Top Checklist Before Vibe Coding an App

Vibe coding is powerful.

But it can also make you confidently build the wrong thing.

AI coding tools make the build feel easy. You open Cursor, Lovable, Bolt, v0, Replit, Claude Code or Codex, write a prompt, and suddenly you have screens, auth, database tables, dashboards and a demo that looks like progress.

But speed does not remove product thinking.

It only exposes whether you had any.

Before I vibe code an app, I want a few things clear. Not perfect. Clear. Because if the thinking is vague, the tool will still build something. It will just build your confusion faster.

1. Who is this app actually for?

Do not write "users."

Write the real person.

Who are they? Founder, clinic owner, student, recruiter, property buyer, care coordinator, bank customer, agency operator, internal admin?

What are they trying to do?

What do they use today?

Why is that painful?

Do they care enough to change behavior?

This matters because AI tools are very good at making generic apps. Generic landing page. Generic dashboard. Generic onboarding. Generic SaaS layout. Everything looks fine, but nothing feels necessary.

If you cannot describe the user clearly, do not code yet.

2. What painful job does it do?

Start with the job, not the feature.

A useful sentence is:

This app helps [specific person] do [specific job] without [specific pain].

If you cannot complete that sentence, the product is not ready for build.

Not because the idea is bad. Because the idea is still foggy.

I see this often with AI products. The founder says, "It uses AI to automate everything." That sounds impressive, but it tells me nothing. Automate what? For whom? What is broken today? Who pays? What happens if the AI is wrong?

Technology is not the product.

The product is the painful job getting solved.

3. What is the core loop?

Before features, find the loop.

The core loop is the repeatable action where the user gets value.

Example:

• Founder enters an idea
• App turns it into a clear product brief
• Founder edits it
• Founder shares it with a team, investor or builder
• Founder comes back with the next idea or version

That is a loop.

Another example:

• Care worker logs a patient update
• Family gets notified
• Appointment or medication follow-up is tracked
• Next care action becomes clear

That is a loop.

Your first version should make the loop work. Not the whole dream. Not every feature. Just the loop.

If the loop does not work, the rest is decoration.

4. What are you trying to prove?

A first build should answer one serious question.

For example:

• Will people use this workflow?
• Will they trust the AI output?
• Will this save enough time?
• Will someone pay?
• Can this be done reliably?
• Is the user also the buyer?
• Does this create repeat behavior?

If you do not know what the build is supposed to prove, you will not know whether it worked.

You will only know that you shipped a demo.

A demo is not validation.

5. What should not be built yet?

This is where vibe coding gets dangerous.

Because the tool can build fast, every feature feels cheap.

Add login. Add teams. Add billing. Add chat. Add analytics. Add AI assistant. Add PDF export. Add admin. Add notifications. Add CRM. Add dashboard. Add dark mode.

Some of those may matter.

But not now.

Before coding, write a "not now" list. This is not a small thing. It protects the product from becoming a messy version of five different ideas.

Founders do not lose because they build too little. Many lose because they build too much before the core is proven.

6. What is version one?

Version one should be narrow, but serious.

Not cheap. Not broken. Not half-hearted.

Small in scope, serious in quality.

Ask:

• What must work?
• What can be manual behind the scenes?
• What can be ugly for now?
• What must feel trustworthy from day one?
• What would make the product unusable if missing?
• What can wait until real users ask for it?

This is the difference between an MVP and a weak product.

An MVP is not "build everything badly."

It is "build the smallest serious thing that proves the main assumption."

7. What data does the app need?

Most app ideas become more real when you ask about data.

What does the user create?

What does the system store?

What needs history?

What needs permission?

What is private?

What can be deleted?

What needs approval?

What should AI be allowed to read?

What should AI remember?

This is especially important if you are building with AI. Memory is not just a technical feature. It is a product decision.

If your app remembers the wrong thing, exposes sensitive information, or makes decisions without context, trust breaks quickly.

8. Where does human review belong?

If your app uses AI, decide what the AI can do alone and where a human must approve.

Low-risk things can be automated:

• Drafting
• Summarising
• Tagging
• Sorting
• Suggesting
• Cleaning data

High-risk things need review:

• Sending messages
• Deleting records
• Moving money
• Publishing content
• Making medical, legal or financial claims
• Updating official information
• Contacting customers

This is where product design matters.

A good AI product is not just "AI generated this."

A good AI product says: here is what the AI did, here is why, here is what you can change, and here is where you approve.

9. What is the business model?

Do not leave this until later.

You do not need a perfect financial model before version one, but you do need a believable path.

Who pays?

Why do they pay?

How often?

Is it subscription, usage, service plus software, setup fee, marketplace take rate, internal productivity saving?

Can this become recurring revenue?

Or is it just a useful tool people try once?

Products must connect user value with business value. A well-designed app with no commercial path is not a business. It is a project.

And projects are expensive to maintain.

10. Who will test it first?

Do not build for imaginary launch day.

Write the first 5 to 20 people who could test it.

Real names if possible.

If you cannot name the first testers, you probably do not understand the market yet.

And if nobody is waiting for it, maybe the first task is not coding. Maybe it is conversations, landing page, offer, waitlist, prototype, or a manual test.

Vibe coding is useful when there is something real to test.

It is less useful when you are still guessing in isolation.

11. What signal counts?

Before launch, decide what signal matters.

Not "people liked it."

People are polite.

Better signals:

• They complete the workflow
• They come back
• They invite someone
• They pay
• They ask for access again
• They use it without you explaining everything
• They are disappointed when access is removed
• They replace an existing workaround with it

That is signal.

Compliments are nice, but behavior is more honest.

12. What happens after the demo?

This is the part people ignore.

What if the demo works?

Who maintains it?

Where is it hosted?

How will bugs be handled?

How will feedback be collected?

What gets rebuilt properly?

What becomes technical debt?

What becomes the roadmap?

What happens if users want it tomorrow?

This matters because vibe coding can create the illusion of a product before you have the operating structure around it.

A demo can be fast.

A product needs responsibility.

My actual checklist

Before I vibe code an app, I want this written down:

• The specific user
• The painful job
• The current workaround
• The core loop
• The riskiest assumption
• The first version scope
• The "not now" list
• The data model
• The AI boundaries
• The human review points
• The business model
• The first test users
• The success signal
• The next step after demo

This does not need to be a big document.

One sharp page is enough.

The point is to make the thinking clear before the tool starts turning that thinking into software.

Vibe coding rewards clear operators

The advantage now is not just who can code.

AI is making that cheaper.

The advantage is knowing what should be built, why it should exist, who it is for, how it creates value, and what should not be built yet.

That is product judgment.

A clear founder can use AI tools to move very fast.

An unclear founder can also move fast, but usually toward a bigger mess.

So before you vibe code the app, pause for a bit.

Write the user.

Write the job.

Write the loop.

Write the assumption.

Write what you are not building.

Then build.

You will move faster because the code is no longer trying to compensate for unclear thinking.

If you are about to build an app with AI and want the idea pressure-tested before it turns into a messy codebase, that is exactly the kind of product clarity work I help with.