When software makes decisions, the interface has to earn trust. Patterns for transparency and control.
AI features fail in the UI more often than in the model. Users need to understand what the system did, why, and how to override it.
At NOYT India we build these systems in production — with evaluation, cost control, and observability baked in from day one. Below we share the patterns that have held up under real traffic, the trade-offs we weigh, and the mistakes worth avoiding.
If you're planning something similar, the short version is: start from the bottleneck, instrument everything, and ship in small, reversible steps.