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This article outlines a method for creating high-accuracy agentic systems by focusing on the job to be done (JTBD). It emphasizes designing task-oriented tools, ensuring verifiable outcomes, and using feedback for continuous improvement. The process aims to transform execution attempts into reliable, learning systems.