Harness Engineering in Logistics: Why Better Models Aren’t Enough

Harness Engineering in Logistics — Part 2 of 6
When an AI system produces a poor result, the natural response is to blame the model. Change the prompt. Add more context. Move to the newest model. Increase the reasoning budget. Those interventions can improve performance, but they can also hide a more important problem: many logistics AI failures are not model failures at all.
They are system failures. The model may reason correctly while receiving the wrong data, operating with incomplete