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agentic Resources

Agent Experience (AX) Design Patterns
New design discipline emerging around Agent Experience (AX): preview patterns, override controls, and autonomy balance. Frames agents as 'unsupervised interns' — high-potential, high-risk collaborators that require thoughtful oversight interfaces.

Agentic AI Design Discipline
New design discipline: architecting transparent agent reasoning and multi-turn interactions. Designers now shape how AI agents communicate decisions, handle errors, and maintain user trust.

Delegative UI & Agentic Product Design
UX paradigm shift from 'click this' to 'tell the system your goal.' Design systems evolve to include oversight interfaces, behavior policies, and exception handling as first-class concerns — requiring a complete rethinking of interaction patterns.
From Doers to Directors — Agentic Workflows and the Supervision Paradigm
Products are shifting from 'user executes tasks' to 'user supervises AI agents.' This requires entirely new UX patterns: confidence levels, decision logic visibility, and human override points. Design moves from task flows to orchestration interfaces — trust and observability become the new UX primitives.
From Products to Systems: The Agentic AI Shift
The philosophical foundation for design in the agentic era: the discipline moves from designing fixed UIs to designing generative, adaptive systems that agents produce. AX (Agent Experience) becomes the core design discipline — designers now design the systems that design the outputs.

Preview Over Undo — Designing for Agentic Systems
Agentic errors carry higher stakes than chatbot errors — you can't undo a booking or data mutation. The shift from undo-after to preview-before is now a first-class design pattern for any agent-driven product surface.

Preview-Before-Action: Trustworthy Agent Design
Core principle for responsible agentic product design: always preview before execute. Treating agents as unsupervised interns — managing risk through transparency and human checkpoints. Foundational pattern for trust in agentic systems.
