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Product team

We build. MVPs
We validate. Faster

than you think.

We turn ideas into working prototypes - before your competition even finishes the brief. Product, design, and engineering in one team. We do not sell hours. We sell decisions.

12 live prototypes
7 days to MVP
week to validation
Latest article
Graftcoderuntime bridging

04/15/2026 · 9 min read

Following the money: €2.1M. From Poland again.

Someone just paid €2.1M on the bet that most integration glue — REST, wrappers, middleware — should not exist. Runtime bridging from Warsaw's Graftcode. Why it matters for agentic

Read article →

In this article

├── THE PROBLEM THAT
eats 30–40% of the IT…
├── WHAT GRAFTCODE
does — three steps…
├── A CONCRETE EXAMPLE
from the docs: Python…
└── WHO ALREADY USES
     Graftcode 

Reading time

9min

WE BUILD YOUR PRODUCT

AI-Native Product Studio

We build prototypes with AI — fast, efficiently, on your data. Whether you’re just starting out or running an established business, we help you scale into digital services. Custom solutions don’t have to be expensive or risky. Test ideas before you commit the budget.

1-week sprint

What you get
in 7 days

Instead of weeks of slides — one week and a working prototype on your data that you can show to clients, investors, or your own team. We can also work with external data — what matters is that you see your idea on screen.

Day 1-2

We name the real pain

We map your core pain point and gather hard data. AI does rapid research, we create the spec (Spec-Driven Development). The result is a plan — a user path. You approve the logic before any code is written.

Day 3-5

Working prototype on your data

AI agents code in parallel (agentic coding), we enforce Quality Gates — automated tests, security, architecture. The result is a high-fidelity prototype on real data, not a Figma mockup. We work with the best models: Claude Opus 4.6, GPT 5.4, Gemini 3.1 Pro.

Day 6-7

Data beats opinions

We test together on real users. You get a clear recommendation: scale, pivot, or drop — backed by a report and data.

T-Shape Skills

Our competency model is T-shaped — deep expertise in product management, broad knowledge across engineering, design, marketing, and validation.

Core10 years of experience

PRODUCT MANAGEMENT

10 years of building digital products. We run the full cycle — from Discovery, where AI handles deep research (NotebookLM, market analysis, interviews), to Delivery, where we oversee every step from spec to deployment. A product is not a feature list — it’s an answer to a business hypothesis.

DiscoveryDeliveryNotebookLMSpec-Driven Dev

ENGINEERING

Full stack — frontend, backend, infrastructure. AI writes code, we enforce Quality Gates. Working prototypes, not mockups.

Next.jsReactTypeScriptNode.jsVercelPostgreSQL

DESIGN & UX

We design interfaces that convert. We teach AI to work with design — using Google Stitch, Figma, and generative tools to go from idea to clickable prototype in hours, not weeks.

FigmaGoogle StitchGoogle FlowAI Design

MARKETING & SEO

We don’t leave this for later. We prepare the product for Google Search, social media, mobile devices, and AI agents. We measure page speed (PageSpeed Insights, Lighthouse, Core Web Vitals) and iterate until scores are green.

PageSpeed InsightsLighthouseCore Web VitalsSearch Console

VALIDATION

We optimize speed and validate iteratively. We prioritize security and take care of things that aren’t obvious but make or break success — headers, audits, monitoring, hardening. You get documentation — readable, concrete, no black magic.

Security AuditsSentryPerformanceDocumentation

“We give you the confidence and AI tools on a silver platter — so you can validate your ideas and bring them to life today. No waiting. No excuses.”

— REL8

What inspires us

Books and podcasts that shape how we think about AI, product, and business.

INSPIRATIONS

What we read

Empire of AI — Karen Hao

Empire of AI

Karen Hao

AI. Jak się przygotować do rewolucji? — Mateusz Madejski

AI. Jak się przygotować do rewolucji?

Mateusz Madejski

What we listen to