How I Build an MVP From Idea to Launch

A good MVP is not the smallest amount of code you can ship.

It’s the smallest complete product that lets a real user experience the value of the idea.

When I build an MVP, I try to avoid two extremes: spending months engineering features nobody has validated, and rushing out a prototype that looks convincing but falls apart when somebody actually tries to use it.

My process is designed around getting the core workflow into production quickly while keeping the architecture solid enough to build on.

If you’re still deciding what an MVP should cost or how long it should take, these are useful starting points:

Coming soonHow much does it cost to build an MVP in 2026?

Read nextHow Long Does It Take to Build an MVP? A Realistic Breakdown

Here’s how I approach the actual build.

Ten steps, from the problem to evidence-driven iteration.

The ten steps in order:

1. Start with the problem, not the feature list
2. Define what we are deliberately NOT building
3. Turn the workflow into a technical system
4. Build the core functionality first
5. Build the product around the core
6. Integrate external services carefully
7. Test the workflow like a user
8. Deploy it properly
9. Watch what users actually do
10. Iterate from evidence

Tap a step to jump to it. The highlighted step follows where you are reading.

1. Start with the problem, not the feature list

A project often arrives as a list of features.

Authentication. Dashboard. AI. Payments. Notifications. Profiles. Analytics.

That isn’t yet a product.

I want to understand:

• Who is using this?
• What are they trying to accomplish?
• What happens before they open the product?
• What happens after they use it?
• What is the one workflow that makes the software valuable?

Suppose someone wants to build software for recruiters.

“AI recruitment platform” is too broad.

A much more useful definition might be:

A recruiter creates a job, uploads candidates, and receives structured evaluations showing how each candidate matches the role.

Now we have a workflow.

That workflow becomes the center of version one.

2. Define what we are deliberately NOT building

This is one of the most important stages.

Every product has features that would be useful eventually.

The question is whether they need to exist before the first launch.

I normally separate requirements into:

• Must have for launch
• Useful soon after launch
• Future possibility
• Not needed

This prevents version one from becoming an accidental attempt to build the final company.

For an early SaaS product, perhaps version one needs authentication, the core workflow, saved results and a basic admin system.

It might not need teams, referrals, advanced analytics, a mobile app and seven pricing plans.

Those features can be added when reality gives us a reason to add them.

Sort nine features into what version one needs and what can wait.

Which features version one needs and which can wait:

Feature	Version one	Why
Authentication	Must have for launch	Needed so people can come back to their data.
The core workflow	Must have for launch	The one thing that makes the software valuable.
Saved results	Must have for launch	A user returns later and finds their data.
A basic admin system	Must have for launch	Enough to run the product after launch.
Teams	Later	Add it when real users give a reason.
Referrals	Later	Useful eventually, not before the first launch.
Advanced analytics	Later	Watch what users do first, then measure more.
A mobile app	Later	A responsive web app can validate the idea sooner.
Seven pricing plans	Later	Version one can use a much simpler model.

The example list comes from step 2 above. Tap a feature to cycle it: unsorted, launch, later.

3. Turn the workflow into a technical system

Once the product is clear, I map what needs to exist underneath it.

That can include:

• frontend application
• database
• authentication
• backend logic
• APIs
• storage
• AI providers
• payment systems
• email
• messaging
• background processing
• hosting

This is where technical decisions start to matter.

• What data needs to be stored?
• Which actions need permissions?
• Which operations happen synchronously?
• What happens when an external service fails?
• Which parts might need to scale?

The goal isn’t to design infrastructure for 100 million users before the product has one.

It’s to avoid building version one in a way that makes version two unnecessarily painful.

4. Build the core functionality first

This is where I differ from the temptation to build a product from the homepage inward.

I care about the central workflow first.

If we’re building an AI document analysis product, I want:

document → processing → useful result

working.

If we’re building a marketplace, I want:

seller creates listing → buyer discovers listing → buyer takes action

working.

If we’re building an internal operations tool, I want the employee’s actual workflow functioning.

Only after that foundation works do I care about polishing everything around it.

A beautiful onboarding flow attached to a broken core product is still a broken product.

5. Build the product around the core

Once the central workflow works, the surrounding application comes together.

That might mean:

• account creation
• login
• dashboards
• history
• settings
• admin tools
• notifications
• payments
• exports
• onboarding

The exact list depends entirely on the project.

