Eval-Driven Development with Jev
The practical guide to Agent Evals, Jev-as-a-Judge, and making Claude, GPT-6 and AI automations more reliable.

TL;DR
- AI models can produce different results even with identical instructions and the same model.
- The reliability of AI agents is becoming more important as they perform tasks like using tools, changing files, and making decisions.
- Agent Evals is a method for testing AI agents, finding errors, and verifying improvements.
- New AI models like Jev can assist in the evaluation process at a low cost.
- The article promises a guide on how to test AI workflows, build evaluation systems, use Jev, measure reliability, and improve agents through repeated testing.