The Model Doesn't Matter. The Harness Does.

The content argues that the "harness" or "scaffolding" around AI models, rather than the core model itself, is the primary driver of real-world agent performance. It highlights that different agent frameworks, even using the same model, can show significant score variations on benchmarks.