Completing complex tasks with language-model agents requires more than a single prompt. The agent must plan, execute, and review its work so that the final result actually addresses the user's original objective. A new paper on arXiv, titled "Design and Cross-Domain Evaluation of an Agent Execution Harness," takes on this coordination problem.
The authors present an agent execution harness that keeps the original objective central throughout the process. Rather than treating planning, execution, and review as separate steps, the harness ties them together, aiming to ensure the agent's output stays aligned with what the user asked for.
The paper includes a cross-domain evaluation, meaning the harness is tested across different types of tasks or domains. The abstract does not give specific results, but the design and evaluation approach are the focus of the work.