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Feedback-driven Evolution

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Data Party THU
Data Party THU
Aug 2, 2026 · Artificial Intelligence

Real-World Feedback Powers Continuous Evolution of AI Agent Skills

The article outlines a three‑layer Skill architecture for AI agents—routing, instruction, and resources—and shows how systematic user feedback can be abstracted into rule updates at each layer, illustrated with a travel‑planner example, quality checks, resource‑layer extensions, skill compaction, and validation before release.

AI AgentFeedback-driven EvolutionPrompt Engineering
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Real-World Feedback Powers Continuous Evolution of AI Agent Skills