Agentic AI represents a fundamental shift from traditional AI models that merely answer questions to autonomous agents that can perceive, plan, decide, and execute actions. This evolution introduces a new vocabulary including core concepts like the Agent Loop (Perceive → Plan → Act → Observe), Tool Use for real function calls, Memory systems with short-term and long-term storage, RAG for retrieving external knowledge, and Guardrails for safety control. These terms form the shared operating language for building production-ready AI systems that can interact with tools, collaborate in teams, and operate with human oversight.
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