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Web Developer// Content Writer// IT Support @ speedlink HI-Tech Limited
What is Agentic AI vs Generative AI?
<p>Generative AI is what you're probably already familiar with. </p><p>It's designed to create content. From texts, images, code, music, and more, tools like ChatGPT, Microsoft Copilot, Claude, Gemini, DeepSeek, Midjourney, and DALL·E fall into this category. </p><p>They generate based on prompts, but they mostly wait for your instruction before acting.</p><p><br/></p><p>Agentic AI, on the other hand, takes it a step further. These AIs are designed to be goal-driven and can take actions autonomously. </p><p>That means they don't just wait for input. They can plan, decide, and execute tasks on their own with minimal human input.</p><p>Some examples of Agentic AI include Auto-GPT, BabyAGI, AgentGPT, Open Interpreter, HyperWrite's AI Agent, and GitHub Copilot’s agent mode in VSCode. </p><p>These tools can manage workflows, perform online tasks, and even make decisions based on goals you set.</p><p><br/></p><p>Example: </p><p>🌹 Generative AI: You tell it, “Write a blog post.” It writes. </p><p>🌹 Agentic AI: You say, “Grow my blog audience.” It plans content, schedules posts, runs ads, and analyzes results, mostly by itself.</p><p><br/></p><p>In short:</p><p>🌹 Generative AI creates. </p><p>🌹 Agentic AI thinks, plans, and acts.</p><p>We are moving from smart assistants to smart agents, and this is just the beginning. </p><p>Which of the generative or Agentic AIs are you currently using?</p><p>Drop it in the comment.</p>
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