Write smarter prompts with Chain of Thought (CoT) techniques

Chain-of-thought (CoT) prompting is a powerful technique that helps AI models tackle more complex problems by guiding them through step-by-step reasoning. Instead of jumping straight to an answer, the model is prompted to think out loud—breaking the task into logical steps, much like how a human would solve it.

This approach not only improves accuracy but also makes the AI’s thinking process more transparent and reliable. When you combine CoT prompting with a few examples (known as few-shot prompting), you can significantly boost performance on tasks requiring deeper understanding or multi-step reasoning.

In this tutorial, we’ll show you how to use CoT prompting to get the desired results you always wanted with an AI chatbot. Not only will you create high-quality responses from your AI, you’ll be able to get your tasks done perfectly.

You’ll learn how to:

• Structure your prompts
• Build context with keyword research
• Optimize your results

Let’s dive in right away!