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

Agent evals are repeatable tests that score whether AI agents completed a task correctly. Learn how to design rubrics, test suites, and trace-based evals that catch failures and prevent reward hacking. The post How to evaluate AI agents, avoid reward hacking, and build better specs appeared first on Arize AI.

Source: Arize AI | 2026-07-02