Capability ≠ Permission: a five-principle framework for AI agent autonomy
AiVentureRO · reddit · 2026-10-20
AiVenture's team argues production AI agents need a fundamental architectural distinction: technical capability doesn't imply authorization. They propose a five-principle model — Discovery (agents find available services), Capability (services expose what agents can do), Authorization (execution requires explicit permissions and boundaries), Human-in-the-loop (high-impact decisions stay human), and Verification (actions produce independently checkable evidence) — summed up as "No rule → No autonomy." They ask developers three open questions: where to draw the autonomous-execution boundary, how to verify agents acted within authorization, and whether verifiable execution evidence should become a standard part of agent-to-agent protocols, seeking real production implementations over demos.
Related event: Five Principles for Agent Autonomy: Capability Does Not Equal Permission(2 posts)→
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