With the convergence of technologies in artificial intelligence, human-computer interfaces, and pervasive computing, the idea of a “smart environment” is becoming a reality. While we all would like the benefits of an environment that automates many of our daily tasks, a smart environment that makes the wrong decisions can quickly becoming annoying. In this paper, we describe a simulation tool that can be used to visualize activity data in a smart home, play through proposed automation schemes, and ultimately provide guidance to automating the smart environment. We describe how automation policies can adapt to resident feedback, and demonstrate the ideas in the context of the MavHome smart home.