Use case
Research
Collect, compare and summarize sources.
AI & Automation TRENDING
AI Agents: Agents don’t just answer. They act.
AI agents plan, use tools and complete multi-step work — research, support, operations and coding.
Quick answer
What are AI agents?
AI agents are software systems built on AI models that can pursue a goal: they plan steps, call tools or APIs, observe results and adjust until the task is done or they need human input.
Anatomy of an agent
- 01
Goal
A clear outcome and the limits it must respect.
- 02
Model
The reasoning engine that plans and decides.
- 03
Tools
Search, code, spreadsheets, email, APIs — what it can do.
- 04
Memory
What it remembers within and across tasks.
- 05
Guardrails
Approvals, budgets and permissions for risky actions.
Where agents work well today
Use case
Support triage
Classify and draft first replies.
Use case
Operations
Move data between systems, reconcile, report.
Use case
Coding
Implement, test and fix code in a repo.
Agent platforms to know
O
OpenAI Agents
AI AgentsOpenAI's developer platform for building agents and tools.
C
Claude Code
AI AgentsAnthropic's agentic coding tool that works in your terminal and projects.
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AI Agent ROI Calculator
Estimate the payback of automating a repeatable workflow with an AI agent.
Questions, answered
What are AI agents?
Systems that use AI models and tools to complete multi-step tasks toward a goal.
Are AI agents safe to use?
They are safest with limited permissions, approval steps for risky actions and logs you can review.
The future isn’t something you wait for.
You build it.
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