Between prompt engineering and larger models, most of the AI conversation focuses on outputs — not the capacity to actually carry out tasks . I read a breakdown of how agentic AI differs from traditional models — what capabilities it implies, why people find it interesting, and how it might integrate with tools. Not saying it’s perfect — just thought it was one of the more grounded explanations I’ve seen recently. Here’s the guide I referenced: https://www.blockchain-council.org/guide/agentic-ai-guide/ submitted by /u/Long_Foundation435
Originally posted by u/Long_Foundation435 on r/ArtificialInteligence
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