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Domilite

Experiment

An AI experiment exploring how described ideas can become immediately usable, evolvable tools — no code, just describe and use.

StatusExperiment
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

Domilite is currently in early experimental stage, focusing on validating the core concept:

idea → usable tool → iteration loop

  • The architecture, product vision, and system design are defined, with initial prototypes exploring runtime-based tool generation and structured app definitions.Define and implement the core domain model (app definition system)
  • Build runtime renderer (list + form views)
  • Develop AI generation and modification flows
  • Deliver first vertical slice (task tracker generator)
  • Validate user interaction loop and iteration behavior