The idea is easy to love.
You have an app in mind. You describe it to an AI, it writes the code, and suddenly the thing you have been thinking about exists on your screen.
That is the promise behind vibe coding: building software by describing what you want instead of writing every line yourself.
But there is a gap between getting something to appear on screen and getting something that actually solves your problem.
That gap is where the real work begins.
You may not be writing the code, but you still need to give the project direction. Ask someone to build “a beautiful house” without explaining how you want to live in it, and you should not be surprised when the result looks impressive but makes no sense for you.
The same applies here.
The useful shift is not from “doing the work” to “doing nothing.” It is from writing the implementation to shaping the problem, describing the workflow, and checking the result.
Start With One Problem, Not the Next Facebook
The first trap is trying to build something for everyone.
Large products have to accommodate a lot of people. That is part of their value, but it also means you often have to adapt your habits to the way the product works.
A small tool can do the opposite.
It can fit one problem you understand particularly well: your own.
Imagine a tool that takes the voice notes you record after client meetings, pulls out the tasks, and prepares them for your calendar. It does not need a social feed, a marketplace, or a dashboard with fifteen charts.
It needs to handle those notes well enough to make your day easier.
That is a much more useful starting point than asking an AI to build a complete business platform.
Keep the first version narrow. Make it useful before making it bigger.
Give It Context, Not Just Instructions
“Build me a recipe app” sounds like a request. In practice, it leaves most of the important decisions unanswered.
Who is it for? What problem should it solve? What should it avoid?
When those details are missing, the AI has to fill in the gaps. Sometimes the assumptions will be reasonable. Sometimes you will get a rating system, user profiles, and a collection of features you never needed.
Compare these two requests:
Build me a meal planner.
And:
I am a student on a tight budget. I want a simple tool where I can enter the ingredients left in my fridge and get three meal ideas that take less than fifteen minutes to prepare. Keep the interface simple. I do not need accounts, sharing, or a weekly planning system.
The second request does more than ask for software. It explains what would make the software useful.
That is the context the tool needs.
Describe What the User Actually Does
Before asking for an implementation, describe the experience.
Not the database. Not the framework. The sequence of actions someone should be able to complete.
For the meal tool, that might look like this:
- The user opens a page with one text field.
- They enter ingredients such as tomatoes, rice, and eggs.
- They press a button to request meal ideas.
- The page shows a loading state while the request is processed.
- Three suggestions appear, each with a title, preparation time, and short instructions.
Now there is something concrete to build and check.
You can look at the result and ask whether each step works. You can also notice what is missing: what happens if the field is empty, the request fails, or the ingredients are unclear?
This is where a rough idea starts becoming a usable product.
The clearer the workflow, the fewer important decisions you leave to guesswork.
Ask for Explanations You Can Use
If you do not read code, a list of modified files is not much of an explanation.
You need to understand what changed in terms of the application itself.
Make that part of the request:
Before changing anything, explain in plain English what you plan to do and how it will affect the app.
And:
Do not remove or replace an existing feature without asking me first.
After a change, ask what you should test and what remains uncertain.
Then try the application. Describe what happened, what you expected, and where the two differ. A screenshot or a precise sequence of actions can be more useful than saying “it does not work.”
This is a collaboration. The quality of your feedback matters.
It also has limits. If the application will handle payments, personal data, or other sensitive operations, a convincing demo is not enough. Get a qualified developer to review the relevant parts before relying on them.
You Are Still Responsible for the Direction
The interesting thing about vibe coding is that it lowers the barrier to trying an idea.
It does not remove the need to think clearly about that idea.
You still have to decide what matters, keep the scope manageable, and check whether the result does what you intended. Those responsibilities do not disappear because you are expressing them in ordinary language instead of code.
Start with something small enough to understand. Give it the context it needs. Build one workflow, test it, and improve it.
That may not sound as spectacular as “describe an app and launch a company.”
But it is a much better way to build something you will actually use.
And sometimes, a useful little tool is exactly where a worthwhile project begins.