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refers to artificial intelligence systems designed to act as autonomous agents. Instead of just answering questions, Agentic AI is given a high-level goal. It then independently plans a multi-step strategy, selects the necessary tools, executes tasks, evaluates its own progress, and adapts its behavior until the goal is achieved. Core Differences at a Glance
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In this pattern, an agent does not output its first draft. Instead, a secondary "critic" prompt or a separate validation agent reviews the output against strict constraints. If errors are found, the critic provides feedback, and the actor agent rewrites the solution. Multi-Agent Orchestration (Supervisor-Worker) refers to artificial intelligence systems designed to act