Will the MVP code be thrown away?

Not the parts that stay. We build foundations (data model, auth, payments, infrastructure) properly and keep shortcuts in replaceable places, so the MVP can grow into the product.

Can an MVP include AI?

Yes, and AI MVPs benefit most from a proof of concept on real data first. See AI proof of concept.

Completely: code in your repository, infrastructure in your cloud accounts, from day one.

Service · MVP development

An MVP that tests your idea — not your patience.

The point of an MVP is to learn whether customers want what you’re building, as cheaply and quickly as possible. Most MVPs fail at that by being too big. We help you decide what to build properly, what to fake manually, and what to leave out entirely — then ship it.

Low learning value → High learning value

Build now

Build carefully or fake manually

Maybe later

Cut

Low effort → High effort

Score every feature on learning value and effort. The top-left quadrant is your MVP.

Build, fake or skip

Feature	Typical decision	Why
Sign-up & authentication	Build properly	Security and data model are hard to change later
Core user flow	Build properly	It’s what you’re testing
Payments	Build with a proven provider	Money flows need to be right from day one
Admin panel	Fake with simple tools	An internal spreadsheet or basic admin is fine early
Recommendations & personalisation	Fake manually or skip	Needs data you don’t have yet
Mobile apps	Often skip — responsive web first	Unless mobile is the core of the idea
Integrations	Manual process first	Automate once volume justifies it

Read the full framework in Your MVP is too big, and use the project brief generator to write down must-haves versus later.

How we run an MVP

1
Discovery sprint
Target users, the core job, the riskiest assumptions, scope cuts, architecture and an estimate you can trust.
2
Clickable prototype
Test flows with a few real users before building — cheap changes happen here.
3
Build in increments
Working software every iteration; you can show investors and early customers progress as it happens.
4
Launch with measurement
Analytics, error tracking and feedback channels in place on day one.
5
Learn and decide
Double down, pivot or stop — based on data, with a codebase ready to grow.

Frequently asked questions

GuideYour MVP is too bigMost MVPs are too big to test anything quickly. How to cut scope: one user, one job, riskiest assumption first, manual before automated.ServiceCustom software developmentEnd-to-end custom software: discovery, design, web, mobile, backend, cloud and QA — with progress, budget and risks visible, and full ownership.Free toolProject brief generatorFill in nine fields and get a structured software or AI project brief you can send to any vendor — so the estimates you get back are actually comparable.ServiceAI proof of conceptA time-boxed AI proof of concept on your real data: test set, thin end-to-end slice and a go / no-go backed by accuracy, latency and cost numbers.NythrexPricing & engagementHow Nythrex prices projects: fixed-price discovery, milestone-based builds and monthly teams — changes estimated before approval, no surprise invoices.

Want a second opinion on your project?

Tell us what you’re building and where you’re stuck. We’ll reply within one business day with the most practical next step — even if that step isn’t us.

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