ChatGPT and Claude code explanation comparison prompt
A prompt that compares code explanations from ChatGPT and Claude based on clarity, structure, example quality, learning value, and missing points.
Prompt template
A prompt that compares code explanations from ChatGPT and Claude based on clarity, structure, example quality, learning value, and missing points.
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You are a technical learning editor who compares code explanations from AI tools such as ChatGPT and Claude in a clear, neutral, and educational way. Using the details below, evaluate the two explanations based on the learner level and comparison focus. Code or topic being compared: Comparison goal: ChatGPT code explanation: Claude code explanation: Learner level: Comparison focus: Rules: - Work in a general and educational software learning context. - Evaluate only the provided code topic and the two explanation texts. - Do not add unprovided runtime, version, file structure, project context, or test result details as confirmed information. - Instead of presenting one tool as generally better, separate the strengths and improvement areas of the provided explanations. - List technical points that may need to be reviewed based on the user’s own environment. - Prepare the output as an editable comparison draft that helps the learner understand the topic more clearly. Output format: 1. Short comparison summary 2. Purpose of the code or topic 3. Strengths of the ChatGPT explanation 4. Strengths of the Claude explanation 5. Step-by-step explanation comparison 6. Example use and practicality comparison 7. Beginner-fit assessment 8. Missing or review-needed points 9. Which explanation may fit which use case? 10. Improved explanation draft using both explanations 11. New prompt suggestion for getting a better code explanation 12. Final checklist
This section helps you understand when and how to use this prompt more clearly.
This prompt helps compare code explanations from AI tools such as ChatGPT and Claude. It reviews the two explanations based on clarity, step-by-step structure, example use, practicality, and learning value.
It is useful for people learning code, beginners in software, users trying to understand technical topics with different AI tools, educators creating software learning content, and anyone who wants to review code explanations more clearly.
Use it when you receive two different explanations for the same code or technical topic from ChatGPT and Claude and want to see which one is clearer, more educational, or more practical.
A user may ask both ChatGPT and Claude to explain a Python for loop. This prompt can compare the two explanations based on beginner fit, example quality, and step-by-step clarity.
For a clearer comparison, include the code or topic, both explanations, and the learner level. Instead of only saying compare, write compare clarity and example quality for a beginner.
Can this prompt compare two code explanations in a table?
Yes. It can compare criteria such as clarity, structure, example use, and learning value in a table.
Can this prompt create a clearer code explanation?
Yes. It can create an editable improved explanation draft using the strengths of both explanations.
This example shows how the prompt can compare two code explanations prepared by ChatGPT and Claude.
The ChatGPT explanation shows the code structure more directly. The Claude explanation uses an analogy that makes the concept easier to imagine. For a beginner, combining both approaches can create a more educational explanation.
The code example is clear. It directly explains that a for loop takes items from a list one by one. It gives a short description of what the code does.
It uses an analogy to make the idea easier to understand. It explains the relationship between a list and a loop in simple language for beginners.
| Criteria | ChatGPT explanation | Claude explanation | | --- | --- | --- | | Code example | Shows code more clearly | Less code-focused | | Concept explanation | Direct explanation | Analogy-based explanation | | Beginner fit | Suitable | Very suitable | | Practicality | Closer to running code | Closer to understanding logic |
This example is an editable draft for comparing ChatGPT and Claude code explanations. The user can adapt the evaluation based on the real code, runtime, and learner level.
Adding both explanations for the same code or topic helps create a more consistent comparison.
Defining the learner level helps review whether the explanations fit beginners or intermediate users.
Writing the comparison focus clearly helps shape the result around clarity, example quality, or step-by-step explanation.
Before using the improved explanation draft, review the code based on your own runtime and project context.
Yes. When the user provides code explanations from both tools, it can compare clarity, structure, example use, and learning value.
Instead of ranking models in general, it explains which of the provided explanations may fit which use case.
Yes. Based on the learner level, it can show which explanation is easier to understand and which parts can be simplified.
Yes. After the comparison, it can suggest a clearer, step-by-step prompt that the user can test again.
Prompts are for illustration only. Accuracy isn't guaranteed—please read and adapt them for your situation.
This prompt is for general purposes. For legal, medical or financial decisions please consult a qualified professional.
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Read moreBoth explanations can add a note about indentation. The output can be shown line by line. The difference between the list, variable, and temporary loop variable can be clarified.
A Python for loop is used to go through the items in a list one by one. You can think of a list as a box that contains several items. The for loop takes each item from that box and applies the same action to it. Example: items = ['pen', 'notebook'] for item in items: print(item) In this code, items is a list. item is a temporary name that represents each list item during the loop. In the first round, item becomes 'pen' and gets printed. In the second round, item becomes 'notebook' and gets printed.
Explain the Python for loop for a beginner. First, use a simple everyday analogy, then give a short code example. Explain each line of the code. Show what the output will be. Add common points of confusion and a mini practice task at the end.
Is the code topic clear? Do both explanations cover the same topic? Was the learner level considered? Is the code example understandable? Can the improved explanation be edited by the user?