Task agents
Complete a defined job such as research, drafting, data preparation, or code changes.
Practical AI guide
What Are AI Agents?
AI agents are systems that work toward a goal by planning steps, using approved tools, observing results, and deciding what to do next. They can automate useful work, but reliable agents need narrow permissions, clear stopping rules, evaluations, and human review for consequential actions.
How AI agents work
Most agents repeat a controlled loop. The implementation may be simple or complex, but the operating pattern is similar.
- 1. Receive a goal
- 2. Plan the next step
- 3. Use a tool
- 4. Observe the result
- 5. Continue or stop
Main types of artificial intelligence agents
Workflow agents
Move through a repeatable sequence and call approved tools at each step.
Conversational agents
Maintain dialogue context while retrieving information or taking limited actions.
Multi-agent systems
Assign separate roles to multiple agents and coordinate their outputs through a shared process.
Core parts of an AI agent
- Model: interprets the goal and selects the next action.
- Tools: provide controlled access to search, data, code, APIs, or business systems.
- State and memory: retain relevant task context without keeping unnecessary sensitive data.
- Guardrails: limit actions, validate inputs, and require approval when risk increases.
- Observability: records steps, errors, cost, latency, and outcomes for review.
Where AI agents are useful
- Research and evidence collection with source review.
- Customer-support triage and suggested replies.
- Developer workflows such as tests, code review, and issue preparation.
- Marketing operations such as content repurposing and campaign preparation.
- Internal operations that move data between approved systems.
AI agent vs chatbot vs workflow automation
| System | Primary behavior | Best fit | Main risk |
|---|---|---|---|
| Chatbot | Responds to messages | Questions, drafting, support | Incorrect or unsupported answers |
| Workflow automation | Runs predefined steps | Stable, repeatable processes | Brittle rules and integration failures |
| AI agent | Selects actions toward a goal | Variable multi-step work | Unexpected actions without controls |
AI agents FAQ
What is an AI agent?
An AI agent is software that receives a goal, decides what to do next, uses approved tools or data, observes the result, and continues until it reaches a stopping condition or asks for human input.
How is an AI agent different from a chatbot?
A chatbot mainly responds to messages. An agent can also plan steps, call tools, update state, and complete actions within defined permissions and guardrails.
Do AI agents work without human review?
Some low-risk steps can run automatically, but consequential decisions, external messages, financial actions, deletions, and sensitive-data workflows should use clear approval and audit controls.
What tools do AI agents use?
Agents may use search, databases, code execution, calendars, email, CRM systems, browsers, APIs, and internal business applications. Access should be limited to the minimum permissions required.
What should I compare when choosing an AI agent platform?
Compare model choice, tool integrations, permission controls, observability, evaluation support, memory design, deployment options, pricing, and the quality of human approval steps.
Compare AI agent tools
Browse agent platforms separately from this informational guide, then compare integrations, permissions, deployment options, and pricing.