LEVEL 04 · LESSON 30
AI agents
An agent chooses steps toward a goal within boundaries set by its application.
What it is
An AI agent is a system that uses a model to choose and perform steps toward a goal, often using tools and feedback. The term covers systems with very different levels of autonomy.
Why it matters
Agents can handle tasks whose exact steps are hard to specify in advance, but each added decision creates opportunities for error and cost.
A business example
An assistant investigates a delayed order by checking shipment status, reviewing recent customer messages, and drafting a resolution. Sending the resolution or issuing compensation may still require approval.
How it actually works
The application gives the model a goal, context, available tools, and boundaries. It executes allowed tool requests and returns observations so the model can choose another step or stop. Useful agents need limits on time, spending, permissions, and retries, plus a way to recover from failure. Evaluate complete outcomes rather than how convincing the reasoning sounds.
A common misconception
An agent is not an employee with general authority. Its capabilities and permission to act must be deliberately defined.
ONE SENTENCE TO REMEMBER
An agent chooses steps toward a goal within boundaries set by its application.
CHECK YOUR UNDERSTANDING
A manager wants an AI agent to “handle supplier onboarding.” What must be defined before it goes live?
Show the answer
Answer: B.
An agent chooses steps toward a goal within boundaries set by its application. It is not an employee with general authority; its capabilities and permission to act must be deliberately defined. Evaluate complete outcomes, not how convincing the reasoning sounds.
Take it into your next meeting
Where does flexible planning create real value in your process?
One more concept, understood.
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