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.

Agentic AI

Written by Max Zeshut

Founder at Agentmelt

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.

Пример

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.

Часто задаваемые вопросы

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.

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