Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents
Mid-Harness investigates scaling actions by inserting a sampling and verification step between a model's action generation and execution. The study found that verification quality is crucial: strong pairwise comparison of candidate actions yields the most benefit. This method allows for more reliable terminal agent behavior, proving that targeted test-time compute scaling is effective.