What makes AI 'agentic' vs. just 'generative'?

Generative AI produces text, images, or code in response to a prompt. Agentic AI goes further: it plans, uses tools, takes actions, and iterates toward a goal. The key difference is autonomy and multi-step execution. Score any product on the Levels of Autonomy (AI Agents) scale to cut through the hype.

Agentic AI

Written by Max Zeshut

Founder at Agentmelt · Last updated Sep 9, 2026

AI systems that autonomously plan, decide, and execute multi-step tasks with minimal human oversight. Unlike simple prompt-response models, agentic AI breaks goals into sub-tasks, uses tools (APIs, browsers, databases), and iterates until the objective is met. Sales, support, and coding agents are all examples of agentic AI in production. Beware Agent Washing—the label is applied to many products that only follow a scripted path; genuine agentic AI decides its steps at runtime.

Example

An agentic sales workflow: the AI identifies a prospect, researches their company, drafts a personalized email, sends it, monitors for a reply, and schedules a meeting—iterating on each step without human input.

Frequently asked questions

What makes AI 'agentic' vs. just 'generative'?: Generative AI produces text, images, or code in response to a prompt. Agentic AI goes further: it plans, uses tools, takes actions, and iterates toward a goal. The key difference is autonomy and multi-step execution. Score any product on the Levels of Autonomy (AI Agents) scale to cut through the hype.

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