Nobody talks about this trick to boost your AI's reasoning.
It’s called Automatic Chain of Thought (Auto-CoT), and it beats hand-crafted prompts.
Here’s how to generate high-quality reasoning prompts… automatically 🧵:
1/ What is Auto Chain of Thought?
The secret weapon for AI reasoning:
- LLM generates its OWN examples using "Let's think step by step"
- Automatically creates diverse reasoning demonstrations
- No complex prompt engineering needed
2/ Why it matters:
Manual-CoT is powerful but labor-intensive.
Auto-CoT matches or outperforms it.
✅ No training
✅ No labels
✅ Fully automated
Just let the model self-demo and think aloud.
3/ The science behind Auto-CoT's magic:
1️⃣ Question clustering: Groups problems by type using semantic similarity
2️⃣ Diversity sampling: Selects representative questions from each cluster
3️⃣ Self-generation: Creates reasoning chains for each example
Diverse examples = fewer repeated mistakes.
4/ How to implement Auto-CoT TODAY (no coding needed):
Step 1: Generate diverse questions
Prompt #1:
Please generate 8 diverse questions about
[YOUR TOPIC] that require reasoning. Make sure the questions cover different aspects and difficulty levels.
5/ Step 2: Generate reasoning for each question
Prompt #2:
Question: [INSERT QUESTION FROM PROMPT #1]
Please answer this by thinking step by step.
6/ Step 3: Put it all together for your actual question
Prompt #3:
I want you to solve a problem for me. First, look at these example questions and how they were answered with step-by-step reasoning:
Example 1:
Question: [Question 1]
Answer: [Response 1]
Example 2:
Question: [Question 2]
Answer: [Response 2]
[Continue with more examples...]
Now, using the same step-by-step approach, please solve this new problem:
[YOUR ACTUAL QUESTION]
7/ Auto-CoT in action: Financial analysis
Prompt example:
I want you to solve a financial problem for me. First, look at these example questions and how they were answered:
Example 1:
Question: If a company's revenue is $500,000 with $350,000 in expenses, what is the profit margin?
Answer: Let's think step by step. The profit is revenue minus expenses: $500,000 - $350,000 = $150,000. To find profit margin, I divide profit by revenue: $150,000 ÷ $500,000 = 0.3 or 30%. The profit margin is 30%.
Example 2:
Question: If I invest $10,000 with 7% annual interest compounded yearly, how much will I have after 3 years?
Answer: Let's think step by step. After 1 year: $10,000 × 1.07 = $10,700. After 2 years: $10,700 × 1.07 = $11,449. After 3 years: $11,449 × 1.07 = $12,250.43. I will have $12,250.43 after 3 years.
Now, using the same step-by-step approach, please solve this new problem:
If our Q1 revenue was $2.4M with costs of $1.7M, and Q2 revenue is projected to increase by 15% with costs increasing by 8%, what will our profit margin be?
6/ Business use case: Customer support analysis
Prompt example:
I want you to analyze customer support metrics. First, look at these examples:
Example 1:
Question: If we receive 200 tickets and resolve 180, what's our resolution rate?
Answer: Let's think step by step. Resolution rate is calculated as resolved tickets divided by total tickets. 180 ÷ 200 = 0.9 or 90%. The resolution rate is 90%.
Example 2:
Question: If average response time last month was 5 hours and this month is 4 hours, what's the percentage improvement?
Answer: Let's think step by step. Improvement is calculated as the decrease divided by the original value. Decrease = 5 - 4 = 1 hour. Percentage improvement = 1 ÷ 5 = 0.2 or 20%. The improvement is 20%.
Now, solve this new problem:
We received 850 tickets last month, resolved 720, and had 45 reopen. Our average response time was 4.2 hours. Is our support performance improving compared to targets of 800 tickets, 85% resolution, 5% reopens, and 5-hour response time?
