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Review AI Agent

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Definition

An AI agent is a software system that uses a model to choose and carry out multiple steps toward a goal, often by observing state, using tools, and adapting its next action.
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Plain-Language Explanation

Instead of answering once, an agent may plan, call software tools, inspect results, update its working state, and continue until it reaches a stopping condition or requires human input.
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Why It Matters

Multi-step action expands both usefulness and risk. Teams need explicit permissions, boundaries, checkpoints, observability, ownership, and reliable stopping and rollback paths.
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Example

An agent reviews a support queue, drafts responses from approved sources, creates proposed ticket updates, and pauses for a person before anything is sent.
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Common Misconception

Agent does not mean fully autonomous, conscious, or trustworthy. Many useful agents operate within narrow tasks and frequent human gates.
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Remember It This Way

A chatbot answers; an agent can continue and act.
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Related Terms

* [[actor|Actor]] * [[orchestration|Orchestration]] * [[objective-escape|Objective Escape]] * [[human-ownership|Human Ownership]] * [[state-transition-protocol|State Transition Protocol]]
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Sources

* [NIST NCCoE, *Accelerating the Adoption of Software and Artificial Intelligence Agent Identity and Authorization*](https://csrc.nist.gov/pubs/other/2026/02/05/accelerating-the-adoption-of-software-and-ai-agent/ipd) โ€” official concept paper defining AI agents and examining their authority, identity, and access risks.
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Learn More

* Define action boundaries with [[human-ownership|Human Ownership]] and [[state-transition-protocol|State Transition Protocol]].
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