Interaction Readiness: A Framework for Evaluating AI Agents in Human Roles

A new framework called Interaction Readiness has been introduced to bridge the gap in assessing AI agents designed for human roles. This framework, detailed in a paper on arXiv (2608.12358), makes a clear distinction between content and interaction specifications. Before deployment, teams need to define the purpose of the role, authority boundaries, common scenarios, edge cases, repair actions, and audit criteria. Interaction readiness is achieved through four key operations: understanding the purpose, calibrating authority, managing tone, and resolving issues. The framework's success is highlighted using StudyChat, a public dataset showcasing student interactions with an AI tutor. The goal is to ensure AI agents produce accurate and safe content while meeting the expected behavioral standards of their roles.