7/ Ready-to-use template:
I want you to analyze marketing ROI. First, look at these examples:
Example 1:
Question: If we spent $5,000 on a campaign that generated $20,000 in sales, what's our ROI?
Answer: Let's think step by step. ROI is calculated as (Revenue - Cost) ÷ Cost. That's ($20,000 - $5,000) ÷ $5,000 = $15,000 ÷ $5,000 = 3 or 300%. The ROI is 300%.
Example 2:
Question: If our Facebook ads cost $2,500 and generated 250 leads, while Google ads cost $3,000 and generated 275 leads, which platform had better cost per lead?
Answer: Let's think step by step. For Facebook, cost per lead = $2,500 ÷ 250 = $10 per lead. For Google, cost per lead = $3,000 ÷ 275 = $10.91 per lead. Facebook has a better (lower) cost per lead at $10 compared to Google's $10.91.
Now, solve this new problem:
We ran three campaigns last quarter: Email ($5K cost, $45K revenue, 1,200 conversions), Social ($12K cost, $78K revenue, 850 conversions), and Search ($8K cost, $62K revenue, 620 conversions). Which channel should we prioritize for budget increase next quarter and why?
8/ Business use case: HR and workforce planning
Copy-paste template:
I want you to solve an HR planning problem. First, look at these examples:
Example 1:
Question: If our company has 120 employees and annual turnover rate is 15%, how many new hires should we plan for next year to maintain headcount?
Answer: Let's think step by step. With 15% turnover, we'll lose 120 × 0.15 = 18 employees next year. To maintain headcount, we need to hire 18 new employees.
Example 2:
Question: If each recruiter can process 25 applications per week, and we receive 500 applications per month, how many recruiters do we need?
Answer: Let's think step by step. 500 applications per month equals about 115 applications per week (500 ÷ 4.33 weeks per month). If each recruiter handles 25 applications per week, we need 115 ÷ 25 = 4.6 recruiters. Since we can't have a partial recruiter, we need 5 recruiters.
Now, solve this new problem:
Our tech department currently has 45 developers with an average salary of $95K and 5 managers with an average salary of $130K. We're planning to grow the team by 30% next year while maintaining the current ratio of developers to managers. The average salary is expected to increase by 5% for all roles. What will be our total personnel budget for the tech department next year?
9/ Why this approach dominates:
🚫 Similarity trap: Similar examples propagate the same errors
✅ Diverse reasoning: Different problem types need different thinking paths
🔄 Self-improving: The more diverse your examples, the more robust your reasoning
🎯 Transferable: Examples from one domain improve reasoning in related domains
10/ Advanced tip: Scaling up Auto-CoT
For complex domains, increase the number of examples to 10-12 instead of just 2-3.
Create a document with your best examples and reasoning chains, then reuse them across similar problems. This creates a "reasoning library" that grows more powerful over time.
11/ Expert tip: Targeted Auto-CoT
When facing challenging problems, use this two-stage approach:
1. Ask the AI to identify what makes this problem difficult:
"What are the 3 most challenging aspects of solving this problem: [YOUR PROBLEM]?"
2. Generate example questions specifically targeting those difficulties:
"Generate 6 example questions that specifically address these challenging aspects, with step-by-step solutions."
This targets your Auto-CoT examples at the exact reasoning challenges in your specific problem.
12/ TL;DR
Auto-CoT: Let AI create its own reasoning examples.
- Better performance than hand-crafted prompts
- Simple 3-step process anyone can use
- Works across all reasoning tasks
- No coding required
Try it today with the templates above and watch your AI reasoning quality improve dramatically!
13/ Read the full research paper:
📄 "Automatic Chain of Thought Prompting in Large Language Models" by Zhang, Zhang, Li & Smola"
If you found this useful:
1/ Follow me @alex_prompter for more AI tips.
2/ Like & RT this post:
Nobody talks about this trick to boost your AI's reasoning.
It’s called Automatic Chain of Thought (Auto-CoT), and it beats hand-crafted prompts.
