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Chain-of-Thought Prompting

Ask the model to "think out loud" step by step before the final answer, especially for logic and math problems.

7 min Beginner

Goal

Reduce rushed-inference errors by surfacing intermediate reasoning steps instead of jumping straight to the answer.

Steps

1

Identify a question requiring multi-step reasoning (calculation, comparison, planning, multi-factor decision).

4 more steps locked

Expected Outcome

Immediate

Simple arithmetic and logic errors drop noticeably from first use.

Evidence base

School: Prompt Engineering / Reasoning Research

Founders: Jason Wei (Google Research) · Anthropic Research Team (2022)

The paper "Chain-of-Thought Prompting Elicits Reasoning" (Wei et al., Google 2022) proved that surfacing intermediate steps raises reasoning-task accuracy by dozens of percentage points versus direct questioning.

Frequently asked questions

How long does "Chain-of-Thought Prompting" take?

This exercise takes about 7 minutes, practiced solo in a Creative format.

When will I notice the effect of "Chain-of-Thought Prompting"?

Simple arithmetic and logic errors drop noticeably from first use. In the short term: You build a habit of reviewing the model's steps instead of blindly trusting the final answer.

Is "Chain-of-Thought Prompting" evidence-based?

Yes — it draws on Prompt Engineering / Reasoning Research (Jason Wei (Google Research), Anthropic Research Team (2022)). The paper "Chain-of-Thought Prompting Elicits Reasoning" (Wei et al., Google 2022) proved that surfacing intermediate steps raises reasoning-task accuracy by dozens of percentage points versus direct questioning.

Is "Chain-of-Thought Prompting" suitable for beginners?

Its difficulty level is: Beginner. No external tools required — it can be practiced directly inside the app.

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