When the cost of a wrong answer is high, a workflow gives Claude independent attempts at the problem and adversarial agents working to break the result before you see it.
Adversarial self-verification is a significant architectural step beyond standard code review. Having agents actively attempt to falsify results before surfacing them mirrors formal verification approaches — but applied dynamically to any engineering problem. This could shift AI coding from 'trust then verify' to 'verify then deliver.'