Prompt Architecture

Stop treating AI prompts like wishes—use the CRIT framework to design structured prompts.

Prompting Isn’t Magic. It’s Architecture.

This is page 3 of 5 in your journey from frustration to fluency.
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Let’s say you asked Claude to write a blog post about remote work trends.

Predictably, what you got was a padded wall of generic insight: bland, safe, and instantly forgettable. The kind of content that makes you cringe—and wonder if you’re doing something fundamentally wrong.

Is this what I sound like? No wonder it doesn’t feel like mine.

You’re not broken. But that cringe? It’s trying to tell you something.

Most founders treat prompting like a wish—not a plan. So they sit there, staring at the screen, fingers crossed, hoping the next try will finally ‘get it right.’ And when it flops, they wonder if they’re the problem.

That’s why it feels like magic when it works—and like nonsense when it doesn’t.

But it’s not magic. And it’s not nonsense.

Prompting is design.

The Problem Isn’t the AI

Most founders treat prompts like magical incantations. They type. They hope. They wait for the AI to get it. When the output disappoints, they assume they need a better model, more tokens, or different software.

They’re solving the wrong problem.

The issue isn’t the carpenter—it’s the blueprint.

Prompting Is Design, Not Magic

You’re not casting spells—you’re designing systems. Prompts aren’t magic words; they’re blueprints for the output you want.

Prompt Architecture Principle #1: Design, don’t wish.

Think of it this way: Your prompt is the blueprint. The AI? The builder. The result? A house. And if you don’t specify what you’re building, the AI fills in the blanks with generic scaffolding. The bones may hold—but it won’t feel like home.

Good Prompts Are Modular

Good prompts aren’t mysterious. They’re modular. They have clear components that work together toward a specific outcome. You can swap pieces, test variations, and iterate systematically without starting from scratch each time.

This is craft, not chance.

When your prompt has clear parts, you can control the outcome. But when it doesn’t…

Why Random Output Means Missing Structure

Here’s what the AI doesn’t know if your prompt leaves it blank:

  • Who’s reading this
  • What problem you’re solving
  • What outcome you want
  • How it should sound

Without those constraints, it defaults to the statistically average—and that means generic.

And that’s why it reads like filler.

It doesn’t know your reader—or you.

It’s just guessing.

That’s why it reads like it remembers syntax — but forgets the soul behind it.

And without that guidance, the AI reverts to bland.

That’s why structure matters—and why this system is built on four essential components.

We call them CRIT.

Enter CRIT: The Framework Behind Founder Copy Engine

Good prompts have four structural pillars. Together, they form the framework we’ll return to throughout this system: CRIT.

Context: Ground the Prompt in Reality

The situation this copy serves. Is it a landing page? An email? Who’s the audience? Is this for skeptical first-time visitors? Warm email subscribers? People comparing solutions?

Role: Define the Voice and Perspective

The voice and perspective. Is the AI taking on the role of the technical founder explaining how things work? The empathetic guide, speaking from experience? Or the no-nonsense expert cutting through the noise?

Interview: Clarify with Strategic Questions

The questions that surface what you actually need. What pain points matter most? What objections will readers have? What language do they use? This is the true “magic” of CRIT that gives you such excellent results.

Task: Specify the Output You Want

The specific deliverable. Not “write something good” but “write three headlines that immediately signal who this is for and why they should care.”

Compare these two approaches:

Vague Prompt

“Write a blog post about email marketing for small businesses.”

Structured Prompt (with CRIT)

Context: This is for overwhelmed solopreneurs who think email marketing means being pushy.

Role: You’re acting in the role of a fellow founder who figured out how to build genuine relationships through email.

Interview: Ask me one question at a time until you understand the goal and task.

Task: Write an opening that acknowledges their resistance and reframes email as relationship-building, not selling.

Same topic. Totally different universe.

What changed? The structure. Each part of CRIT constrains the prompt just enough to create intentionality.

And when you build prompts this way, something changes:

You’re Not Casting Spells. You’re Designing Outcomes.

The difference between these two prompts isn’t talent or luck—it’s structure. And when you prompt with CRIT:

  • You direct instead of guess. You know what you’re asking for and why.
  • You iterate without starting over. Adjust one variable at a time instead of rebuilding from scratch.
  • You grow in confidence. The system works—and you can guide it.

No more randomness. No more guessing.

You’re the architect now.

You’re not reacting. You’re composing. This is no longer guesswork — it’s creative direction with intent. You’re not just hoping—it’s working.

🧠 What You Just Learned

  • Prompting isn’t guessing—it’s system design
  • Generic output? That’s a missing structure problem
  • CRIT gives you four pillars. Clear. Modular. Repeatable.

Structure gives your prompts bones. But voice? Voice gives them breath.

That’s where we go next: how to make your copy sound like you — everywhere.

Continue to: Sound Like You — At Scale →