Approval Gate Design for Controlling AI Agent Autonomy in TypeScript
A developer explains that an AI agent with a destructive tool can act on a loosely worded prompt, because the missing piece is a rule governing when a tool may run. The author proposes a five-level autonomy scale, from no tools to full autonomy, which is enforced in code rather than set by the model. Autonomy is assigned per tool according to risk: read-only, reversible writes, or irreversible actions such as deleting data. A flowchart and a TypeScript example show how a decision function either runs a tool, asks a human for approval, or refuses it. The post notes that no standard defines these levels and presents the scale as the author's own working framework.
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