Validated idea
Proof that the product solves a real problem for real customers — and that there's money to be made on it.
/ Services / Solution Architecture /
Designing your product's architecture to be lean and fast to build while leveraging AI to the fullest. The output is a validated pilot, a clear brief, a plan, and an architecture design for MVP delivery.
/ Outputs /
/ Cooperation prerequisites /
Proof that the product solves a real problem for real customers — and that there's money to be made on it.
What the system should look like, which approaches, methods, and technologies to use and why. A visual schema a non-technical product team member will also understand.
Decisions on where to buy a ready-made solution and where to build custom — with a proposed timeline and a rough budget estimate.
A brief with concrete tasks for AI development tools (e.g. Claude Code) and a classic developer team alike.
Partner recommendations from a proven network of 300+ delivery teams. Oversight that the implementation tracks the design while accommodating changes.
/ Collaboration process /
It typically runs 2–6 weeks from validation to handover of the MVP design, then per project scope. You always know what's coming next and what you'll get out of it.
Getting to know each other and understanding your current situation. We talk through how your business works, the goals of the project, requirements, existing systems, constraints, and what's possible with AI.
Trying out the engagement by reaching a quick result. Defining the go-to-market strategy, target audience, and the product's main value proposition. Building a concept proposal. Validating target-audience interest.
Goals, scope, schedule, budget, and terms via a retainer (an agreed monthly hour allocation).
Understanding the strategy and the current state, gathering requirements, setting priorities, estimates, and the schedule.
Defining goals, roles, use-case scenarios, and data structure. Choosing technologies. Designing the architecture. Reviewing requirements, priorities, estimates, and project phases. Risk analysis.
Recommending a partner to build the project. Oversight during MVP delivery and consultation on follow-up phase implementation per plan.
/ Stakeholders /
This isn't a turnkey engagement. Each of us knows what we do — you bring context and decisions, I bring the strategy and connections to delivery partners.
You set the product vision and decide the direction.
Reviews requirements, priorities, and key features.
I deliver the architecture design and the brief for development.
Build the product based on their specialization and the brief.
/ Technology /
I select the tech stack based on your requirements and budget. AI tools change fast — what's good today may not be the best choice tomorrow. I choose so the solution lasts as long as possible.
/ Portfolio /
/ References /
“We deployed conversational AI for customer communication — the company sometimes handles thousands of inquiries a day. The team approached it as their own project: the outputs always exceeded expectations. We're planning long-term cooperation and can only recommend.”

Jan Rezek
Marketing Director · Form Factory s.r.o.
“Jakub helped us decide what to build in-house and what to buy as a ready solution. Thanks to that, we launched our AI platform faster than planned. Proactive communication and genuine interest in understanding our needs — that's exactly what we expect from a partner.”

Veronika Trachta
Executive · Dazbog.ai
“What I value most is the ability to truly understand our business needs, not just the technical brief. Thanks to that, we got a solution that fits our market and clients exactly. The result is significantly faster price quote creation and better calculation accuracy.”

Daniel Gavalec
CEO · Wue Technologies s.r.o.
/ F&Qs /
/ Další kroky /
30 minutes online, free. We'll talk about your product vision, requirements, and what specific output would help you kick off development.