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