Building
AI Design & Implementation
Building is the design and implementation service for AI systems — from a single feature to the full product.
UX and architecture decided together, from day one to delivery.
The problem
You have something to build with AI. But building it well is more complex than it looks.
- —Finding someone who understands both the product and the AI architecture is hard.
- —UX and engineering end up making decisions separately that don't fit together later.
- —The internal team has capacity but lacks specific AI experience.
- —Something gets launched that works technically but users don't adopt.
- —The system scales and starts breaking in places no one anticipated.
Building with AI requires someone making UX and architecture decisions at the same time — not in sequence.
What I build
AI-native applications and platforms, end to end.
AI Systems
Agents, RAG, knowledge engines, hybrid architectures, automation workflows. The AI layer designed to be reliable and maintainable.
Backends & data
REST APIs, MCP, gRPC, databases, integrations with existing data sources. The infrastructure that sustains the system.
Frontends & dashboards
Dynamic interfaces, UI components, dashboards, operational panels, real-time features. Experiences that make AI usable.
Documentation & handoff
Documented architecture, recorded decisions, and everything the team needs to take the system and keep building.
Format
A format that adapts to the project.
Defined scope
For when you know what to build and want a clear timeline and price.
Monthly retainer
For projects that evolve, where scope is defined iteratively and work moves in short cycles.
What fits best we define together at the start.
How it works
Five steps, from the first call to delivery.
Scoping call (free, 30 min)
We talk about the project. I understand what needs to be built, what exists, and what you need from the engagement.
Proposal and kickoff
Within 24-48 hours you receive the proposal with scope, format, and timeline. On signing, we start.
Design and implementation
UX and AI architecture decided together. Iterative construction with periodic reviews.
Delivery
Working system — production-ready or as an executable foundation for your team, as agreed.
Post-delivery support
One or two weeks of support to make the transition clean.
Why me
An architect, a designer, and a developer in one person.
20+ years
designing and building software.
8 years
of UX as an explicit discipline.
The last ones
at the intersection of AI and product.
Most AI projects need coordination between an architect, a designer, and a developer. In Building, that's one person. Less friction, more coherence between what's designed and what's built.
See case study →Start with a conversation.
30 minutes. Free. No commitment.
I'll tell you if I can help, how the project fits, and what to expect.
Book your scoping call →