Dignitas recently won a SBIR Phase I effort to research and develop Flexible and Live Adaptive Training Tools (FLATT).  The objective is to provide a simple, generalized mechanism for trainers to adapt an on-going training exercise based on the real-time learner state.  FLATT will provide researchers and trainers an easy-to-use toolset to capture and visualize information on a learner’s state, and then act on that data to adapt the training in real-time.  Our approach builds FLATT within an existing domain-agnostic framework that can be applied to a wide variety of training instances.