The original title is "AI Agent Autonomy Levels: From Logged to Locked Down"

Short summary

LoopRails is a practitioner framework for human-in-the-loop oversight of AI agents, defining a seven-rung autonomy ladder from L0 (autonomous, silent) to L6 (escalate/forbid). The key insight is that autonomy should be set per action, not per agent, based on consequence grading across reversibility, blast radius, and stakes. The framework specifically addresses automation bias at L5 by forcing humans to commit to decisions before seeing the agent's recommendation.

• •Seven-rung autonomy ladder (L0–L6) from silent autonomous action to full human escalation
• •Autonomy should be set per action based on reversibility, blast radius, and stakes—not globally per agent
• •L5 introduces a forcing function against automation bias by requiring human commitment before seeing the agent's recommendation

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