AIResearchHardware
Six Agent Harness Capabilities for Higher Model Performance
Building an effective AI agent requires more than selecting the right models; the surrounding harness architecture significantly impacts outcomes, including benchmark results and token costs.
Building a great AI agent isn’t just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes actions, manages state, and decides when a task is done shapes outcomes just as much as the model itself. Harness design alone can account for double-digit swings in benchmark results and significant differences in token cost. This highlights the importance of harness design in AI agent development, beyond model selection alone.