AI Agent
A model that takes actions in the world through tools, not just producing text. The reasoning decides what to do; the tools are how it reaches out and does it. What makes an agent governable, and dangerous, is that its outputs are actions.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A system that takes actions in the world by itself, through tools, to accomplish a goal across multiple steps, without a human required between each decision and its effect. The working definition for this module; a system is acting as an agent to the exact degree that its decisions become effects with no human in between.
an AI system that plans and executes multi-step tasks autonomously toward a defined goal, using tools, maintaining memory, and making decisions without human approval for each step.
A model that takes actions in the world through tools, not just producing text. The reasoning decides what to do; the tools are how it reaches out and does it. What makes an agent governable, and dangerous, is that its outputs are actions.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Agentic vs. Traditional AI: What Changed · AI Fundamentals, AI Literacy & Professional Conduct
- What changes when the AI acts instead of answers: the agent risk model · Agents Under Command, AI Governance: Applied Mastery
- Permissioning an agent: tools, budgets, and the actions it may never take alone · Agents Under Command, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.