Chain-of-Thought Prompting
Make AI show its reasoning step-by-step for better accuracy on complex problems.
What is Chain-of-Thought?
Chain-of-thought (CoT) prompting asks the AI to show its reasoning process step by step before giving a final answer. This dramatically improves accuracy on math, logic, analysis, and complex reasoning tasks.
Simple addition: "Think step by step" or "Show your reasoning" at the end of a prompt.
Without CoT: "What's 15% of 847?" → Often gives wrong answer directly
With CoT: "What's 15% of 847? Think step by step." → Shows: 10% of 847 = 84.7, 5% = 42.35, total = 127.05
When to Use Chain-of-Thought
CoT is most valuable for:
- Math problems — Any calculation more complex than basic arithmetic
- Logic puzzles — "If A, then B. Given C, what follows?"
- Analysis — "Evaluate this business plan" (forces structured thinking)
- Debugging — "Find the bug in this code" (forces line-by-line review)
- Decision-making — "Should we choose option A or B?" (forces weighing pros/cons)
CoT is less useful for creative tasks, simple lookups, or format conversions.
Give ChatGPT a word problem without chain-of-thought, then the same problem with "Think step by step" added. Compare accuracy. Try: "A store has 3 boxes with 12 items each. If 20% of items are defective, how many non-defective items are there?"
- ✓Chain-of-thought forces the AI to reason step by step
- ✓Dramatically improves accuracy on math, logic, and analysis
- ✓As simple as adding "Think step by step" to your prompt
- ✓Most valuable for complex reasoning, least valuable for creative tasks