An eval is a test that measures how well a model or prompt performs on a defined task.
Evals turn a vague sense that something is better into measurable scores, so you can compare prompts, models, and versions objectively. They range from exact-match checks to graded rubrics. Systematic evals are what separate hobby projects from production AI.