Agent
An AI system that takes actions in the world toward a goal, typically in a loop and with some autonomy, rather than only producing an output and waiting. Because an agent acts (sends, moves, deletes, calls other systems) faster than a human can review each step, it is the class of system for which a scoped deployment, containment, and a tested kill switch are essential rather than optional.
Defined in 2 GAGE programs, which carry 4 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.
An AI system that takes actions in the world toward a goal, typically in a loop and with some autonomy, rather than only producing an output and waiting. Because an agent acts (sends, moves, deletes, calls other systems) faster than a human can review each step, it is the class of system for which a scoped deployment, containment, and a tested kill switch are essential rather than optional.
A system that plans a multi-step approach toward a goal, chooses and calls tools, connects to other systems and agents through defined protocols, and executes real actions, not merely descriptions of actions. Defined by the framework through eight core components: model, instructions, memory, planning and reasoning, tools, protocols, controls, and logging and monitoring.
an AI system that can perceive, reason, and act toward a goal, distinguished from a chatbot by its ability to take actions, not just produce text. (see Topic 0.2)
An AI system that takes actions in the world (calls tools, changes records, moves money, sends messages) rather than only producing text for a human to act on. The action, not the intelligence, is what makes logging it a governance duty.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- What an Agent Actually Is · Taking the Controls, Agentic AI Governance: Applied Mastery
- The Eight Components I · The Agent, Deconstructed, Agentic AI Governance: Applied Mastery
- The agent audit trail: logging actions so you can reconstruct any decision it made · Agents Under Command, AI Governance: Applied Mastery
- You deploy an agent: scoping, containment, and the kill switch you test before launch · 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.