
The Craft of Splitting Things Apart
Tables, batches, business rules — splitting them was supposed to make everything easier to handle. So who ends up paying for all the seams that appear?
Services
Delivery models and flagship work
Alopex Family
Asopitech Labo
NiminoDesktop
A lightweight WebView desktop foundation in Nim
NimculusEditor
A GPU-native editor in Nim and Metal
PoieraPlatform
A control plane concept for AI agents, carrying compact contracts through authorization, deployment, and verification
TheatoraBackend
A composable backend construction kit concept for swapping providers, runtimes, and topology
RhyzoraFramework
A concept for building CLI, TUI, Web, desktop, and MCP interfaces from declarative contracts
Labo overview
What the R&D lab is working on
Enterprise plans

Tables, batches, business rules — splitting them was supposed to make everything easier to handle. So who ends up paying for all the seams that appear?

Did the problem definition end the moment you wrote it? Keeping it as a hypothesis through to requirements.

How far does that problem reach? Four axes for setting its scope and view.

Is that request already a chosen solution? Set the method aside and write the problem as a gap from today.

Was the conclusion settled the moment the budget was approved? Seven structures that block a decision not to build.

Are those requirements just a list of individual tasks? How to see the whole process and decide what a system should cover.

Does that request describe a problem, or a solution someone already picked? A procedure for removing work before you build.

Break work down, share expectations and criteria, give feedback. The template of good management overlaps exactly with good instructions to an AI team. How the experience of leading AI grows leaders and managers, and how it turns the organization's learning loop.
Tables, batches, business rules — splitting them was supposed to make everything easier to handle. So who ends up paying for all the seams that appear?
Did the problem definition end the moment you wrote it? Keeping it as a hypothesis through to requirements.
How far does that problem reach? Four axes for setting its scope and view.
Is that request already a chosen solution? Set the method aside and write the problem as a gap from today.
Was the conclusion settled the moment the budget was approved? Seven structures that block a decision not to build.
Are those requirements just a list of individual tasks? How to see the whole process and decide what a system should cover.
Does that request describe a problem, or a solution someone already picked? A procedure for removing work before you build.
Break work down, share expectations and criteria, give feedback. The template of good management overlaps exactly with good instructions to an AI team. How the experience of leading AI grows leaders and managers, and how it turns the organization's learning loop.