I built a multi-turn agent-vs-agent blind eval in n8n

1. 1Build a multi-turn conversation flow in n8n to simulate real-world interactions
2. 2Configure agents to interact with each other in a blind evaluation setting
3. 3Test the evaluation setup using sample prompts and agents
4. 4Apply the evaluation results to identify and address failure modes in AI models
5. 5Compare the performance of different AI models using the multi-turn evaluation framework

AI engineers and researchers can benefit from this approach to evaluate their models' performance in realistic settings, while DevOps teams can use n8n to automate the evaluation process

💡 Single-prompt evaluations are insufficient for testing AI models' performance in production, and multi-turn evaluations can reveal critical failure modes

🤖 Evaluate AI models like never before! Build a multi-turn agent-vs-agent blind eval in n8n to test robustness in production-like scenarios 💡