This report describes efforts conducted by researchers in the Content Understanding Branch in fiscal year 2023 to employ the Enhanced Tactical Inferencing (ETI) framework. ETI was developed to support experimentation and demonstration of artificial reasoning research in a multi-agent environment (data source agents, reasoning model agents, and decision maker agents). In this report, ETI is used to demonstrate an uncertainty-based decision recommendation capability within a cross-reality environment. Beginning with data from a simulated scenario plus additional external context, ETI agents reason over the uncertainty in information informing situational awareness to provide decision makers a recommended choice. Finally, the products of ETI are transformed into a cross-reality visualization to explore new modalities of human interaction.