Lately, I kept seeing Agentic AI everywhere, and as a non-techie, I had zero clue what it meant. So, I dug in—and found this great article that explained it simply. Here’s my takeaway (correct me if I’m wrong!): - Agentic AI breaks problems into steps instead of relying on a single AI model. - Specialized agents handle different tasks, working sequentially or in parallel for efficiency. - More transparency & control make debugging and scaling easier. - Higher setup cost but better long-term ROI due to automation and modularity. Know of any cool Agentic AI projects? Drop them in the comments—I’d love to check them out! 👇
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