AI systems that create new content—text, images, code, audio, video—rather than just classifying or analyzing existing data. Generative AI powers AI agents by enabling them to draft emails, write code, create marketing copy, and produce reports. The technology underpins every agent category on this site: a sales agent generates personalized outreach, a coding agent writes and reviews code, and a support agent composes resolution responses.
Example
A marketing AI agent uses generative AI to produce 50 variations of ad copy, each personalized for a different audience segment, in under a minute—work that would take a human copywriter days.
Frequently asked questions
What's the difference between generative AI and AI agents?
Generative AI is the technology; an AI agent is the application. Generative AI produces content from a prompt. An AI agent uses generative AI as one capability within a larger system that also plans, uses tools, takes actions, and iterates toward goals. Think of generative AI as the engine and the agent as the car.
Is generative AI the same as a large language model?
LLMs are one type of generative AI, focused on text. Generative AI also includes image generators (Midjourney, DALL-E), video generators (Runway, Sora), music generators, and code generators. Most AI agents use LLMs as their core reasoning engine but may incorporate other generative models for specific tasks.