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AI-native development · Rapid AI prototyping

A working prototype before you fund the full build

For founders and teams with an idea, a process or an AI feature to test before committing a budget. We start with your process, not with code: a business analyst and a senior architect map users, flows and risks with you. Then we build a clickable prototype on the structure and components of a production frontend, so it isn't thrown away after the test: it becomes your product's frontend. Your users try it, and you decide whether to fund the full build.

  • 130+People, remote across Poland
  • 44 daysFirst line of code to live, one consumer product
  • 5.0Clutch rating, 11 reviews

This is for you if you need an answer before you need a product

  • A decision depends on it

    A board meeting, an investor update or next year's budget, and people need something they can click, not a mockup.

  • You want to know whether AI can do the job

    Read the documents, answer the customer, draft the report: you want to see it work on your data, including where it fails.

  • Stakeholders picture different products

    A shared flow shows where expectations diverge before development expands.

  • A no-code builder got you this far and stopped

    Now the idea needs your data, real logins and an integration the builder doesn't have.

What you get. A prototype whose frontend you keep

A blueprint before code

Users, roles, data flows and risks mapped by a business analyst and a senior architect, with a prioritized backlog.

A clickable prototype that becomes your frontend

Built with the component structure, design system and routing of a production frontend, on dummy or agreed sample data. When you go ahead, it becomes the target software's frontend and we build the backend, integrations and security underneath.

A feedback checklist

Tasks and questions for sessions with your users, tied to the assumptions behind the prototype.

A written line between prototype and production

What the prototype already is and what is left for production, agreed in writing before the sprint, so nobody mistakes one for the other.

A fixed price, agreed up front

Process mapping and the prototype are quoted as one fixed price with the dates, before we start. If the idea needs more, you hear it before you pay.

Artifacts you know in advance

Listed in the scope: the blueprint and prioritized backlog, the prototype code in your GitHub, a deployed preview, notes from the user sessions and an estimate for the build.

A prototype, not a throwaway

What the prototype already is and what we build under it

Agreed in writing before the sprint, so nobody mistakes a prototype for a finished product.

In the prototype

  • The frontend: components, design system, routing and screens your users approved

  • The flow that answers your question, working end to end

  • Code in your GitHub from the first commit

  • Logins, permissions and data protection for the pilot

Left for production

  • Dummy data replaced by a real backend and database

  • Integrations, payments and edge cases

  • Tests, monitoring and scale for real traffic

  • A full security audit and compliance work

Tech stack. Fast to a working version, easy to keep

The prototype is built like a production frontend: a component library, a design system, routing and a typed API layer. We review what you already have in Lovable, Bolt, Base44, v0 or Figma and agree which parts can carry forward. We use n8n or Make for workflow automation where it fits the prototype. Our developers build with Claude Code, Cursor and Codex.

Tech stack

  • Lovable
  • Cursor
  • Claude Code
  • Codex
  • v0
  • Next.js
  • Supabase
  • Vercel
  • Tailwind CSS
  • Clerk
  • Stripe
  • PostHog
  • Bolt
  • Base44
  • Replit
  • Figma
  • n8n
  • Make
  • React
  • TypeScript
  • shadcn/ui
  • OpenAI API
  • Anthropic API

How we work

Analysis before code

We choose the interaction that will tell you most about the idea and keep the surrounding product deliberately small. An engineer checks the implementation and marks simulated behaviour before you show it to users.

When you propose something to them, they don't simply say yes - they come back with a pro and con. You're not getting a classic developer who simply does and then you have to fix the thinking yourself. If I had another AI idea and wanted to pursue it, I would just use Pirxey.
Marcel Brus-RamerFounder, President, Elite Medical Prep

  1. Within one business day

    We reply and set up a call: what the idea is, who would use it and what decision depends on it. NDA first if you want one.

  2. Process mapping, one to two weeks

    A business analyst and a senior architect map users, roles, data flows and risks with you. You get a blueprint of how it works, the problems it has to solve and a prioritized backlog.

  3. A clickable prototype, one to four more weeks

    We design the target architecture, pick the stack and build the prototype on a production frontend, on dummy or agreed sample data. Your users test it.

  4. Review what users did and decide

    We record what users did and which assumptions failed. Then you decide: stop, revise, or fund the build, where the prototype's frontend stays and we add the backend, integrations, security and tests underneath in increments.

Proof, not promises

Questions before you prototype

  • No. We work in your repository, your cloud and the tools your team already uses. If one of them gets in the way of the work, we tell you what and why, and you decide.

  • With a 30-minute scoping call. We look at what you have and what you need, then propose a first step with its scope and price before any work starts.

  • Close, with a different question. A prototype helps people experience a proposed workflow; a proof of concept checks whether a technical approach works under defined conditions. When an AI feature is the point, we test it inside the prototype on agreed samples of your real data.

  • Process mapping usually takes one to two weeks, the clickable prototype one to four more, depending on scope. Both dates go into the scope; if the idea needs longer, we tell you before you pay. For a sense of pace: at our October 2026 offsite, nine teams of about five people each built a working prototype in about 20 hours.

  • Its frontend becomes the product's frontend, and the code is in your GitHub from the first commit. What changes is underneath: dummy data gives way to a real backend, logins, integrations and tests.

  • Not yet, and the scope says so in writing. The prototype has the frontend, the flow that answers your question, and logins and permissions for the pilot. A real backend and database, integrations and payments, tests, monitoring and a full security audit are left for production.

  • No. Sketches and a description of the user task are enough to discuss scope. We agree how much interface design the prototype needs before implementation.

  • Yes, when it matters to the user journey. We make clear whether the response comes from a live model or a simulation, and a model tested on made-up data tells you little, so we use agreed samples of your real data.

  • A lead business analyst who turns your needs into requirements, a senior architect or tech lead responsible for the stack, security and scale, and AI developers who build with Claude Code, Cursor and Codex.

  • We record which assumption failed and what users did instead. You can revise the concept or stop before funding a larger build. If AI can't do the job, you find out in weeks, with the cases where it failed; sometimes plain rules do it better, and we'll say so.

How we think about this, in our own words

Interactive briefs and articles by our team, picked for this service

The new Pareto: 95/5

Why AI builds 95% of what a prototype shows for 5% of the effort, and how to price the edge cases and permissions it leaves out.

Read the brief: The new Pareto: 95/5

Put your idea in someone’s hands

What you want to test, who would use it, what data it needs and what decision depends on it.

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Direct contact

Mike KacprowiczMike KacprowiczBook a callChief Growth Officer

+48 790 359 357hello@pirxey.comBook a call

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