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The 6-Part GPT-5 Prompt Formula
Prompt Anatomy, Simplified
This is the only prompt structure you’ll need for the next generation of AI.
I was scrolling through my feed when I spotted a post that completely simplifies how to build a powerful prompt.
The original poster breaks down the anatomy of a perfect prompt into six core components, and I think it’s absolutely brilliant!
This framework is designed to get you precise, high-quality results every single time by giving the AI a crystal-clear blueprint to follow. No more vague outputs or frustrating revisions.
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Here’s the simple, 6-step formula this industry pro shared:
The Prompt Anatomy
Role: Start by telling the model who it should be. Is it a professional copywriter, a senior software engineer, or a travel agent? Assigning a clear role is the first step to getting an expert-level response.
Task: Be explicit about what you want it to do. Don’t just ask it to “write about marketing.” Instead, say “Write three email subject lines for a new product launch targeting millennial customers.”
Context: Give the AI all the background information it needs to succeed. This includes constraints, key details, examples of what you like (or don’t like), and any other relevant background info.
Reasoning Instruction: This is a fantastic tip. Ask the model to think step-by-step or explain its logic before giving the final answer. This forces a more logical and well-structured thought process.
Output Format: Specify exactly how you want the answer delivered. Do you need bullet points, a numbered list, a JSON object, or a narrative paragraph? Don’t leave it to chance.
Stop Conditions: Set clear boundaries. Tell the model when to stop, whether it’s by limiting the word count, the number of steps, or some other condition. This prevents overly long or irrelevant responses.
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Credit to Ruben Hassid
This structured approach is incredibly effective for getting consistent and reliable outputs. To see the full breakdown from the person who shared it, you can find the original post for more details.
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