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.
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.
04/15/2026 · 9 min read
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 …
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├── 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 ▌
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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.
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.
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.
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.
We test together on real users. You get a clear recommendation: scale, pivot, or drop — backed by a report and data.
Our competency model is T-shaped — deep expertise in product management, broad knowledge across engineering, design, marketing, and validation.
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.
Full stack — frontend, backend, infrastructure. AI writes code, we enforce Quality Gates. Working prototypes, not mockups.
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.
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.
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.
“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.”
Books and podcasts that shape how we think about AI, product, and business.
Kulisy OpenAI, ambicje Altmana i wyścig o superinteligencję. Reporterska opowieść o ludziach, władzy i technologii, która zmienia wszystko.

Karen Hao
Praktyczny przewodnik po rewolucji AI dla ludzi biznesu. Bez hype'u — konkretne strategie, polskie przykłady i plan działania na jutro.

Mateusz Madejski