How mature is your team's practice of writing and running automated evaluations for AI outputs?

Do AI outputs stay consistent across similar inputs and remain factually correct?

Does the system perform reliably over time and match its intended purpose?

Is communication appropriate and is the system protected from adversarial manipulation?

Does your team manage what information AI agents access — right info, right scope, right time?

Does your team follow Plan-Code-Verify discipline and define success before building?