Writing Prompts That Actually Work

Why Most First Prompts Fail

The most common mistake in vibe coding is treating the first prompt like a search query -- short, vague, and hopeful. "Build me a task app" will produce something functional but generic. It won't match what you had in mind, and you'll spend three times as long fixing it as you would have spent writing a clearer prompt from the start.

The AI can only work with what you give it. Vague input produces vague output. Specific input produces specific output. That's not a flaw in the AI -- it's just communication. The good news: writing a stronger prompt is a learnable skill, and it gets fast with practice.

The Four Parts of a Strong Opening Prompt

A well-built vibe coding prompt answers four questions before the AI touches a single line of code:

• What is this app for? One sentence on the purpose and who uses it.
• What are the core features? List them as numbered items -- not paragraphs. Numbered lists give the AI a clear checklist to work through.
• What should it look like? Color scheme, layout style, visual tone. "Clean and minimal with a white background" is useful. "Nice" is not.
• What are the constraints? Should data persist after a page refresh? Is there anything you definitely don't want included?

Here's the difference those four parts make:

Weak: Build a recipe app where I can save and find recipes.

Strong: Build a personal recipe manager. Features: (1) Add a recipe with name, ingredients list, and step-by-step instructions. (2) Browse saved recipes in a card grid with a photo placeholder. (3) Search recipes by name or ingredient. (4) Mark favorites with a star icon. Design: clean white background, simple sans-serif font, card layout. Data must persist across page refreshes.

The strong version takes an extra 45 seconds to write and consistently produces a first version that's 90% of the way there instead of 60%.

Scope It Right: The MVP Mindset

The second most common mistake is trying to describe your full vision in the first prompt. Your opening prompt should describe the smallest useful version of your idea -- not everything it could eventually be.

Ask yourself: what's the one thing this app needs to do to be useful today? Build that first. Then add more in follow-up prompts once the core is working.

Trying to build everything at once leads to a half-finished app with six broken features. Tight scope leads to one polished feature that works -- and momentum to keep going.

Too much for one prompt: Build a full CRM with contacts, deal pipeline, email integration, activity logging, task reminders, and team sharing.

Right scope to start: Build a contact list where I can add contacts with name, company, and last-contacted date. Show them in a sortable table. That's it for now.

Once the contact list works perfectly, you can ask for the pipeline, then the email integration, one step at a time.

Follow-Up Prompts: How to Ask for Changes That Land

Your follow-up prompts are just as important as your opening one. A few rules that make a big difference:

• One change at a time. Don't bundle five requests into one message. The AI will nail three and quietly skip the others.
• Describe the problem, not your guess at the solution. "The search bar isn't returning any results" is better than "fix the search function in the database." Describe what's wrong and let the AI diagnose it.
• Name specific elements. "The blue button in the header" is clearer than "that button." The more specific your reference, the less room for misinterpretation.
• Say what to keep. If you like something, protect it: "Change the card layout but keep the color scheme and fonts exactly as they are."

Your Turn: Rewrite Your Prompt

Go back to the app idea you've been working with. Rewrite your opening prompt using the four-part structure from this lesson: purpose, numbered features, design description, constraints.

If your original prompt was one or two sentences, the rewrite should be five to eight sentences or a numbered list. That level of detail is what produces a first version you're actually happy with.

In the next lesson, you'll learn what to do when things go wrong -- because at some point, they will. Knowing how to debug and recover is what separates vibe coders who ship from those who give up on the third iteration.