Glossary

What is an AI agent?

An AI agent is a system that uses a language model to pursue a goal across multiple steps — planning, calling tools, observing results, and adjusting — rather than producing a single response. Agents can read data, run code, generate assets, and act in software on a user’s behalf.

In depth

Understanding ai agent

The difference between a chatbot and an agent is the loop. A chatbot answers once; an agent takes a goal, decides what to do next, uses a tool, looks at the result, and repeats until the goal is met. That observe-act cycle is what lets it complete real tasks instead of just describing them.

Agents get their capabilities from tools — functions they can call, often exposed over MCP or a REST API. A design agent, for instance, gains the ability to generate editable art, see a canvas, and act on it, turning "make me an icon set" into finished, editable files.

Practical agents also need memory and context: what they did earlier, what the user prefers, and which facts about the world or the company are relevant right now.

See it in Clearly

Software for agents

The design workspace your AI agents can generate, perceive, and drive.

The design workspace where these ideas are real

Agents that generate, a canvas they can see and drive, and a brain that keeps every asset on-brand. Free to start.