A personal benchmark is a reference check for AI. Instead of testing models on generic questions, it tests them on work you’ve actually done and scores them against checks drawn from your own judgment and corrections. Over time, it becomes a living record of what “good” means to you—one that can tell you which model is best for each kind of work, and when a new one can do it better or cheaper.