Capability ≠ Permission: A Five-Principle Framework for AI Agent Autonomy Boundaries
AiVentureRO · reddit · 2026-10-20
A Reddit discussion on production agent architecture argues for a key distinction: capability ≠ permission — an agent being technically able to execute an action doesn't mean it should be authorized to. The author's team at AiVenture proposes a five-principle model:
- Discovery: agents can discover available business services
- Capability: each service declares what the agent can actually do
- Authorization: execution requires explicit permissions and boundaries
- Human-in-the-loop: high-impact decisions stay under human control
- Verification: actions produce independently checkable evidence
Guiding rule: "no rule → no autonomy." The author asks developers where they draw the line between autonomous execution and human approval, 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, not demos.
Related event: Five Principles for Agent Autonomy: Capability Does Not Equal Permission(2 posts)→
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