The Model Is Not The Product

Most AI product failures stem from flaws in the "harness"—the surrounding software that manages context, tools, and verification—rather than limitations in the model's intelligence itself. As models become more capable, the need for robust "harness engineering" increases to manage essential boundaries like permissions, governance, and observability. Ultimately, developers must focus on this surrounding system to transform raw model capabilities into reliable, usable product behavior.