Agent Success Hinges on Model Placement, Not Raw Performance

Most agent products fail not because models lack intelligence, but because frontier models are placed inefficiently throughout entire workflows, causing cost and latency collapse at scale. The critical shift for 2026 is deploying stochastic models only at high-stakes, high-uncertainty decision points while letting deterministic systems handle routine tasks—transforming how agent builders architect production systems.