How to evaluate AI agents, avoid reward hacking, and build better specs

The article explains that agent evals are repeatable tests that score whether AI agents completed a task correctly. It covers designing rubrics and test suites while preventing agents from taking shortcuts instead of achieving genuine user outcomes.