Qlarify Labs
Evals
How we evaluate AI systems to find their limits. Each entry is a repeatable testing technique — the durable knowledge, independent of any one model or version.
2 methods
Other
Guardrail & moderation-layer testing
Treat the safety filters around the model as their own system under test — measuring bypass rate on unsafe inputs, false-positive cost on benign ones, and what happens when the guardrail itself fails.
EmergingRefusalSafetyRobustness
BoundaryThreshold testing
Walk inputs across a decision boundary — refusal, classification, confidence cutoff — to find exactly where the model's behaviour flips, and whether it flips in the right place.
EmergingRefusalRobustness