Here’s how to generate high-quality reasoning prompts… automatically 🧵:1/ What is Auto Chain of Thought?
The secret weapon for AI reasoning:
- LLM generates its OWN examples using "Let's think step by step"
- Automatically creates diverse reasoning demonstrations
- No complex prompt engineering needed2/ Why it matters:
Manual-CoT is powerful but labor-intensive.
Auto-CoT matches or outperforms it.
✅ No training
✅ No labels
✅ Fully automated
Just let the model self-demo and think aloud.3/ The science behind Auto-CoT's magic:
1️⃣ Question clustering: Groups problems by type using semantic similarity
2️⃣ Diversity sampling: Selects representative questions from each cluster
3️⃣ Self-generation: Creates reasoning chains for each example
Diverse examples = fewer repeated mistakes.4/ How to implement Auto-CoT TODAY (no coding needed):
Step 1: Generate diverse questions
Prompt #1:
Please generate 8 diverse questions about
[YOUR TOPIC] that require reasoning. Make sure the questions cover different aspects and difficulty levels.5/ Step 2: Generate reasoning for each question
Prompt #2:
Question: [INSERT QUESTION FROM PROMPT #1]
Please answer this by thinking step by step.6/ Step 3: Put it all together for your actual question
Prompt #3:
I want you to solve a problem for me. First, look at these example questions and how they were answered with step-by-step reasoning:
Example 1:
Question: [Question 1]
Answer: [Response 1]
Example 2:
Question: [Question 2]
Answer: [Response 2]
[Continue with more examples...]
Now, using the same step-by-step approach, please solve this new problem:
[YOUR ACTUAL QUESTION]7/ Auto-CoT in action: Financial analysis
Prompt example:
I want you to solve a financial problem for me. First, look at these example questions and how they were answered:
Example 1:
Question: If a company's revenue is $500,000 with $350,000 in expenses, what is the profit margin?
Answer: Let's think step by step. The profit is revenue minus expenses: $500,000 - $350,000 = $150,000. To find profit margin, I divide profit by revenue: $150,000 ÷ $500,000 = 0.3 or 30%. The profit margin is 30%.
Example 2:
Question: If I invest $10,000 with 7% annual interest compounded yearly, how much will I have after 3 years?
Answer: Let's think step by step. After 1 year: $10,000 × 1.07 = $10,700. After 2 years: $10,700 × 1.07 = $11,449. After 3 years: $11,449 × 1.07 = $12,250.43. I will have $12,250.43 after 3 years.
Now, using the same step-by-step approach, please solve this new problem:
If our Q1 revenue was $2.4M with costs of $1.7M, and Q2 revenue is projected to increase by 15% with costs increasing by 8%, what will our profit margin be?6/ Business use case: Customer support analysis
Prompt example:
I want you to analyze customer support metrics. First, look at these examples:
Example 1:
Question: If we receive 200 tickets and resolve 180, what's our resolution rate?
Answer: Let's think step by step. Resolution rate is calculated as resolved tickets divided by total tickets. 180 ÷ 200 = 0.9 or 90%. The resolution rate is 90%.
Example 2:
Question: If average response time last month was 5 hours and this month is 4 hours, what's the percentage improvement?
Answer: Let's think step by step. Improvement is calculated as the decrease divided by the original value. Decrease = 5 - 4 = 1 hour. Percentage improvement = 1 ÷ 5 = 0.2 or 20%. The improvement is 20%.
Now, solve this new problem:
We received 850 tickets last month, resolved 720, and had 45 reopen. Our average response time was 4.2 hours. Is our support performance improving compared to targets of 800 tickets, 85% resolution, 5% reopens, and 5-hour response time?7/ Ready-to-use template:
I want you to analyze marketing ROI. First, look at these examples:
Example 1:
Question: If we spent $5,000 on a campaign that generated $20,000 in sales, what's our ROI?
Answer: Let's think step by step. ROI is calculated as (Revenue - Cost) ÷ Cost. That's ($20,000 - $5,000) ÷ $5,000 = $15,000 ÷ $5,000 = 3 or 300%. The ROI is 300%.
