What is the Re-Act approach in AI agents?

• A. A method of acting without reflection
• B. A prompting technique that encourages models to reason step by step before generating a solution.
• C. A way to erase memory
• D. A method of parallel processing

Answer: (B)

Re-Act is a prompting technique that encourages models to reason step by step before generating a solution. It blends thinking with action, so the model first lays out intermediate reasoning to plan what it will do, then carries out an action based on that plan. The process can repeat: think, act, observe the result, and adjust. This approach is powerful for multi-step tasks and tool use because the model can decide which tool to invoke or what information to gather before proceeding, leading to more accurate and robust outcomes and making it easier to correct mistakes as new observations come in. It’s not about acting without reflection, erasing memory, or parallel processing.