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When Faster Decisions Do Not Make Better Agents: An Empirical Study of Jev in Agent Workflows
AI agents depend on repeated decisions to accomplish tasks, with large language models (LLMs) commonly serving as their core decision makers. The recent emergence of Jev offers an opportunity to make these decisions faster and at lower cost. However, it remains unclear whether such local savings can
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