---
title: "What Is Agentic AI?"
description: "Agentic AI is AI that acts autonomously toward a goal, planning and using tools across many steps. Definition, how it differs from generative AI, and real examples."
type: "glossary"
locale: "en"
term: "Agentic AI"
canonical: "https://agenticschool.dev/glossary/agentic-ai"
dateModified: "2026-06-13"
---

# What Is Agentic AI?

- Definition: Agentic AI
- Updated: 2026-06-13
- Keywords: agentic ai, what is agentic ai, agentic ai meaning, agentic ai vs generative ai, autonomous ai
- Canonical URL: https://agenticschool.dev/glossary/agentic-ai
- Locale: en

> Agentic AI is AI that acts autonomously toward a goal, planning and using tools across many steps. Definition, how it differs from generative AI, and real examples.

Agentic AI is artificial intelligence that acts autonomously toward a goal, planning its own steps and using tools to get there, rather than only producing a single response on request. Where generative AI gives you an output (a paragraph, an image, a block of code) for each prompt, agentic AI takes a goal and drives a multi-step process to achieve it, deciding what to do, doing it, checking the result and continuing. In short, generative AI creates content; agentic AI gets things done. It is the broader capability that individual AI agents put into practice.

## Agentic AI vs generative AI

They are not opposites; agentic AI is usually built on top of generative models. The distinction is what the system does with the model. Generative AI responds. Agentic AI acts: it sets sub-goals, calls tools, and adapts based on what it observes, all to reach an outcome you defined once.

- Generative AI: prompt in, content out. One step, no actions on the world.
- Agentic AI: goal in, outcome out. Many steps, real actions, self-correction.
- An "AI agent" is a single concrete system that exhibits agentic behaviour.

## What makes a system agentic

Three properties show up across agentic systems: autonomy (it chooses its own next step), tool use (it can act, not just talk), and a feedback loop (it observes results and adjusts). The more of a task a system can carry without you steering each step, the more agentic it is. People often describe this on a spectrum from a simple assistant up to fully autonomous multi-agent systems.

## Where you already see it

Coding agents that take a ticket and open a working pull request, research agents that gather and synthesise sources, and automation flows that watch for an event and complete a multi-step task are all agentic AI. For builders, the practical takeaway is that agentic AI shifts your job from writing every instruction to setting clear goals, providing the right tools and context, and keeping verification in the loop.

## FAQ

### What is the difference between agentic AI and generative AI?

Generative AI produces content in response to a prompt. Agentic AI takes a goal and acts on it across multiple steps, using tools and correcting itself until the goal is reached. Agentic AI is usually built on top of generative models.

### Is agentic AI the same as an AI agent?

They are closely related. Agentic AI is the broader capability of acting autonomously toward a goal; an AI agent is a single concrete system that does this. One agentic system can also coordinate several agents.

### Is agentic AI safe to put into a business workflow?

It can be, with the right guardrails. Keep a human in the loop for risky actions, give the agent bounded permissions and clear goals, and measure outcomes. The value comes from automating repeatable, checkable work, not from removing oversight.