Agentic interfaces are shifting the traditional designer's role from solely managing user input to orchestrating AI system behavior. Historically, interfaces served as command centers for human users to instruct software. However, AI agents now interpret intentions and take actions without explicit step-by-step commands. This introduces challenges in understanding system comprehension, actions, and changes.The blank prompt problem highlights the difficulty of AI interfaces when system capabilities are obscured by language. Users must already know what to ask, burdening exploration onto them. Good interface design principles, like affordances and visibility of system status, are becoming crucial again to guide users. Nielsen's heuristics offer a framework for understanding the new human-agent relationship.Agentic canvases, like Miro's, aggregate context from various tools and allow AI to act upon it spatially. Designers are now orchestrating workflows and deciding when AI needs human input. Figma's approach also integrates AI agents directly onto the canvas, enabling more dynamic design processes.Furthermore, agents are evolving to actively seek necessary context, as exemplified by Gemini's video understanding. This means the system is no longer passive but can autonomously retrieve relevant information. Attention is becoming a key design problem, with designers needing to consider both system attention and what the system directs human attention towards.The core shift is in designing the distribution of responsibility between humans and systems. Designers are now defining the policies and constraints that govern AI behavior, not just the user-facing screens. This includes determining what agents can do independently, when they require confirmation, and which decisions remain human-centric. The designer's role is expanding to shape the underlying rules and assumptions that dictate system operation. Ultimately, taste and judgment are vital for guiding AI-generated possibilities and deciding the appropriate division of agency in producing outcomes.