Example 2:
Question: If our Facebook ads cost $2,500 and generated 250 leads, while Google ads cost $3,000 and generated 275 leads, which platform had better cost per lead?
Answer: Let's think step by step. For Facebook, cost per lead = $2,500 ÷ 250 = $10 per lead. For Google, cost per lead = $3,000 ÷ 275 = $10.91 per lead. Facebook has a better (lower) cost per lead at $10 compared to Google's $10.91.
Now, solve this new problem:
We ran three campaigns last quarter: Email ($5K cost, $45K revenue, 1,200 conversions), Social ($12K cost, $78K revenue, 850 conversions), and Search ($8K cost, $62K revenue, 620 conversions). Which channel should we prioritize for budget increase next quarter and why?8/ Business use case: HR and workforce planning
Copy-paste template:
I want you to solve an HR planning problem. First, look at these examples:
Example 1:
Question: If our company has 120 employees and annual turnover rate is 15%, how many new hires should we plan for next year to maintain headcount?
Answer: Let's think step by step. With 15% turnover, we'll lose 120 × 0.15 = 18 employees next year. To maintain headcount, we need to hire 18 new employees.
Example 2:
Question: If each recruiter can process 25 applications per week, and we receive 500 applications per month, how many recruiters do we need?
Answer: Let's think step by step. 500 applications per month equals about 115 applications per week (500 ÷ 4.33 weeks per month). If each recruiter handles 25 applications per week, we need 115 ÷ 25 = 4.6 recruiters. Since we can't have a partial recruiter, we need 5 recruiters.
Now, solve this new problem:
Our tech department currently has 45 developers with an average salary of $95K and 5 managers with an average salary of $130K. We're planning to grow the team by 30% next year while maintaining the current ratio of developers to managers. The average salary is expected to increase by 5% for all roles. What will be our total personnel budget for the tech department next year?9/ Why this approach dominates:
🚫 Similarity trap: Similar examples propagate the same errors
✅ Diverse reasoning: Different problem types need different thinking paths
🔄 Self-improving: The more diverse your examples, the more robust your reasoning
🎯 Transferable: Examples from one domain improve reasoning in related domains10/ Advanced tip: Scaling up Auto-CoT
For complex domains, increase the number of examples to 10-12 instead of just 2-3.
Create a document with your best examples and reasoning chains, then reuse them across similar problems. This creates a "reasoning library" that grows more powerful over time.11/ Expert tip: Targeted Auto-CoT
When facing challenging problems, use this two-stage approach:
1. Ask the AI to identify what makes this problem difficult:
"What are the 3 most challenging aspects of solving this problem: [YOUR PROBLEM]?"
2. Generate example questions specifically targeting those difficulties:
"Generate 6 example questions that specifically address these challenging aspects, with step-by-step solutions."
This targets your Auto-CoT examples at the exact reasoning challenges in your specific problem.12/ TL;DR
Auto-CoT: Let AI create its own reasoning examples.
- Better performance than hand-crafted prompts
- Simple 3-step process anyone can use
- Works across all reasoning tasks
- No coding required
Try it today with the templates above and watch your AI reasoning quality improve dramatically!13/ Read the full research paper:
📄 "Automatic Chain of Thought Prompting in Large Language Models" by Zhang, Zhang, Li & Smola"Do you want to buy a coffee, or a subscription to your business success?
→ Just $15/mo for ALL of my AI Prompts (7-day free trial)
→ Just $3.99/mo for a specific ChatGPT Pack
→ Just $9.99/mo for ChatGPT Bundle
👇 Join the AI Revolution today:That's all, folks!
If you found this useful:
1/ Follow me @alex_prompter for more AI tips.
2/ Like & RT this post:
yes
Nobody talks about this trick to boost your AI's reasoning.
It’s called Automatic Chain of Thought (Auto-CoT), and it beats hand-crafted prompts.
