AI 101

Agent eval

Also known as: agent evaluation · evals (agents)

Agents

Agent evals systematically measure whether an agent completes its tasks — using test tasks, success criteria, and repeatable runs.

  • A set of realistic tasks with defined success.
  • Run the agent; check outcomes, not just outputs.
  • Track success rate and cost over time.

The shift from chat evals: for an agent, the right question isn't "did it say the right thing" but "did it *do* the right thing, and did it finish?" Evals must check the end state.