Developer Embeds Ethical Philosophy Into AI Agent Instructions to Shape Its Character

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A developer working on a research project called Algebraic Architecture Theory (AAT) has published an experiment in which a detailed philosophical framework was written directly into an AGENTS.md file to guide an AI agent's behavior. The framework centers on a single governing principle — speaking about software in terms that can be verified and defended — from which a set of operational vows is derived. These vows instruct the agent to prioritize rigor over output volume, distinguish between proof and hypothesis, and remain silent on claims it cannot substantiate. The experiment raises a broader question about how AI agents are evaluated, arguing that character and judgment matter alongside raw capability. The author contends that as AI agents take on more collaborative roles, the values embedded in their instructions deserve as much attention as benchmark performance.

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