The knowledge a product stands on, kept outside the product.
Build patterns, sources and quality rules live in a shared knowledge base rather than in one person's head or one repository. A dedicated lab environment develops and evaluates what goes into it.
Knowledge develops outside the live product.
A dedicated server environment supports product research, model development and recurring evaluations. Tested improvements move into product components — after review, not before.
- 01
Collect
Product data, examples and references, gathered from work that has actually shipped.
- 02
Develop
Domain models and knowledge rules, refined against those examples.
- 03
Evaluate
Fixed test sets and cross-review, so an improvement has to prove itself.
- 04
Apply
Tested versions move into the product; knowledge enters the shared base after review.
Finding → targeted correction → recheck
A shared knowledge base
Build patterns, sources and quality rules that every product draws on.
A boundary that holds
Work carrying a hard data boundary runs on our own machines instead of leaving the building.
Adapted from the studio's architecture overview, September 2026. The lines represent work and knowledge flows; review and publication are explicit steps. It does not imply fully automated feedback or measured speed gains.