Learn · Guide · For teams

The AI App Blueprint

How we take an AI-powered application from idea to production: evals, guardrails, cost ceilings, and a clean handover.

The short version

A demo proves an AI feature can work once. Production proves it works every time, safely, for a year. This blueprint is the gap, and how to close it. It covers the eval harness that catches regressions, the guardrails that constrain what a model can do, the cost ceilings that keep spend predictable, and the handover checklist that leaves your team owning the code. The full blueprint and the production-readiness checklist are inside the PDF.

Put it to work

From this guide to done

Read it, try it on real work, and make it yours.