Evaluation is often treated as a final technical checkpoint. In AI products, it is one of the earliest and most important acts of design.
The rubric tells the team what good looks like. If the rubric only rewards factual correctness, the product may still be confusing, poorly timed, or impossible to trust.
Measure the whole experience
Pair model-level checks with human experience measures: Was the answer useful now? Did it explain its uncertainty? Could the user recover when it was wrong?
The best evaluation systems make the product team more perceptive, not merely more certain.
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