Evaluation metric example: Correctness (judged by AI)

Say goodbye to uncertainty in AI accuracy!

This automation helps you confidently evaluate your n8n AI workflows by testing how well answers match expected results. By running a test dataset through your workflow, it calculates correctness scores to highlight strengths and spot weaknesses before going live.

Ideal for anyone building AI chatbots, Q&A systems, or knowledge assistants who want reliable performance metrics.

What it does:

❓ Takes questions about historical event causes and compares answers with reference data

⚙️ Runs via a parallel evaluation trigger alongside your regular chat trigger

🧠 Uses AI to calculate a correctness metric that measures meaning equivalence

📊 Sends detailed evaluation scores back to n8n for monitoring and improvement

💰 Smartly skips scoring during normal runs to keep costs down

✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.