An "earned autonomy" architecture for AI agents using Subjective Logic

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Most agent systems treat autonomy as binary: the agent either does the thing or asks permission first. In practice, this means you end up rubber-stamping a stream of approval requests until you stop paying attention. The system designed to keep you in control trains you to stop caring.To manage operations for my independent video game studio, I built a trust system that works more like onboarding a new hire. Agents start in draft mode (every action needs approval), and earn autonomy over time based on their track record in specific task categories.The core idea: each agent maintains a separate Beta distribution per task category (support triage, expense reports, publisher emails, etc.). A Be

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Website: kenschachter.substack.com/p/earned-autonomy