Ambient AI: This is composed of simulated characters operating around the training area. Some of these characters can be interacted with but mostly are in the area for visuals and realism. Some examples of this would include pedestrians around a construction site, workers in a warehouse, cars or other vehicles driving through or around the area, and other non-vital characters.Vital AI: These are AI characters that are part of the learning experience. They can be simulated job leads within the training area that the user gets instruction from, or they can be other workers in the area that can be interacted with. Some examples of vital AI are workers not wearing proper PPE and must be identified, helpers working that give vital information to the user, a vehicle following user hand and arm signals on a construction site in order to safely navigate the landscape, and other workers that can help in a procedure. Both ambient and vital AI types can be utilized in ways to best organizational training needs and should always be used when possible. Furthermore, these types of AI, including their interactions, are highly customizable.Learning AI: This type of AI is not seen within training scenarios. Instead, this AI collects data from the user in real-time and modifies the scenario to best fit the user’s experience. This AI will adjust difficulty levels based on user performance and could even dispatch vital and ambient AI throughout the experience. Do not worry, this AI is not concerned with world destruction. Instead, it can be seen more as a coach that wants its users to push themselves to the max!Backend AI: This type of AI is run on our servers and is used for data analytics and other tasks related to giving trainers the most usable, functional, and relevant data needed for better decision making.