AI Product Design Lab
Four explorations in trustworthy AI — designing systems people can steer before they generate, ground in real sources, oversee while they act, and hold accountable for what they remember. Each ships as an interactive, themeable prototype.
Steer
Under-specified prompts produce confidently wrong output. Steer surfaces the assumptions and ambiguity in a request so people can correct course before the model commits.
View exploration
Ground
Fluent text hides hallucination. Ground makes every claim traceable to a source — with confidence and freshness — flags what can’t be verified, and shows where sources disagree.
View exploration
Oversee
Autonomous agents act faster than people can supervise. Oversee scopes what an agent may do, previews actions via dry-run, keeps interruption first-class, and makes reversible work undoable.
View exploration
Recall
Personalization quietly accumulates in the dark. Recall lets people see what an AI remembers, where each memory came from, and edit, scope, or revoke it on demand.
View exploration