Definition
An Autonomous Agent is an AI agent that operates without requiring continuous human oversight, making multi-step decisions and taking actions to achieve goals independently. The agent receives a high-level objective, decomposes it into sub-tasks, executes those sub-tasks through tool calls and reasoning, and delivers a result—all without a human approving each step. Autonomy is the defining characteristic that separates agents from simple LLM chat interactions, where a human drives every exchange.
Engineering Context
"Autonomous" is a spectrum, not a binary. Most production agents are semi-autonomous: they operate independently for routine tasks but route edge cases to human review via human-in-the-loop checkpoints. Full autonomy requires high confidence calibration, robust guardrails, and reversibility guarantees on all actions—ensuring that if the agent makes a mistake, the system can recover without data loss or downstream harm. Engineering for autonomy means designing explicit escalation paths, defining confidence thresholds that trigger human review, and ensuring every action taken by the agent is logged with sufficient context for post-hoc audit.
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