What is AI evaluation (evals)?
AI evaluation, often called evals, is the practice of systematically testing an AI system against a defined set of inputs and expected outcomes to measure accuracy, safety and consistency. It combines automated scoring, comparison with reference answers and human review, and is repeated whenever prompts, models or data change.
Why it matters for your business
Evals give you evidence that an AI feature works before launch and catch regressions after changes, turning model choices and prompt edits into measurable decisions rather than guesses.
Before switching models, a team runs a few hundred real support questions through both versions and compares answer accuracy and tone scores side by side.