okrs

When a measure becomes a target, teams tune to it. Take eval scores out of targets, keep a sealed holdout teams cannot tune against, separate capability from regression evals, and tie OKRs to user outcomes.

First AI features have unknown quality and cost. Write OKRs that reward learning and a measured launch, and keep out key results the team cannot honestly commit to.