Zapier → OpenAI → Notion AI Safety Database
Automatically collect and categorize AI reasoning failures from multiple sources into a searchable database for safety research and model improvement.
Workflow Steps
Zapier
Trigger on new submissions
Create triggers for Google Forms, email, or webhook submissions containing AI outputs that need safety analysis. Set up filters for relevant content types.
OpenAI API
Classify reasoning patterns
Use GPT-4 to analyze submitted AI outputs for reasoning failure types: incomplete chains, logical gaps, overconfident conclusions. Return structured JSON with categories and severity.
Notion API
Create database entries
Automatically create new pages in a Notion database with fields for original input, AI output, failure type, severity score, and analysis timestamp. Tag entries for easy filtering.
Workflow Flow
Step 1
Zapier
Trigger on new submissions
Step 2
OpenAI API
Classify reasoning patterns
Step 3
Notion API
Create database entries
Why This Works
Zapier's broad integration capabilities combined with OpenAI's classification power and Notion's structured storage creates a comprehensive system that scales automatically as reports come in.
Best For
Research teams building datasets of AI reasoning failures
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