Why an LLM Alone Is Not an AI Agent: A System Design Explainer

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A technical guide published on DEV Community by Harsh Mishra on July 15 draws a clear distinction between large language models and AI agents. While an LLM functions as a next-token prediction engine, a full AI agent requires additional components such as state management, retrieval systems, tools, and observability. The article is aimed at beginners and frames the LLM as a decision engine rather than a complete application. Mishra argues that understanding this architectural difference is essential for developers moving from simple prompts to production-ready AI products.

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