Originally published on AI Tech Connect.
Why evaluation is the craft skill most builders skip There is a common arc in LLM application development. A builder spends two weeks getting the first working demo. The prompt is tuned by eye, a few awkward examples get smoothed over, and the system goes live feeling good. Then — nothing bad happens immediately. The application works. Users seem roughly satisfied. And so the next two weeks go into shipping new features, not measuring the existing ones. This pattern holds until one of three things breaks the spell. A model upgrade changes subtle behaviour. A prompt change intended to fix one edge case introduces a regression elsewhere. Or the application scales to enough users that the tail of bad outputs, invisible in testing, becomes a daily customer complaint. At that point the builder…
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