A personal benchmark is a test built from your actual work and your judgment about what good looks like. Each time you correct an AI, that correction can become a new case and check automatically. Over time, those cases create a living measure of which model works best for you—not in the abstract, but for the work you actually do—and let you know when a better or cheaper one comes along.