The principle is simple:

Every piece should support the central product rather than exist because “apps normally have this.”

6. Integrate external services carefully

Modern products rarely exist alone.

They may depend on Stripe, WhatsApp, Google, AI providers, CRMs, email systems or industry-specific APIs.

Integrations can save enormous development time because we don’t need to reinvent infrastructure that already exists.

But they also create dependencies.

I think about:

• What happens if the API is unavailable?
• What data do we need to store ourselves?
• What happens if credentials expire?
• Are there rate limits?
• Does the provider actually support the workflow we need?
• What does the integration cost at scale?

A demo only needs to work once.

A product needs to keep working.

7. Test the workflow like a user

Testing individual components is useful.

But I also care about complete journeys.

Imagine a new user who has never seen the product.

Can they:

1. arrive
2. create an account
3. understand what to do
4. complete the core action
5. receive the expected result
6. return later and find their data?

Then I deliberately try the wrong things.

• Upload the wrong file
• Leave fields empty
• Refresh halfway through
• Trigger the API twice
• Use a weird input
• Try an unauthorized action

Software is much easier to build when users behave perfectly.

Unfortunately, users were not consulted about this arrangement.

8. Deploy it properly

At some point the product has to stop being a development environment.

Deployment can involve:

• production hosting
• domains
• databases
• storage
• environment variables
• API credentials
• email
• monitoring
• analytics
• error tracking

I want a real URL that real users can open.

That’s the moment the idea becomes a product.

9. Watch what users actually do

This is where the MVP starts doing its job.

Before launch, product decisions are largely hypotheses.

After launch, you can begin seeing reality.

• Do people understand the onboarding?
• Do they complete the core workflow?
• Where do they stop?
• What do they repeatedly ask for?
• What feature did you think was essential that nobody uses?
• What missing feature blocks adoption?

Those answers should shape version two.

10. Iterate from evidence

The second version should not simply be:

“Let’s add the rest of the original feature list.”

It should respond to what you’ve learned.

Maybe the product needs a CRM integration.

Maybe users desperately want team accounts.

Maybe the AI output needs to be editable.

Maybe nobody cares about the feature you expected to be the differentiator.

That’s why I prefer launching focused software relatively quickly.

Real usage produces information that planning can’t.

What does this look like on an actual AI product?

One of my own projects is Kadensio, a platform designed around AI-powered WhatsApp lead qualification.

The visible concept sounds simple:

A lead messages a business and AI qualifies them.

But the actual product requires a workflow.

A lead enters.

The conversation needs context.

Information has to be collected.

Responses need to be interpreted.

The qualification needs to become structured data.

The system needs to know what should happen next.

The business needs a usable interface around all of this.

That’s the difference between building “an AI chatbot” and building software around AI.

I’ve written a separate breakdown here:

Read nextI Built an AI WhatsApp Lead Qualification Platform: Here’s How It Works

How much does this process cost?

It depends on how much product is inside version one.

A single-purpose tool may be relatively inexpensive.

A multi-user SaaS product with payments, several integrations and sophisticated AI workflows is naturally more involved.

The projects I take on generally sit in the €600 to €10,000 range.

I’ve explained how I think about that range here:

Coming soonHow much does it cost to build an MVP in 2026?

Do you need an agency for this?

Not necessarily.

Focused MVPs can be a good fit for an independent developer because the person discussing scope, making architectural decisions and implementing the product can be the same person.

Larger projects that need multiple specialists working simultaneously may be better suited to an agency.

And if software is becoming a permanent function of the company, an internal team may eventually make sense.

I’ve compared those options here:

Read nextFreelancer vs Agency vs In-House Developer: Who Should Build Your MVP?

What I need from a client before starting

You don’t need to arrive with technical architecture.

You don’t need to choose a database.

You don’t need a 60-page specification.

I mainly need to understand:

• What are you trying to build?
• Who is it for?
• What problem does it solve?
• What absolutely needs to work?
• What is your approximate budget?
• When do you want to launch?

From there, the technical specification can be created around the actual objective.

The principle behind the whole process

Build the smallest complete version of the idea.

Build the important part properly.

• Get it into users’ hands
• Learn
• Then build more
• An MVP isn’t the destination

It’s the first version that gives you enough reality to decide where the product should go next.