Pimsy LLM

Evaluations Overview

Conceptual

Measuring agent quality with outcomes rather than impressions.

An agent that looks good in a demo and fails in production is the normal case. Evaluation is how you tell the difference before your users do.

What to measure#

DimensionQuestionSignal
Task successDid it achieve the objective?Verified completion criteria
CorrectnessAre the outputs actually right?Ground-truth comparison
FaithfulnessAre claims supported by cited evidence?Citation verification
EfficiencyWhat did it cost?Steps, tool calls, tokens, wall clock
SafetyDid it respect boundaries?Policy denials, approval compliance
CalibrationIs stated confidence honest?Confidence vs. observed accuracy
RecoverabilityDoes it handle failure well?Behaviour under injected faults
BenchmarksStandard suites and their limits.Custom EvalsSuites built from your own work.ObservabilityProduction telemetry.

Last updated 2026-09-11