AI productivity is best measured by connecting AI usage to validated downstream outcomes. Tokens, prompts, and generated lines show activity, but they do not prove value. A better measurement model tracks the cost of AI work, scores the quality and task success of that work, then joins each trace to outcomes such as merged PRs,…