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The author demonstrates how to build a recursive auto-improvement loop for AI agents: a coding agent mines usage data to create probes, runs them against a live agent, and updates the agent's instructions and tools until all probes pass. The walkthrough uses the Agno/AgentOS platform and the Radar agent as an example.