οΈβ£ Creates or updates organized FAQ-style entries in Airtable for quick lookup. ποΈ
6οΈβ£ Logs detailed entries into Notion, maintaining an ongoing issue knowledge base. π
7οΈβ£ Notifies the right Slack team channel (DevOps, Backend, API, Support) with concise summaries. π¬
8οΈβ£ Tracks & prevents duplicates, keeping your error catalog clean and auditable. π
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Converts unstructured GitHub issues into AI-analyzed documentation
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Centralizes API error intelligence across teams
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Reduces time-to-resolution for recurring issues
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Maintains synchronized records in Airtable & Notion
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Keeps DevOps and Support instantly informed through Slack alerts
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Fully automated, scalable, and low-cost using GPT-4o
1οΈβ£ Connect your GitHub account and enable the βissuesβ webhook event.
2οΈβ£ Add OpenAI credentials (GPT-4o model for classification).
3οΈβ£ Create an Airtable base with fields: Error Code, Category, Root Cause, Severity, Confidence.
4οΈβ£ Configure your Notion database with matching schema and access.
5οΈβ£ Set up Slack credentials and choose your alert channels.
6οΈβ£ Test with a sample GitHub issue to validate AI classification.
7οΈβ£ Enable the workflow β enjoy continuous AI-powered issue documentation!


