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Force Explicit Chain-of-Thought

“Force Explicit Chain-of-Thought” is a short 12-minute practice from Zayenha Practice in the Digital & AI domain. Add "think step-by-step inside <thinking> tags before answering" — boosts complex-problem accuracy 30-40%. Immediate effect: Complex-problem accuracy rises 30-40%. You can read its goal and first step for free; the full practice with every step and the interactive part comes with Plus.

Add "think step-by-step inside <thinking> tags before answering" — boosts complex-problem accuracy 30-40%.

12 min Intermediate

Goal

Force a language model into "extended thinking" before answering, instead of jumping to output.

Steps

1

Pick a question requiring 3+ logical steps (calc, decision, compare).

4 more steps locked

Expected Outcome

Immediate

Complex-problem accuracy rises 30-40%.

Evidence base

School: Chain-of-Thought Prompting

Founders: Wei et al. · Anthropic (2022)

Wei et al. 2022 "Chain-of-Thought Prompting Elicits Reasoning" proved forcing reasoning-then-answer raises math accuracy from 18% to 57%.

Frequently asked questions

How long does "Force Explicit Chain-of-Thought" take?

This exercise takes about 12 minutes, practiced solo in a Creative format.

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

Complex-problem accuracy rises 30-40%. In the short term: You learn to diagnose model errors instead of fully accepting or rejecting.

Is "Force Explicit Chain-of-Thought" evidence-based?

Yes — it draws on Chain-of-Thought Prompting (Wei et al., Anthropic (2022)). Wei et al. 2022 "Chain-of-Thought Prompting Elicits Reasoning" proved forcing reasoning-then-answer raises math accuracy from 18% to 57%.

Is "Force Explicit Chain-of-Thought" suitable for beginners?

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

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Interactive practice locked · 4 more steps locked

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