In this talk, we will present Scout, a tool where a novel approach to GUI testing is demonstrated, which allows the user to record scriptless test scenarios to a model-based data-structure from which test cases can be replayed either manually or automatically through the tested application’s GUI. The approach takes inspiration from augmented reality and basically renders a head-up display on top of the SUT GUI to provide the tester with testing information. However, in addition to showing previously recorded test scenarios and test data, the tool also uses machine-learning algorithms to find patterns in recorded data to provide the tester with suggestions of test improvements. Thus, merging technologies from record and replay, model-based testing, semi-automated testing and machine-learning into one approach.