Evaluation

Evaluating AI systems beyond accuracy

Accuracy on a static set says little about an operational system. What we measure instead: task completion, escalation quality, latency, drift and cost.

Argbit EngineeringEngineering team2026-04-3010 min read

Accuracy answers the wrong question

Operational stakeholders do not ask whether the model was right. They ask whether the work got done, how often a human had to intervene, how long it took and what it cost.

The evaluation surface we build

A production evaluation harness usually covers five dimensions.

  • Task completion against a business-defined outcome.
  • Escalation quality — did it stop when it should have stopped?
  • Latency distribution, not averages.
  • Behavioural drift across model and prompt versions.
  • Cost per completed unit of work.
References
  • Argbit Eval design notes Argbit Labs

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