To demonstrate the usage of our software, we present a minimal code example in which the GPPlanner (Gaussian Process Planner) from Atlas is used to minimize the Branin-Hoo surface, 93 f : X ∈ R 2 → R. "Ask-tell" experimentation proceeds iteratively by generating parameters to be measured using the planner's recommend() method, and informing the Olympus Campaign instance about the corresponding measurement using its add observation() method. We opt to use a flexible "ask-tell" interface to remain application-agnostic, as well as allow for analysis and customization of the optimization loops. Measurement steps usually involve calls to specialized robotic laboratory equipment or computational simulation packages, which can be fully customized by the user. Figure visualizes the results of this simple example. The num init design argument to the GPPlanner constructor defines the number of parameters to recommend in the initial design phase. This value defaults to 5 and will not be listed as an argument