On building measurable LLM systems

Production LLM systems should be measurable in the same way any serious software system is measurable: latency, reliability, failure modes, and decision quality all need explicit visibility.

The mistake many teams make is stopping at prompt quality and demo fluency. In production, that is not enough. You need observable workflows, clear boundaries between model behavior and system behavior, and a way to tell whether the system is improving or drifting.

For me, “measurable” means at least three things:

1. the workflow is explicit,
2. failures are inspectable,
3. improvements can be tested rather than guessed.

That usually leads to evals, tracing, regression checks, and a tighter relationship between product goals and system design.