Case→reward→train harness: baseline, fine-tune or RL, before/after — with gonogo as the decision layer.
Decide whether an agent is good enough to ship. Honest statistics for pilot-scale case sets.
Model routing with a verified-success flywheel: classify tasks, measure arms, feed results back
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