Distributional is an adaptive testing solution for enterprise AI applications, built to help teams define, detect, understand, and improve upon an application’s desired behavior. To enable this, Distributional’s user experience was designed to translate the complexity of GenAI application logs and traces into coherent insights, giving teams rich information to act on. By providing several opportunities to customize the experience, Distributional can be tailored to an individual team or app’s specific needs.
This guide was written to help AI teams—including AI-enabled app developers, technical AI product managers, and AI engineering teams—get up to speed with Distributional’s user experience, so they can jump in and get a better understanding of the app behavior. In this paper, we share an overview of the core workflow and reference how it relates to real use cases, detail the customization options available in Distributional, and explain how teams can get more concrete on change within their applications.
