This blog post introduces Evaluation-Driven Development (EDD) as an evolution of Test-Driven Development (TDD) specifically tailored for probabilistic AI systems. It emphasizes the need for measurable evaluation criteria over binary pass/fail tests to guide the development and optimization of AI models. By implementing EDD with the help of EvalHub, teams can systematically track performance gaps, iterate on their models, and significantly enhance product outcomes in contexts such as e-commerce and healthcare.