Functionality with no ceiling
Dashboards, portals, calculators, integrations, roles and permissions, non-standard logic, AI agents inside the product — all built on lightweight code. "That's not possible" isn't in my vocabulary.
service 03 / web apps
Web apps for business — from a dashboard to a portal, built on data and AI
I design and build working products: dashboards, customer portals, calculators, portals, internal tools and automation with AI agents. On lightweight code, with readable APIs and a harness panel. One specialist with the AI CORE does a team's work — faster and cheaper.
from 2,000 $ · the final quote depends on scope and project hours — fixed in the contract before we start. 50/50 payment, deadlines backed by penalties on my side.
from 14
days to MVP
up to 70%
budget saved
1 = 4
one person with AI instead of a team
24/7
agents inside the product
why this approach01 02 03 04 05 06
Why it's faster, leaner and more alive than classic development
A fast MVP, then iterations
A working core first, then growth on top. Hypotheses get tested on real users in days instead of quarters.
Integrations in hours
CRM, payments, analytics, chatbots, your internal systems — connected over readable APIs, fast and cleanly. One organism instead of a zoo of services.
AI inside the product, not bolted on
Neural agents sit inside the processes: request handling, analytics, recommendations, routine. The product doesn't just store data — it makes decisions.
Lower cost of ownership
One specialist with AI covers the roles of a whole development team. Lightweight code without heavy platforms is cheaper to maintain and to grow.
Transparency through the harness panel
A custom admin panel keeps an obvious link between the data, the documents and the product's logic — you understand how it all works.
how it works
AI is the core of the product: both the data source and the virtual contractor
- Agents compile the data and the analysis results — and design and populate the product on top of them.
- Neural agents are built into the product's processes: request handling, analytics, recommendations, routine decisions.
- A custom harness admin panel keeps an obvious link between the data, the documents and the working logic.
- The interface design system generates screens and blocks with high precision.
- Lightweight code with no heavy platforms: fast integrations over readable APIs and performance in the green.
- UX analytics finds where conversion and usability can grow.
how we work
From brief to analytics support — one transparent pipeline
- 01
Audit and brief
1–2 daysI dig into the business, the processes, the users and the metrics. We write down what problem the product solves and what it brings in, in money.
We start from the business problem, not from a set of screens
- 02
Product research
2–3 daysCompetitor analysis, JTBD, user segments, journeys, channels, comparative analysis, product requirements and spec.
The product is built on data — and hits a real need
- 03
Journey design
2–3 daysA map of user journeys, the data structure, roles and permissions, and the logic of transitions and states.
The logic is thought through before design — cheap to fix on a diagram
- 04
Prototype
2–3 daysAn interactive black-and-white prototype of the key screens and journeys, to spec.
You get your hands on the product before development
- 05
Interface design system
2–3 daysI formalise components, states and rules — one interface language the screens get assembled from.
From here functionality grows out of the system, fast and consistently
- 06
Core development (MVP)
5–10 daysThe functional core built on lightweight code following the approved design system: screens, data, business logic.
You hold a working product, not mockups
- 07
Integrations, AI agents, launch
3–5 daysServices and APIs connected, neural agents embedded, E2E testing of the journeys, SEO/GEO where it matters, deploy to production.
The product goes into service coherent and bug-free
- 08
Technical support
3 monthsThree months of support, team training, and handover of the harness panel, the documentation, the business manifests and the prompts.
You're not left alone with the product — you take over knowing how it works
- 09
Analytics support
1 monthA month of weekly metric audits and improvements shipped against actual data on a PDCA cycle.
The product gets tuned to its maximum return
comparison
Classic studio vs AICS-93
classic studio
AICS-93
Time to MVP
3–6 months or longer
From 14 days
Project budget
A dev team plus managers
Up to 70% lower
Team on the project
Analyst, designer, 2+ developers, PM
One person with the AI CORE (1 = 4)
AI in the product
A separate, expensive project
Built in from day one
Iterations after launch
Sprints and weeks of waiting
Hours inside the existing system
Cost of ownership
Heavy stack, expensive support
Lightweight code, humans and AI both edit it
what you get
Not just a website — a working asset with support
A working product in production
Built, tested and published on lightweight code — with integrations, AI agents and analytics connected.
Interface design system
Components, states and rules — so new functionality gets assembled fast and in one language, without chaos.
Harness control panel
An admin panel linking data ↔ documents ↔ logic — transparent control over the product.
Documentation and spec
Journeys, data structure, APIs and requirements — a working base for growing the product further.
AI agents and automation
Neural agents built into the product, plus the prompts for tuning and extending them to your processes.
Manifests, instructions and prompts
A kit for growing the product with your own team and neural agents — independence instead of dependence on a contractor.
faq
Answering the questions that matter
What kinds of products do you build?
Dashboards, customer portals, calculators, portals, internal tools, client-facing web apps and automation with AI agents. If a product has logic and data, I can build it.
Why so fast — an MVP from 14 days?
The speed comes from method, not from rushing. One specialist with the AI CORE covers research, design and development without losing time to coordination inside a team. A working core first, then growth on top — what gets removed is routine and idle time, not stages.
How complex can the logic get?
Roles and permissions, payments, non-standard calculations, integrations, AI agents — all built on lightweight code. The more complex the product, the wider the gap in speed and budget in my favour against a classic team.
What about integrations and my existing systems?
Any service with a readable API connects fast and cleanly — CRM, payments, analytics, your internal systems. The stack starts behaving like one organism instead of a pile of workarounds.
And support and growth after launch?
Three months of technical and one month of analytics support are already in the project. I hand over the harness panel, the documentation and the prompts, and train the team — you grow the product yourself, or with neural agents.
How much does it cost?
It depends on the scope and complexity: an MVP, a full product, or a system with integrations and AI. So I don't hang a number on it blindly, I price your specific project. Request an estimate — I'll show you the timeline and the budget range before the start.
A product that works for the business instead of sitting in a shop window
While competitors spend six months assembling a team, you're already running a working product and iterating on data. An MVP in weeks, budget up to 70% lower, AI and support included. Technology instead of a bloated headcount. Request an estimate — I'll price your project.
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