Shipping AI across the full stack

SECTION // TWO RUNTIMES, ONE PRODUCT

AI services often live in Python while the product surface lives in TypeScript. The seam between them needs explicit contracts, validation, observability, and predictable failure states.

SECTION // MAKE USAGE VISIBLE

Usage metering, credits, subscriptions, and rate limits are not afterthoughts for AI products. They are part of the platform contract and should be designed alongside the feature.

SECTION // THE ENGINEERING LESSON

Shipping AI means owning the boring edges: APIs, authentication, billing, retries, interfaces, and deployment. That is where a prototype becomes a product.