Nimble | AI Engineers Radar

Observability and evals boom — dynamic benches, meta-harnesses, and runtime graders

Observability and evals boom — dynamic benches, meta-harnesses, and runtime graders

Evaluation is widening to trajectories, tool use, authoritative-state verification, recovery, and robustness. The RAG Compositionality study reports that component wins may not compose and rankings can shift with corpus size, reinforcing end-to-end evaluation; observability product claims and self-evolving harness listings remain insufficient evidence of efficacy.

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Updated Oct 23, 2026
Observability and evals boom — dynamic benches, meta-harnesses, and runtime graders - Nimble | AI Engineers Radar | NBot | nbot.ai