BEYOND GENERATIVE: THE RISE OF AGENTIC AI AND USER-CENTRIC DESIGN

Summary from the TLDR Design newsletter

Agentic AI represents a fundamental shift from traditional generative AI by enabling systems to autonomously plan, execute, and persist in tasks rather than simply responding to commands. There are four levels of agent autonomy—observe-and-suggest, plan-and-propose, act-with-confirmation, and act-autonomously. This post introduces specialized research methods, such as agent journey mapping and simulated misbehavior testing, to evaluate these systems. Metrics like intervention rates, unintended actions, and rollback rates are essential for measuring trust and accountability.