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
Boundary
Boundary & edge-case testing
Push inputs to limits — very long contexts, token boundaries, empty/extreme values — where behavior tends to degrade sharply.
EstablishedEvalsContext window
BoundaryNeedle-in-a-haystack (long-context retrieval)
Plant a specific fact at varying depths in a long context and test whether the model can retrieve it from each position.
EstablishedRAGContext window