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Domilite

Beta

Describe the tool you need — Domilite builds a working app you can use right away and keep improving in plain language. Public beta on the web.

StatusBeta
Product typeProduct
My roleProduct, architecture and engineering
What it demonstratesAI generation · runtime architecture · experiment

Domilite explores a model where ideas become fully usable tools — described in natural language rather than built as code.

The vision: instead of writing code or configuring complex systems, users describe what they need — and Domilite generates a working tool that is immediately usable, persistent, and evolvable. From task trackers and dashboards to internal workflows and personal CRMs.

The concept is built on a structured runtime architecture where applications are defined as dynamic models rather than static code. This is what the current prototype explores: whether that runtime model enables fast iteration, lower cost, and long-term maintainability.

If the concept holds, software would not be built — but generated, used, and evolved.

Why it exists

Building software is still too complex for most people.

Even today, turning an idea into a usable tool requires technical knowledge, time, and significant effort — which blocks many valuable ideas from ever becoming real.

Domilite was created to remove that barrier completely.

The goal is simple:

make building software as easy as describing a problem.

The problem

People constantly have ideas for tools — to organize work, track data, or simplify workflows — but:

  • coding is too complex
  • no-code tools require setup and system thinking
  • AI tools generate code, not usable products

As a result, most ideas never become real tools.

Current state

Public beta on the web at domilite.com. Describe a tool in plain language and get a working app — lists, forms and dashboards — that you can use immediately, keep, and change by describing what should be different.

  • Start as a guest or with an account
  • Try ready-made tools from the gallery
  • Share what you build with a link

What's next

  • Learning from the first public testers
  • Better generation quality and faster iteration
  • More tool types and data views