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From Agent Capability to Operating Discipline: Building Repeatable AI Workflows

AI Agent 운영으로의 전환: 데모를 넘어 반복 가능한 워크플로우 구축

Why it matters

As AI agents move from prototype to production, engineering teams face new operational challenges. DevCon Day 2 emphasizes that agent quality cannot be measured by output alone—workflow trajectory, context completeness, and policy compliance are equally critical. Organizations adopting agent-driven workflows must integrate external systems and establish clearer governance, transforming ad-hoc agent use into disciplined, measurable engineering practice.

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Agent workflowsContext integrationOperating modelsPerformance metricsEngineering discipline

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