Here’s how to generate high-quality reasoning prompts… automatically 🧵: ... 1/ What is Auto Chain of Thought?
The secret weapon for AI reasoning:
- LLM generates its OWN examples using "Let's think step by step"
- Automatically creates diverse reasoning demonstrations
- No complex prompt engineering needed ... 2/ Why it matters:
Manual-CoT is powerful but labor-intensive.
Auto-CoT matches or outperforms it.
No training
No labels
Fully automated
Just let the model self-demo and think aloud. ... 3/ The science behind Auto-CoT's magic:
1️⃣ Question clustering: Groups problems by type using semantic similarity
2️⃣ Diversity sampling: Selects representative questions from each cluster
3️⃣ Self-generation: Creates reasoning chains for each example
Diverse examples = fewer repeated mistakes. ... 4/ How to implement Auto-CoT TODAY (no coding needed):
Step 1: Generate diverse questions
Prompt #1:
Please generate 8 diverse questions about
[YOUR TOPIC] that require reasoning. Make sure the questions cover different aspects and difficulty levels. ... 5/ Step 2: Generate reasoning for each question
Prompt #2:
Question: [INSERT QUESTION FROM PROMPT #1]
Please answer this by thinking step by step. ... 6/ Step 3: Put it all together for your actual question
Prompt #3:
I want you to solve a problem for me. First, look at these example questions and how they were answered with step-by-step reasoning:
Example 1:
Question: [Question 1]
Answer: [Response 1]
Example 2:
Question: [Question 2]
Answer: [Response 2]
[Continue with more examples...]
Now, using the same step-by-step approach, please solve this new problem:
[YOUR ACTUAL QUESTION] ... 7/ Auto-CoT in action: Financial analysis
Prompt example:
I want you to solve a financial problem for me. First, look at these example questions and how they were answered:
Example 1:
Question: If a company's revenue is $500,000 with $350,000 in expenses, what is the profit margin?
Answer: Let's think step by step. The profit is revenue minus expenses: $500,000 - $350,000 = $150,000. To find profit margin, I divide profit by revenue: $150,000 ÷ $500,000 = 0.3 or 30%. The profit margin is 30%.
Example 2:
Question: If I invest $10,000 with 7% annual interest compounded yearly, how much will I have after 3 years?
Answer: Let's think step by step. After 1 year: $10,000 × 1.07 = $10,700. After 2 years: $10,700 × 1.07 = $11,449. After 3 years: $11,449 × 1.07 = $12,250.43. I will have $12,250.43 after 3 years.
Now, using the same step-by-step approach, please solve this new problem:
If our Q1 revenue was $2.4M with costs of $1.7M, and Q2 revenue is projected to increase by 15% with costs increasing by 8%, what will our profit margin be? ... 6/ Business use case: Customer support analysis
Prompt example:
I want you to analyze customer support metrics. First, look at these examples:
Example 1:
Question: If we receive 200 tickets and resolve 180, what's our resolution rate?
Answer: Let's think step by step. Resolution rate is calculated as resolved tickets divided by total tickets. 180 ÷ 200 = 0.9 or 90%. The resolution rate is 90%.
Example 2:
Question: If average response time last month was 5 hours and this month is 4 hours, what's the percentage improvement?
Answer: Let's think step by step. Improvement is calculated as the decrease divided by the original value. Decrease = 5 - 4 = 1 hour. Percentage improvement = 1 ÷ 5 = 0.2 or 20%. The improvement is 20%.
Now, solve this new problem:
We received 850 tickets last month, resolved 720, and had 45 reopen. Our average response time was 4.2 hours. Is our support performance improving compared to targets of 800 tickets, 85% resolution, 5% reopens, and 5-hour response time? ... 7/ Ready-to-use template:
I want you to analyze marketing ROI. First, look at these examples:
Example 1:
Question: If we spent $5,000 on a campaign that generated $20,000 in sales, what's our ROI?
