Write One Prompt. Get 10x Results.

Use this 5-part prompt structure to get clear, useful answers every time.

Jan 25, 2026

Back from holidays! I hope you all had a good break and are now back to building amazing businesses. Enjoy our first 2026 edition with my favorite new prompt template ;)

In this edition:

🔷 A simple 5-part prompt framework (S.C.O.P.E.) to get sharper AI output with less back-and-forth

🔷 How defining who the AI is instantly improves relevance, tone, and usefulness

🔷 How better prompting forces clearer thinking, even when you’re not using AI

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I used to think I was good at writing prompts.

Then chatGPT became terrible, and I had to up my prompting game.

I realized then I used to treat prompts like an afterthought:

“Write a pitch.”
“Summarize this.”
“Give me ideas.”

And in fairness, most people do… But that doesn’t work anymore.

It’s like walking into a room full of experts and shouting “help” without context, goals, or constraints. You might get something back, but it just won’t be what you actually need.

When ChatGPT went south, I did a lot of research on how you can actually prompt LLMs to get GREAT results.

And it (mostly) boiled down to one thing, you thinking very clearly about what you need before asking for help.

It sounds obvious, but very few of us know how to do this well, or harness it to 10x your work as a founder.

So how do you think clearly about what you need from your LLM? You need to share with it 5 crucial pieces of information.

Let me tell you how to do this.

A good prompt does something different.

It sets the room. It explains why you’re there. It tells the expert how to think, what success looks like, and what to avoid.

Based on the collective wisdom of the experts out there, if you want better output, you need to define five things upfront.

Who the AI should be.
What you want it to do.
Why you want it.
The boundaries it should respect.
And what “good” looks like to you.

That’s where S.C.O.P.E. came from:

Setting - Command - Objective - Parameter - Examples.

(If this framework goes famous… remember it started here first folks.)

Most prompts miss these.

So let’s break down how you can now create amazing prompts as a founder today.

First, Setting.

This is where you define who the AI is supposed to be at this moment.

Not “you are ChatGPT”. that tells it nothing.
Think of this as assigning a role in a room.

You are a seasoned startup advisor who has helped 100+ early-stage founders raise funding and find PMF.
You are a sharp but practical product leader who has launched multiple B2B SaaS products.
You are a former VC and operator who reviews pitch decks weekly and knows what gets a first meeting.

Now the AI knows what lens to use. What patterns to draw from. What to ignore.

Tone improves instantly. So does relevance.

Second, Command.

This is the task. One sentence. Clear and boring is fine, preferred even.

Write a one-paragraph elevator pitch for my startup.
Review this landing page and suggest improvements.
Generate 5 sharp talking points for an investor intro call.

Not three tasks mashed together. Not a paragraph explaining your life story. Just the job.

If you can’t state the task cleanly, the output will be messy.

Make sure you spend enough time refining what your command is.
If it’s too complex, break it down. If you want it to do too many things, then this should go out as multiple prompts, not a single one.

Third, Objective.

This is the part most people skip, and it’s the most important one.

Why are you doing this?

The goal is to explain our startup clearly to investors and get a first meeting.
The goal is to shorten our sales cycle by improving clarity.
The goal is to attract early adopters who feel the problem strongly.

This changes everything.

Without an objective, the AI optimizes for completeness. With one, it optimizes for impact.

It starts making tradeoffs. It cuts what doesn’t serve the goal. It sharpens what does.

Fourth, Parameters.

This is where you put the guardrails.

Keep it under 50 words.
Focus on clarity and impact.
Use analogies when relevant.
Avoid jargon.
Sound confident, not hypey.

Constraints don’t limit creativity. They direct it.

And finally, Examples.

This is where you show, not tell.

Here’s an example I like: ‘We help small hotels become Airbnb-level operators with zero tech know-how.’”
Example structure: problem → consequence → simple solution.
Attached our pitch decks that resonate with us for reference.

Examples anchor taste, and LLMs LOVE these.

Provide as much reference material as needed, including attachments that clarify what you’re looking for.

These examples tell the AI what good feels like, not just what it should technically do.

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Once you put all five together, something interesting happens.

The output doesn’t just get better, it gets closer to what you were looking for. Less editing. Less back and forth. Less frustration.

And here’s the part I didn’t expect at ALL.

S.C.O.P.E. made me think better, even when I was not using AI.

Because to write a good prompt, you have to answer hard questions first.

What am I actually trying to achieve?
Who is this for?
What matters, and what doesn’t?
What does “good” look like?

That’s not prompting anymore. That’s clarity.

AI punishes you when you don’t have clarity

If you’ve ever felt like an AI tool is overhyped, or that its output feels generic, it might simply be because you’re not telling it what you need.

Remember:

Garbage prompt ➡️ garbage thinking ➡️ garbage output.

Clean prompt ➡️ clean thinking ➡️ surprisingly sharp results.

Simple. Not easy.

So before you open your next chat box, try S.C.O.P.E, then hit enter.
You’ll be shocked how much better the conversation gets.

Would you try S.C.O.P.E. on your next prompt (yes/no)?

More?

Hi, I’m Majd. I help early-stage founders with:

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