AI/ML10 min read · May 2026
Shipping Production AI: Accuracy, Cost, and Latency Budgets
If you can't measure your AI feature's accuracy, cost, and latency, you're not ready to ship it.
By Engineering Team
A demo that works once is not a feature. Production AI needs budgets — explicit targets for accuracy, cost per request, and latency — measured on every release.
Build an evaluation harness first
Before shipping, we build a harness with real data and track accuracy on every change. It turns 'it feels better' into a number we can defend.
Budget cost and latency
Every AI call has a price and a wait. We set ceilings, cache aggressively, and right-size models so quality and economics both hold up at scale.
The takeaway
Treat AI like any other system: measured, budgeted, and observable. That's the difference between a prototype and a product.