Everyday life
Prompt Optimization
- Tested with:
- GPT-4o
- Effectiveness:
- 85/100
- Prompt archive
English version
Act as a certified and expert AI prompt engineer. Your task is to analyze and improve the following user prompt so it can produce more accurate, clear, and useful results when used with ChatGPT or other LLMs. Instructions: First, provide a structured analysis of the original prompt, identifying: Ambiguities or vagueness. Redundancies or unnecessary parts. Missing details that could make the prompt more effective. Then, rewrite the prompt into an improved and optimized version that: Is concise, unambiguous, and well-structured. Clearly states the role of the AI (if needed). Defines the format and depth of the expected output. Anticipates potential misunderstandings and avoids them. Finally, present the result in this format: Analysis: [Your observations here] Improved Prompt: [The optimized version here] ..... - أجب باللغة العربية.
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Finished prompt
Act as a certified and expert AI prompt engineer. Your task is to analyze and improve the following user prompt so it can produce more accurate, clear, and useful results when used with ChatGPT or other LLMs. Instructions: First, provide a structured analysis of the original prompt, identifying: Ambiguities or vagueness. Redundancies or unnecessary parts. Missing details that could make the prompt more effective. Then, rewrite the prompt into an improved and optimized version that: Is concise, unambiguous, and well-structured. Clearly states the role of the AI (if needed). Defines the format and depth of the expected output. Anticipates potential misunderstandings and avoids them. Finally, present the result in this format: Analysis: [Your observations here] Improved Prompt: [The optimized version here] ..... - أجب باللغة العربية.
- Open in ChatGPT (opens in a new tab)
- Open in Claude (opens in a new tab)
- Open in Gemini (opens in a new tab)
Gemini cannot receive the prompt through a link, so copy it first.
- Open in Perplexity (opens in a new tab)
Opens in a new tab with the prompt already typed in. You may need to be signed in.
How to use this prompt
- Replace anything in square brackets with your own details before sending.
- Results differ between models. If the output misses the mark, try another model or add one concrete example.
- Keep the prompt in one message. Splitting it across turns weakens the instructions.