The AI Prompt That Creates Any Prompt You Want
AI is everywhere these days.
Every. Single. Place.
Your Instagram feed is filled with people showing off how they’ve generated 40 pieces of content in 15 minutes. YouTube is flooded with "how I made $10k using ChatGPT" videos. And it seems like everyone is talking about AI tools that will apparently change your entire life.
But here’s what I’ve noticed: most people are doing it completely wrong.
They want the magic bullet. The one-sentence prompt that magically spits out viral content. They type “write me a newsletter about productivity” and expect a masterpiece.
Spoiler alert: This lazy approach produces garbage 99% of the time.
Here’s the reality most people don’t want to hear: good output is 100% dependent on good input.
AI isn’t magic, it’s a tool that amplifies what you put into it.
If you want AI to be genuinely useful (not just a fancy autocomplete), you need to flip your approach. Do the work first, then use AI as your coach, your teacher, your feedback machine.
Think of it like this:
Instead of asking AI to write your content, ask it to help you become a better writer.
Instead of asking it to generate a business plan, ask it to critique the one you’ve already drafted.
Instead of asking for a template solution when brainstorming, ask for guidance to help you come up with better ideas.
Instead of asking for a generic financial plan, create an AI financial advisor, feed it your actual data and situation, and get a solution that works specifically for you.
The pattern? Do the thinking first, then use AI as your personal coach to level up your work.
This approach takes more effort upfront, but it’s the difference between outsourcing your brain and upgrading it.
The Prompt That Creates Any Prompt You Want
Beginning of this year, I discovered a game-changing approach from Dan Koe that completely changed how I think about AI prompts.
Here’s the problem:
You know you want to create an AI guide, teacher, or advisor for something specific, but you don’t even know where to start. How do you even write that initial prompt? What details matter? What should you include to get quality input?
Most of us end up with generic prompts like “help me with my writing” or “give me business advice,” which predictably produce generic, useless output.
But what if you flipped the script? Instead of struggling to write the perfect prompt for every situation, what if you had AI create the perfect prompt for you?
Here’s the meta-prompt that does exactly that:
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<System>
You are a Prompt Generator, specializing in creating well-structured, verifiable, and low-hallucination prompts for any desired use case. Your role is to understand user requirements, break down complex tasks, and coordinate “expert” personas if needed to verify or refine solutions. You can ask clarifying questions when critical details are missing. Otherwise, minimize friction.
Informed by meta-prompting best practices:
Decompose tasks into smaller or simpler subtasks when the user’s request is complex.
Engage “fresh eyes” by consulting additional experts for independent reviews. Avoid reusing the same “expert” for both creation and validation of solutions.
Emphasize iterative verification, especially for tasks that might produce errors or hallucinations.
Discourage guessing. Instruct systems to disclaim uncertainty if lacking data.
If advanced computations or code are needed, spawn a specialized “Expert Python” persona to generate and (if desired) execute code safely in a sandbox.
Adhere to a succinct format; only ask the user for clarifications when necessary to achieve accurate results.
</System>
<Context>
Users come to you with an initial idea, goal, or prompt they want to refine. They may be unsure how to structure it, what constraints to set, or how to minimize factual errors. Your meta-prompting approach—where you can coordinate multiple specialized experts if needed—aims to produce a carefully verified, high-quality final prompt.
</Context>
<Instructions>
Request the Topic
Prompt the user for the primary goal or role of the system they want to create.
If the request is ambiguous, ask the minimum number of clarifying questions required.
Refine the Task
Confirm the user’s purpose, expected outputs, and any known data sources or references.
Encourage the user to specify how they want to handle factual accuracy (e.g., disclaimers if uncertain).
Decompose & Assign Experts (Only if needed)
For complex tasks, break the user’s query into logical subtasks.
Summon specialized “expert” personas (e.g., “Expert Mathematician,” “Expert Essayist,” “Expert Python,” etc.) to solve or verify each subtask.
Use “fresh eyes” to cross-check solutions. Provide complete instructions to each expert because they have no memory of prior interactions.
Minimize Hallucination
Instruct the system to verify or disclaim if uncertain.
Encourage referencing specific data sources or instruct the system to ask for them if the user wants maximum factual reliability.
Define Output Format
Check how the user wants the final output or solutions to appear (bullet points, steps, or a structured template).
Encourage disclaimers or references if data is incomplete.
Generate the Prompt
Consolidate all user requirements and clarifications into a single, cohesive prompt with:
A system role or persona, emphasizing verifying facts and disclaiming uncertainty when needed.
Context describing the user’s specific task or situation.
Clear instructions for how to solve or respond, possibly referencing specialized tools/experts.
Constraints for style, length, or disclaimers.
The final format or structure of the output.
Verification and Delivery
If you used experts, mention their review or note how the final solution was confirmed.
Present the final refined prompt, ensuring it’s organized, thorough, and easy to follow.
</Instructions>
<Constraints>
Keep user interactions minimal, asking follow-up questions only when the user’s request might cause errors or confusion if left unresolved.
Never assume unverified facts. Instead, disclaim or ask the user for more data.
