AI Product Engineering

Methodology

The four engineering principles that make fixed-price AI production possible.

Evals before features

Why writing the test suite before the prompt is non-negotiable in production AI. The principle that makes fixed-price engagements honest.

3 more articles

The instrumentation pattern that prevents "the model is wrong" debates. How PRIONATION monitors production AI from the first deployment.

Why clients hold the code, hosting, data, and models at the end of every PRIONATION engagement. The case against AI vendor lock-in.

How 2–3 engineers and an 8-week clock make fixed-price AI delivery possible. The commercial-engineering link explained.

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