Imagine having a super-intelligent assistant by your side in the virtual world, anticipating your needs and boosting your productivity. That’s the promise of EmBARDiment, a cutting-edge AI agent designed for extended reality (XR) environments. Unlike typical chatbots that rely on explicit text or voice commands, EmBARDiment understands your intentions implicitly by tracking your eye movements and actions. It's like having a mind-reading assistant that knows what you need before you even ask. EmBARDiment uses a clever attention framework, analyzing your gaze patterns to capture the context of your work. This information is combined with a contextual memory that remembers what you've focused on, creating a shared understanding between you and your AI partner. The result? Seamless, intuitive interactions that feel natural and require minimal effort. If you're working on multiple documents in a virtual workspace, for instance, EmBARDiment can understand your questions by simply observing which document you're looking at, eliminating the need for complicated prompts. A recent user study demonstrated that this approach significantly reduces the time it takes to receive relevant responses from the AI. The research is focused on enhancing XR user experiences, specifically in multi-window environments and with productivity. With eye-tracking technology used as a method of contextual information gathering. It improves user interactions with AI agents and simplifies task completion. Participants responded more favorably to human-like or visually represented agents and found that those who were able to follow the context of tasks by following the user's eye improved efficiency and understanding. The researchers acknowledge that they have focused on AI assistance that aligns with the user's current attention but are planning on expanding their research and development to look at contexts outside of the user's immediate focus. While EmBARDiment focuses on aligning its attention with yours, the team is already exploring scenarios where the AI might offer proactive suggestions by looking at information you haven't yet seen. This opens up exciting possibilities for even more seamless integration and anticipatory assistance, shaping the future of work in XR environments. As AI continues to evolve, we can expect even more intuitive and intelligent assistance in XR. EmBARDiment offers a glimpse into this future, showcasing how AI can move beyond explicit commands to a more natural, implicit form of interaction.