Abstract
Tool-using AI agents are increasingly used in coding, browser automation, research assistance, and support workflows. In practice, however, many teams still evaluate these systems through isolated prompts, one-off demos, or broad benchmark references that do not translate well into deployment judgment.
This paper presents a lightweight workflow for evaluating agent behavior that begins with scenario design, continues through explicit expected behavior and failure-mode definition, and ends with an operational scorecard that helps teams judge rollout readiness.
