Make Uncertainty Visible Before Users Overtrust

The idea Google PAIR People + AI Guidebook gives LLM app teams a disciplined way to design beyond a clever prompt. Calibrated trust means users can rely on the system when evidence is strong and slow down when context is weak. LLM fluency makes that calibration a design responsibility. In ordinary software, users can often infer system behavior from stable controls. In LLM products, the same button may produce variable text, incomplete reasoning, or a tool action whose risk depends on context. That means the product must make intent, evidence, limits, and recovery visible. The mechanism is simple: name the…

Sign up free — one personalized lesson every day, matched to your role and goals.

Already have an account? Sign in