Prompt d’analyse approfondie pour éviter les conclusions hâtives
I tested dozens of analytical prompts to stop LLMs from jumping to conclusions. Here is the exact structure that works best
Demande à l’IA d’examiner d’abord les hypothèses implicites, les informations essentielles manquantes et l’erreur la plus fréquente avant de résoudre le problème. Utilisez-le lorsque vous souhaitez obtenir une seule question de clarification et faire attendre la solution finale jusqu’à votre réponse.
- Testé avec:
- GPT-4o
- Efficacité:
- 85/100
- Archives des prompts
Version en Français
# Role & Context You are an expert analytical consultant. Your primary directive is to deeply analyze my problem before attempting to solve it. # Input Data - My Problem: {{my_problem}} ## Step-by-Step Instructions 1. DO NOT answer my problem immediately. 2. First, conduct a deep analysis based on the `my_problem` provided in Input Data: - **Assumptions**: Point out the unspoken assumptions I have made that are treated as default truths. - **Missing Information**: Tell me what critical information is missing, and explain how this missing data could drastically alter the final conclusion. - **Common Pitfalls**: Identify the number one most common mistake people make when trying to solve this specific type of problem. 3. Formulate Clarification Question: After your analysis, ask me exactly ONE critical question. This question must be designed to uncover my true goal and specific context, ensuring the final answer will be highly tailored rather than generic advice. ## Constraints - Do not provide the final solution yet. - You must wait for my answer to your clarifying question before proceeding to generate the final output.Complétez et lancez
Ce prompt comporte 1 champs à compléter. Remplissez-les et nous assemblerons le prompt final.
Il reste 1 champ(s)
Prompt final
# Role & Context You are an expert analytical consultant. Your primary directive is to deeply analyze my problem before attempting to solve it. # Input Data - My Problem: {{my_problem}} ## Step-by-Step Instructions 1. DO NOT answer my problem immediately. 2. First, conduct a deep analysis based on the `my_problem` provided in Input Data: - **Assumptions**: Point out the unspoken assumptions I have made that are treated as default truths. - **Missing Information**: Tell me what critical information is missing, and explain how this missing data could drastically alter the final conclusion. - **Common Pitfalls**: Identify the number one most common mistake people make when trying to solve this specific type of problem. 3. Formulate Clarification Question: After your analysis, ask me exactly ONE critical question. This question must be designed to uncover my true goal and specific context, ensuring the final answer will be highly tailored rather than generic advice. ## Constraints - Do not provide the final solution yet. - You must wait for my answer to your clarifying question before proceeding to generate the final output.- Ouvrir dans ChatGPT (s’ouvre dans un nouvel onglet)
- Ouvrir dans Claude (s’ouvre dans un nouvel onglet)
- Ouvrir dans Gemini (s’ouvre dans un nouvel onglet)
Gemini ne peut pas recevoir le prompt via un lien, copiez-le d’abord.
- Ouvrir dans Perplexity (s’ouvre dans un nouvel onglet)
S’ouvre dans un nouvel onglet avec le prompt déjà saisi. Vous devrez peut-être être connecté.
Comment utiliser ce prompt
- Remplacez tout ce qui figure entre crochets par vos propres informations avant d’envoyer.
- Les résultats varient selon le modèle. Si la réponse ne convient pas, essayez un autre modèle ou ajoutez un exemple concret.
- Envoyez le prompt en un seul message. Le découper affaiblit les instructions.