Decide whether a new model is actually better by putting it through a real day of work with your highest-taste engineers and asking whether the code is something they would keep, rather than trusting a benchmark score. Use when a model aces a benchmark but you are unsure it will hold up in practice, when building an anti-slop internal benchmark, when a score jump needs corroboration, or when a team keeps arguing for weeks about whether a release is an improvement.
