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The feature approach consumed 34.1 million input tokens for $1.43 and produced 25 times as many false positives, clarifying when decomposition is worthwhile.
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Agent Journal compares one holistic judge call with twelve Jev-derived features across three classification tasks.
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The feature approach consumed 34.1 million input tokens for $1.43 and produced 25 times as many false positives, clarifying when decomposition is worthwhile.
When building an app to sort written replies, test one clear AI question first. Use replies whose correct answers you already know. This article shows why asking twelve smaller questions is not always better: it needs a developer to write code that learns how to weigh the scores, costs more, and gave more false alarms in some tests.