Answer: Let's think step by step. ROI is calculated as (Revenue - Cost) ÷ Cost. That's ($20,000 - $5,000) ÷ $5,000 = $15,000 ÷ $5,000 = 3 or 300%. The ROI is 300%.
Example 2:
Question: If our Facebook ads cost $2,500 and generated 250 leads, while Google ads cost $3,000 and generated 275 leads, which platform had better cost per lead?
Answer: Let's think step by step. For Facebook, cost per lead = $2,500 ÷ 250 = $10 per lead. For Google, cost per lead = $3,000 ÷ 275 = $10.91 per lead. Facebook has a better (lower) cost per lead at $10 compared to Google's $10.91.
Now, solve this new problem:
We ran three campaigns last quarter: Email ($5K cost, $45K revenue, 1,200 conversions), Social ($12K cost, $78K revenue, 850 conversions), and Search ($8K cost, $62K revenue, 620 conversions). Which channel should we prioritize for budget increase next quarter and why? ... 8/ Business use case: HR and workforce planning
Copy-paste template:
I want you to solve an HR planning problem. First, look at these examples:
Example 1:
Question: If our company has 120 employees and annual turnover rate is 15%, how many new hires should we plan for next year to maintain headcount?
Answer: Let's think step by step. With 15% turnover, we'll lose 120 × 0.15 = 18 employees next year. To maintain headcount, we need to hire 18 new employees.
Example 2:
Question: If each recruiter can process 25 applications per week, and we receive 500 applications per month, how many recruiters do we need?
Answer: Let's think step by step. 500 applications per month equals about 115 applications per week (500 ÷ 4.33 weeks per month). If each recruiter handles 25 applications per week, we need 115 ÷ 25 = 4.6 recruiters. Since we can't have a partial recruiter, we need 5 recruiters.
Now, solve this new problem:
Our tech department currently has 45 developers with an average salary of $95K and 5 managers with an average salary of $130K. We're planning to grow the team by 30% next year while maintaining the current ratio of developers to managers. The average salary is expected to increase by 5% for all roles. What will be our total personnel budget for the tech department next year? ... 9/ Why this approach dominates:
Similarity trap: Similar examples propagate the same errors
Diverse reasoning: Different problem types need different thinking paths
Self-improving: The more diverse your examples, the more robust your reasoning
Transferable: Examples from one domain improve reasoning in related domains ... 10/ Advanced tip: Scaling up Auto-CoT
For complex domains, increase the number of examples to 10-12 instead of just 2-3.
Create a document with your best examples and reasoning chains, then reuse them across similar problems. This creates a "reasoning library" that grows more powerful over time. ... 11/ Expert tip: Targeted Auto-CoT
When facing challenging problems, use this two-stage approach:
1. Ask the AI to identify what makes this problem difficult:
"What are the 3 most challenging aspects of solving this problem: [YOUR PROBLEM]?"
2. Generate example questions specifically targeting those difficulties:
"Generate 6 example questions that specifically address these challenging aspects, with step-by-step solutions."
This targets your Auto-CoT examples at the exact reasoning challenges in your specific problem. ... 12/ TL;DR
Auto-CoT: Let AI create its own reasoning examples.
- Better performance than hand-crafted prompts
- Simple 3-step process anyone can use
- Works across all reasoning tasks
- No coding required
Try it today with the templates above and watch your AI reasoning quality improve dramatically! ... 13/ Read the full research paper:
"Automatic Chain of Thought Prompting in Large Language Models" by Zhang, Zhang, Li & Smola" ... Do you want to buy a coffee, or a subscription to your business success?
→ Just $15/mo for ALL of my AI Prompts (7-day free trial)
→ Just $3.99/mo for a specific ChatGPT Pack
→ Just $9.99/mo for ChatGPT Bundle
Join the AI Revolution today: ... That's all, folks!
If you found this useful:
1/ Follow me @alex_prompter for more AI tips.
2/ Like & RT this post:
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