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The convergence of cyber-physical systems, expansive internet growth, and intensified human-device interactions have led to exponential data consumption, resulting in information overload within society. This research addresses this information overload and its impact on digital wellbeing through development of an augmented reality (AR) tool, aiming to facilitate personalized data-driven introspection and enhance the utility of consumed information. By merging digital and physical realms, the tool facilitates tangible data exploration, transforming complex information into understandable interactions. It extracts and categorizes user browsing history data by domains, days, and time and leverages OpenAI's LLM GPT model to categorize the consumed digital content. Developed with Unity, the AR tool visualizes the data in layers in users' environments, promoting active personalized data sense-making. This research introduces an approach to data presentation that promotes information literacy and envisions an empowered society having a holistic, informed relationship with technology where users seamlessly interact with their digital presence.