Step-by-Step Problem Solving (Chain-of-Thought) › Looking Ahead

Chain-of-thought reasoning is your first tool for teaching agents to think, not just respond. By prompting the model to show its work, you get more accurate answers and insight into how it arrived at them.

But we can go further. In the next chapter, you'll learn how to make your agent check its own work and refine its answers. You'll discover techniques for getting the agent to review its reasoning, consider alternatives, and improve its responses through self-reflection. These approaches build on chain-of-thought to create even more reliable agents.

The key takeaway: when you need your agent to handle complex problems, don't just ask for an answer. Ask it to think through the problem step by step. That simple change gives the model room to reason instead of jumping straight to a response.