Permission Design Emerges as the Critical UX Challenge for AI Agents
The article outlines concrete UX patterns for controlling, consent, and accountability in agentic AI, emphasizing that proper permission design—pre‑action intent preview, in‑action rationale, post‑action audit—is essential to earn trust as agents gain autonomy. It shows why this design problem will shape the next wave of AI product adoption.