Designing AI features people actually trust
Citations, guardrails, and honest uncertainty. A practical playbook for shipping AI you can defend.
An AI feature that is confidently wrong is worse than no feature at all. Trust is a design problem as much as a model problem.
Cite everything
Every answer our systems produce links back to its source. Users can verify, and the system is accountable.
Design for uncertainty
Models are probabilistic; pretending otherwise erodes trust. We design interfaces that show confidence honestly and fail gracefully.
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