Watch someone struggle with AI:
They have a vague sense of what they want. They write a prompt. They get output. It's not quite right. They tweak the prompt. Still not right. They tweak again. And again.
An hour later, they have something. They're not sure if it's good. They're not sure if it's what they actually wanted. But they're tired of iterating.
The mistake: they started prompting before they were clear on what they wanted.
The Prompt-First Problem
Prompt-first development looks like this:
1. Have vague idea 2. Write prompt 3. Get output 4. React to output 5. Tweak prompt based on reaction 6. Repeat until tired
The problem: you're navigating without a destination. Each iteration is reaction, not direction. You're letting AI's output shape your goal rather than your goal shaping AI's output.
You might end up somewhere good. You might end up somewhere mediocre that you accept because you're exhausted. There's no way to know because you never defined "good."
Intent-First Development
Intent-first development looks like this:
1. Articulate what you're trying to accomplish 2. Define what success looks like 3. Identify constraints and requirements 4. Then engage AI with clear direction 5. Evaluate output against defined success criteria 6. Iterate toward the known target
The difference: you know where you're going. Iteration is navigation toward a destination, not random wandering.
What Intent Articulation Looks Like
Before you write a prompt, answer:
**What problem am I solving?** Not "what do I want AI to produce" but "what problem does that output solve?"
**What does success look like?** If I got exactly what I needed, what would it be? Be specific.
**What are the constraints?** Length, format, tone, compatibility, technical requirements.
**What am I NOT trying to do?** Boundaries help as much as targets.
Write this down. One paragraph is often enough.
The Payoff
Intent clarity pays off in multiple ways:
**Better prompts.** When you know what you want, you can ask for it clearly. Vague intent produces vague prompts produces vague output.
**Faster iteration.** Each iteration has a target. You can assess: did we get closer? Iteration is directed, not random.
**Better evaluation.** You have criteria for "good." You can tell when you've arrived. No more "is this good enough? I can't tell."
**Preserved knowledge.** The intent documentation persists. Future work can reference it. Others can understand what you were trying to accomplish.
The Uncomfortable Part
Articulating intent is hard.
It's easier to start prompting and see what happens. It feels productive. You're doing something.
Articulating intent feels slow. You're "just thinking." You haven't produced anything yet.
But the time spent on intent saves time on iteration. The thinking clarifies the doing.
Most people skip it because it's uncomfortable, not because it's inefficient.
A Simple Practice
Before your next AI task, take two minutes:
Write down: - What I'm trying to accomplish: [one sentence] - Success looks like: [specific description] - Constraints: [list]
Then prompt.
Notice the difference. The prompts are clearer. The iterations are more directed. The output is better.
Two minutes of intent articulation. Orders of magnitude better results.