Most people confuse AI Agents with Agentic AI Systems! But they’re not the same amzn.to/3HXG0Nr 👉 AI Agent = single-task executor User → Agent → Task → Output 👉 Agentic AI System = goal achiever Goal → Planner ↔ Executor ↔ Memory + Environment When to use which? ✅ AI Agent → summarize a doc, book meetings, extract invoices ✅ Agentic AI → market research, system monitoring, personalized learning
@Python_Dv Interesting distinction. Autonomy really defines the difference, not just complexity. One follows instructions, the other sets its own.
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@Python_Dv @machinelearnflx Every time I confused about it but now I am clear .
@Python_Dv Definitely a crucial distinction. Knowing when to use each can save time and resources.
@Python_Dv Thanks for the clarification. I confused it before, and now I am aware of the difference
@Python_Dv Understanding Agentic AI is key. It moves beyond tasks. It achieves big goals.
@Python_Dv Agents can also have reasoning loop and memory. Isn’t it?
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@Python_Dv This post is a little over blown. All agentic AI are AI agents, but not all AI agents are truly agentic. Agentic AI deals with framework to implant ai agent. It’s fine to use them interchangeably
@Python_Dv Great breakdown! It's cool to see the differences highlighted clearly. Understanding this stuff makes all the difference in how we use AI.
@Python_Dv Exactly. Most of the hype stops at “agents.” Real value shows up when you connect them into systems with planning, memory, and workflows. That’s where ROI starts to compound. #AI #WorkflowAutomation