TOPIC OVERVIEW · AI PROJECT ENGINEERING
Collective experience as method mapping
One project produces experience. Many comparable projects produce method knowledge: recurring patterns, useful variants and a standard that can learn from every new project.
From individual case to learning standard
The KIPROM workflow consolidates individual project and implementation plans into a shared method map and then challenges it against a research pool. Experience becomes comparable, correctable and reusable rather than merely archived.
The method-mapping cycle
Cases → normalise → patterns & variants → research challenge → method modules → field test → feedback. The standard is a learning loop, not a finished state.
Compare three to five projects using the same fields. Write three method modules and test which component a new project really needs—and which one you deliberately leave out.