With the rise of AI in many disciplines and the proliferation of chatbots in many applications, various chatbots need training to properly respond to human users. In this presentation, I report on a chatbot training interface that I developed named CUS, the Chatbot Update System. CUS was developed for use with a cybersecurity playable case study that immerses users in an experience like unto working in a cybersecurity firm. A chatbot plays the users’ coworkers in the simulation, and the chatbot needs training to recognize the meaning of various user inputs. CUS successfully provided a convenient and efficient way to provide appropriate responses to user input. With this presentation, I show the most recent version of CUS, which includes new features: gamified elements, small sets of corrections, a mobile-friendly interface, and an arbitration feature.