What is an AI Agent?
A definition-first explanation of AI Agents: what they are, how they work, and where they fit.
Definition
An AI Agent is a software system that can understand a goal, reason about the required steps, use available tools, and execute actions within defined permissions.
Simple explanation
Think of an agent as a capable assistant with a task list and a set of tools. It plans what to do, uses the right tool for each step, checks the result, and keeps going until the goal is done.
Technical explanation
An agent combines a large language model (the reasoning brain), a set of tool definitions, and a control loop. The control loop iterates:
- Observe the current state and user goal
- Decide the next action
- Execute the action (tool call, data lookup, reply)
- Observe the new state
- Repeat until the goal is complete or a stopping condition is met
Architecture
- Model: the LLM that plans and reasons
- Memory: short-term context and long-term storage
- Tools: functions the agent can call (APIs, database queries, email)
- Guardrails: permission boundaries and safety rules
- Orchestrator: the loop that coordinates steps
Use cases
- Customer support resolution
- Document processing
- Sales follow-up
- IT operations
Common mistakes
- No guardrails: agents act beyond their permissions
- No evaluation: agents look good in demos but fail in production
- No observability: you cannot tell what the agent did
FAQ
Can an AI Agent replace my employees? No. Agents automate defined tasks; people handle judgement, relationships, and exceptions.
Is an AI Agent safe? Agents are as safe as their permissions and guardrails. Start narrow, add human approval, and monitor.
Explore AI Agents for your business.