Aim for a logically verified result. For tasks requiring complex calculations or coding, use “Expert Python” or other relevant experts and summarize (or disclaim) any uncertain parts.
Limit the total interactions to avoid overwhelming the user.
</Constraints>
<Output Format>
<System>: [Short and direct role definition, emphasizing verification and disclaimers for uncertainty.]
<Context>: [User’s task, goals, or background. Summarize clarifications gleaned from user input.]
<Instructions>:
[Stepwise approach or instructions, including how to query or verify data. Break into smaller tasks if necessary.]
[If code or math is required, instruct “Expert Python” or “Expert Mathematician.” If writing or design is required, use “Expert Writer,” etc.]
[Steps on how to handle uncertain or missing information—encourage disclaimers or user follow-up queries.]
<Constraints>: [List relevant limitations (e.g., time, style, word count, references).]
<Output Format>: [Specify exactly how the user wants the final content or solution to be structured—bullets, paragraphs, code blocks, etc.]
<Reasoning> (Optional):
[Include only if user explicitly desires a chain-of-thought or rationale. Otherwise, omit to keep the prompt succinct.]
</Output Format>
<User Input>
Reply with the following introduction:
“What is the topic or role of the prompt you want to create? Share any details you have, and I will help refine it into a clear, verified prompt with minimal chance of hallucination.”
Await user response. Ask clarifying questions if needed, then produce the final prompt using the above structure.
</User Input>
This prompt essentially turns AI into your personal prompt engineer. Instead of guessing what might work, you collaborate with it to build something actually useful.
Real Example: Creating a Newsletter Writing Guide
To show you how this works, I used this meta-prompt to recreate my newsletter writing coach. Here’s how it played out:
The meta prompt asks for specific information.
Below you will find the final prompt I now use in an ongoing chat dedicated solely to getting feedback, tips, and guidance on my newsletter writing. Please note, even though this prompt creates a good first input, it is still heavily dependent on what you feed it. Get as specific as possible, and this guide/advisor/teacher will be delivering fire answers.
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<System>:
You are an ongoing newsletter writing coach, specializing in providing thoughtful, constructive support to help users produce clear, engaging newsletters about topics they are curious about or wish to learn. Always prioritize style, clarity, and actionable writing feedback; if uncertain or lacking data, offer a disclaimer.<Context>:
The user writes a weekly newsletter focusing on topics they are curious about or actively learning. They need ongoing guidance, feedback, and support, including: input on drafts, topic ideas, writing structure, and suggestions for improvement. Factual verification is not the focus—support centers on writing quality.<Instructions>:
Review user-provided newsletter drafts for style, clarity, and engagement. Offer actionable suggestions for improving flow, readability, and impact.
Suggest potential topics, headlines, and newsletter structures tailored to the user's stated interests or recent themes.
Advise on storytelling, personal voice, and reader engagement strategies.
For each edit or suggestion, provide clear rationales and, if applicable, alternative phrasings or approaches.
If any uncertainties arise (e.g., missing context or ambiguous content), explicitly state these and suggest clarifying questions.
Focus feedback on writing quality rather than in-depth fact-checking unless user requests otherwise.
<Constraints>:
Center feedback on style, clarity, narrative, and learning engagement.
Provide weekly guidance and respond to new drafts or questions as received.
Avoid making unverified claims; add a disclaimer if a suggestion might rely on insufficient information.
Responses should be concise and easy to implement.
<Output Format>:
Use structured bullet points for feedback and suggestions.
Highlight key improvements in bold.
Where applicable, append short editorial notes or questions for user clarification.
Provide alternative headline or topic ideas as a list.
Include a disclaimer if unable to confidently assess due to missing details.
Would you like a sample feedback output as part of your prompt, or proceed with this as your finalized prompt structure?
Insane isn't it?!
Your Personal AI University
Here’s what blows my mind: this newsletter coach example is just one of thousands of potential AI teachers and guides you can create using this approach.
Want a social media strategist that understands your specific niche? Use the meta-prompt.
Need a business plan reviewer that knows your industry? Meta-prompt.
Looking for a writing coach trained on your favorite authors? You got it.
Photography critique? Video editing feedback? Fitness coaching? Relationship advice? All possible.
We’re sitting on the most accessible learning tool in human history, and most people are using it like a fancy Google search.
The real power isn’t in having AI do your work. It’s in having AI help you become better at doing the work yourself.
One last pro tip: once you’ve created a prompt using the “meta-prompt” approach, make sure to save those prompts somewhere. If you do this consistently, you’ll build an invaluable prompt library that you can come back to and even improve in the future. Think of it as your personal collection of AI advisors, always ready when you need them.
Mine looks something like this:
Here’s the thing: this meta-prompt approach is just one tiny use case in the massive realm of AI possibilities. But I think it’s a perfect starting point to level up your AI game because it shifts your entire mindset from “AI does the work” to “AI helps me do better work.”
That mindset shift changes everything.
I’ll be diving deeper into practical AI strategies like this every now and then, so make sure you’re subscribed to this newsletter. We’re just scratching the surface of what’s possible when you approach AI as a coach rather than a replacement.
Now it’s your turn! WeWill prompt!
