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EvoSkill v2 enables AI agents to self-improve without retraining by using persistent skills stored in files, with a coach agent writing lessons from failed tasks, leading to significant performance gains in tasks like spreadsheet repair.
The article discusses how persistent skills in AI agents, as implemented in SentientAGI's EvoSkill v2, can change future behavior by acting as executable state, necessitating versioning and testing similar to code to prevent failure modes.