Definition·
AI Agents

AI Agent

An AI agent is an autonomous software system that perceives its environment, reasons, and takes actions to achieve a goal — often using an LLM as its brain and tools (APIs, search, code) to act.

Detailed explanation

An AI agent combines a language model with the ability to plan, call external tools, and iterate on the result. Unlike a simple chatbot, the agent decomposes a complex task into steps, decides which tool to use (search, database, API, code execution), observes the output, and adjusts its next action. Frameworks like LangChain, LangGraph, CrewAI, and AutoGen make this loop easier to build. Production agents typically include guardrails, memory, and human approval steps for sensitive actions.

Examples

Customer support agent that searches the knowledge base, drafts a reply, and escalates complex cases to a human
Developer agent that reads a Jira ticket, opens the right files, edits the code, and submits a pull request
Sales agent that qualifies a lead, enriches it via the CRM, and books a meeting

Frequently asked questions

What is the difference between a chatbot and an AI agent?

A chatbot only generates text. An agent can take actions — call APIs, query databases, run code — and chain multiple steps to reach a goal.

Are AI agents safe to deploy in production?

Yes, provided you add guardrails: tool whitelists, output validation, rate limiting, logs, and human approval for sensitive operations.

Related terms

Last updated: 7/15/2026

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