How to Write Vibecoding Prompts That Actually Work
- Klaude Furlong
- Jul 12
- 7 min read
Updated: Jul 13
Most vibecoding failures aren't technology failures. They're communication failures. The AI tool can build almost anything you can clearly describe. The problem is that most people don't know how to describe what they want with enough precision to get a useful first result.
This guide breaks down exactly how to write vibecoding prompts that produce results, from your first build description through the feedback loop that turns a rough draft into something that actually works.
Here's what we'll be covering in today's article:
Vibecoding prompts that work share four qualities.
1) They describe the outcome not the mechanism.
2) They specify the main screen and the main action.
3) They include at least one concrete example of the data involved.
4) They give the AI a sense of who the user is.
Prompts that include all four produce a working first version far more often than prompts that skip any of them.
Why Most Vibecoding Prompts Fail
Most vibecoding prompts fail because they describe what the tool should do instead of what it should produce. 'Build me a CRM' is a category, not a description. 'Build me a simple tool where I can add client names and notes, see them in a searchable list, and mark each client as active or inactive' is a prompt that produces a usable first version.
The AI has no context about your work, your industry, or what problem you're actually trying to solve. It makes assumptions to fill the gaps. When those assumptions don't match what you needed, the result looks wrong, but the failure was in the description, not the build.
The other common failure is scope creep in the initial prompt. When you ask for too many features at once, the AI builds something technically complete but hard to iterate on. Start smaller than you think you need to. You can always add features. You can't easily undo a bloated first build.
For the full context on what vibecoding is and how it works, read What Is Vibecoding? The Complete Guide for Non-Technical Professionals.
The Four Elements of a Prompt That Works
A vibecoding prompt that consistently produces good first versions has four elements: outcome description, screen description, action description, and a data example. Every one of these matters. Prompts that skip even one element produce results that need significantly more iteration to fix.
1. Outcome description
State what the tool does in one sentence. Not how it works, what it produces. 'A tool that helps me track client onboarding progress' is an outcome. 'A tool that uses a checklist system with status flags' is a mechanism. Describe the outcome.
2. Screen description
Describe the main screen the user sees when they open the tool. What's on it? A list? A form? A dashboard? Be specific about layout only when it matters to you. 'The main screen shows a list of clients with their name, status, and last contact date' gives the AI enough to work with.
3. Action description
Describe the main thing a user does. 'Users can add a new client by clicking Add Client and filling in a short form' tells the AI what the primary interaction is. Include what happens as a result: 'The new client appears in the list immediately.'
4. A data example
Give the AI one concrete example of the actual data involved. 'For example, a client named Sarah Chen, status Active, last contacted June 3.' This is one of the most underused prompt elements. Concrete examples remove ambiguity faster than any additional description.
How to Describe Your Main Screen
Your main screen description is the single most important part of your initial prompt. It tells the AI what 80 percent of the app looks like. A good main screen description covers the layout, the key information displayed, and the primary action available.
You don't need design vocabulary. Describe it the way you'd describe a spreadsheet or a web page to a smart colleague. 'A clean list with one row per subscription. Each row shows the name, monthly cost, next renewal date, and a colored dot, green for more than 30 days away, yellow for within 30 days, red for this week.'
That description is from the initial Lovable prompt I used when building My SubsTracker Vault. The first version came back with exactly that structure. I spent the next two hours refining the colors, the sort order, and the notification behavior, not rebuilding the basic layout from scratch.
What to leave out of the screen description
Leave out anything you don't care about. Font choices, exact color values, spacing, and button labels can all be refined later. If you specify too many details upfront, the AI treats them all as constraints and produces something rigid. Describe the structure. Let the AI make reasonable defaults. Change the ones that are wrong.
If you haven't started your first build yet, How to Build Your First App with Vibecoding walks through the full process step by step.
Iteration Prompts: How to Give Feedback That Improves the Build
Your first prompt gets you a draft. Iteration prompts get you a working tool. The quality of your iteration prompts determines how fast you get there. Good iteration prompts are specific, describe one change at a time, and frame the request as an outcome.
The pattern that works consistently: 'Currently [what you see]. I want [what you want to see instead].' Simple. Direct. One thing at a time. 'Currently the list sorts by date added. I want it sorted by renewal date, soonest first.' That's a one-sentence iteration prompt that produces a precise fix.
When the AI keeps getting it wrong
If the AI misunderstands the same thing three times in a row, try describing it from the user's perspective rather than the system's perspective. Instead of 'add a filter for upcoming renewals,' try 'when I click the Upcoming tab, I should only see items renewing in the next 30 days, sorted by date.'
The shift from system perspective to user perspective removes ambiguity about how the filter is supposed to work. The AI doesn't have to guess at the implementation, it can derive it from the experience you've described.
What to do when a change breaks something
Most vibecoding tools let you revert a change if it breaks something that was working. Use this feature. If a new revision introduces a bug, revert before adding more changes. Stacking changes on top of a broken state makes the root cause much harder to diagnose.
Prompt Templates You Can Use Right Now
These templates are starting points. Fill in the brackets with your specifics. Each one is built on the four-element structure and produces working first versions reliably.
Template 1: Tracker or log
'Build a [type] tracker for [who]. The main screen shows a list of [items] with [key fields]. Users can add a new [item] by clicking [button name] and entering [fields]. Items can be [key action - marked complete, archived, filtered]. For example: [one concrete data row].'
Template 2: Client or contact tool
'Build a simple client management tool for a [type of business]. The main screen shows a list of clients with [fields]. Clicking a client shows their [detail view with fields]. I can add notes to each client and mark them as [status options]. For example, a client named [name], status [status], last note: [example note].'
Template 3: Dashboard or report
'Build a dashboard that shows me [what metrics]. The main view has [number] key numbers at the top: [metric names]. Below that, a [list/table/chart] showing [detail view]. Data comes from [how user enters it - a form, a CSV upload, manual entry]. For example, today's data would show: [example numbers].'
The Six Sigma background I bring to my consulting work taught me that a well-defined problem is 80 percent of the solution. Vibecoding prompts work the same way. Invest the time to describe the problem precisely. The build almost takes care of itself.
Frequently Asked Questions
How long should my first vibecoding prompt be?
Between 100 and 250 words for a simple app. Shorter prompts tend to produce too many AI assumptions. Longer prompts tend to create over-specified first versions that are harder to iterate on.
Focus on the four elements: outcome, screen, action, data example, and stop when you've covered all four clearly. Length is a by-product of clarity, not the goal itself.
Should I describe the design or just the function?
Describe function first. Add design details only where they matter to you. If color-coding is part of how the tool communicates information, like a red/yellow/green renewal status, describe it. If you just want it to look clean, say that and let the AI handle the specifics.
Design is easier to refine in iteration than structure is. Get the structure right first.
What if I don't know what I want until I see it?
That's normal. Write the best description you can, generate a first version, and use what you see to clarify what you actually want. The first version is a thinking tool, not a final product.
Some people find it helpful to write a rough description, ask the AI to repeat it back in different words, and use that restatement as their actual prompt. The restatement often catches gaps in the original.
Vibecoding prompts aren't about technical language. They're about precision. The more clearly you can describe what you want, the screen, the action, the data, the faster the build converges on something useful.
For a full picture of what's possible with vibecoding, start with the detailed guide: What Is Vibecoding? The Complete Guide for Non-Technical Professionals.
If you're ready to see where AI could give you the biggest advantage, click the image below and book your first AI Clarity call and walk away with a ton of value on where to start implementing AI in your life & business for the greatest return on investment.
