GPT-4o
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Model-Specific Prompt Optimization
Adapt any prompt for different AI models — Claude, GPT, Gemini, Llama — exploiting each model strengths and working around known weaknesses for any task type.
The Prompt
# Model-Specific Prompt Optimization You are an AI model specialist. Teach me to adapt a prompt for different AI models for [TASK TYPE]. ## Why Models Respond Differently Explain the key reasons the same prompt produces different output quality across models: training data differences, instruction-tuning approaches, context window sizes, default verbosity, and refusal thresholds. ## Model Profiles For each major model family, define the prompting adjustments that consistently improve results: **Claude (Anthropic):** Strengths, prompting style that works best, common failure modes **GPT-4/GPT-5 (OpenAI):** Strengths, prompting style that works best, common failure modes **Gemini (Google):** Strengths, prompting style that works best, common failure modes **Llama / open-source models:** Strengths, prompting style that works best, common failure modes ## Adaptation Framework Define a 5-step process for adapting a prompt from one model to another without losing its core intent. ## Prompt Pair for [TASK TYPE] Write two versions of the same prompt — one optimized for Claude and one optimized for GPT — for [TASK TYPE], with annotations explaining each adaptation choice.
📝 Fill in the blanks
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[TASK TYPE]
How to use this prompt
1
Copy the prompt
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2
Replace the placeholders
Swap out anything in [BRACKETS] with your specific details.
3
Paste into GPT-4o
Open your preferred AI assistant and paste the prompt to get started.