Log AI Reasoning Chains → Detect Anomalies → Create Incident Reports
Automatically capture chain-of-thought reasoning from AI systems, detect unusual or concerning reasoning patterns, and generate detailed incident reports for review.
Workflow Steps
Make
Capture AI reasoning chains
Set up Make scenarios to intercept and log AI responses that include chain-of-thought reasoning. Parse out the step-by-step thinking process, confidence levels, and final conclusions from your AI tools.
Claude
Evaluate reasoning quality
Send captured reasoning chains to Claude with a specialized prompt that evaluates logical consistency, identifies potential biases, checks for factual errors, and flags reasoning that deviates from expected patterns.
Airtable
Store findings and track trends
Create an Airtable base with tables for reasoning logs, anomaly reports, and trend analysis. Include fields for reasoning quality score, anomaly type, severity level, and resolution status. Set up automation rules for high-priority alerts.
Workflow Flow
Step 1
Make
Capture AI reasoning chains
Step 2
Claude
Evaluate reasoning quality
Step 3
Airtable
Store findings and track trends
Why This Works
Leverages Claude's strong reasoning abilities to meta-analyze other AI systems, creating a robust second-opinion system for quality assurance
Best For
AI researchers and safety teams who need to monitor and improve the reasoning capabilities of deployed AI systems
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