Mastering Agentic AI: The ReAct Pattern
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From prediction to action
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Agentic AI shifts models from next-word prediction to systems that think, plan, and execute tasks.
The LLM without tools
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Like a brilliant student locked in a room, traditional LLMs guess or hallucinate without live data and tools.
What ReAct means
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ReAct (Reason + Act) teaches the model to pause, identify what is missing, and take a concrete action.
Thought, Action, Observation
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The iterative loop: reason about the gap, call a tool, read the result, and repeat until the task is done.
Stock-price example
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Looking up Apple’s price shows Thought → web search Action → Observation → final answer in practice.
Reason. Act. Observe.
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ReAct turns a chatbot into an active digital worker by looping reason, tools, and feedback.