AINeutralarXiv – CS AI · 7h ago6/10
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Learning to Construct Practical Agentic Systems
Researchers propose a practical framework for building LLM-based agentic systems that prioritizes simplicity, cost predictability, and controllability over maximum optimization. The framework uses modular "pseudo-tools" and fixed workflows, demonstrating that hand-engineered agents often outperform dynamically-planned systems in production environments.