AI agent autonomy increases when an agent receives a complete task, durable context, tools and a quality bar it can check independently. It can then work for longer periods and return after reaching a result rather than requiring constant conversational guidance.
Autonomy should remain bounded by permissions, time, retries and acceptance criteria. Humans can move out of the implementation loop while still owning priorities, specifications, governance and final risk decisions.
ELI5
Agent autonomy describes how much an AI agent can decide and do without needing a person to guide every step. More autonomy can help with long tasks, but it should remain limited by permissions, time, retries, budgets, and clear acceptance criteria.
For example, an agent may receive a complete testable coding task and return only after the checks pass. People still own the priorities, rules, and final risk decisions even when they are not supervising each command.
