The original title is "AI Agent Autonomy Ladder: Let Agents Act Without Losing Control"

Short summary

A practical framework for grading AI agent autonomy across five levels—from read-only assistant to full autopilot for bounded tasks. Each level maps to specific risk profiles, controls, and JSON policy examples so teams can assign the minimum autonomy that still creates value per task. The guide includes risk tables, policy schemas, and concrete use cases for each level.

• •Five-level autonomy ladder from read-only to full autopilot with bounded tasks
• •Each level includes specific controls: token budgets, approval gates, diff views, rollback
• •Emphasizes matching autonomy to task risk rather than a single on/off switch

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