Shipping AI Features Your Users Can Actually Trust

Most AI prototypes dazzle in a demo and crumble in production. The gap is almost never the model — it's the engineering discipline around it.

In this piece we break down the three practices we apply to every AI feature we ship: retrieval grounding so answers cite real sources, continuous evals so quality never silently regresses, and human-in-the-loop controls so the system proposes while a person decides.

Done well, these turn a flashy demo into a dependable product your users — and your auditors — can trust.