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Discusses the three-layer challenge of obtaining human approval for autonomous AI agents that take real-world actions, highlighting safety and alignment issues.
The article argues that AI coding should use specialized agents in loops with bounded retry and human approval, rather than a single super-agent, emphasizing workflow engineering over agent intelligence.
Developer introduces Impri, an open-core human approval inbox for AI agents that prevents unauthorized actions by enforcing structural gates instead of prompt instructions.
The article discusses the challenge of determining which AI agent actions require human approval, citing a $27M unauthorized transfer in January 2026, and proposes a framework based on reversibility and impact.
OrchestraML is a tool that converts English prompts into deployed ML models with human approval, streamlining model deployment.