Trust

Chain of Thought

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Chain of thought is an AI interface design pattern that displays the step-by-step reasoning process the AI used to arrive at its answer, showing intermediate calculations, logical steps, and thought processes. This UX pattern builds trust by making the AI's reasoning transparent and verifiable, allowing users to follow the logic and verify each step. Instead of just showing the final answer, the AI displays its "thinking" process, which is particularly valuable for mathematical problems, logical reasoning, and complex problem-solving where users need to understand how the solution was derived. This pattern is essential for educational tools, problem-solving applications, and any domain where understanding the reasoning process is as important as the answer itself.

Use Case

Essential for educational tools, problem-solving applications, and domains where showing step-by-step reasoning builds trust and enables learning.

Examples in Wild

O1Wolfram AlphaMath AI toolsEducational platforms

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Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.

Generate a production-ready implementation of the "Chain of Thought" AI interface design pattern.

Pattern Description:
Interactive Demo
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Prompt: Solve 24 * 15
Answer: 360

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