Education
Do you learn what happens by using it, or by reading about it afterwards?
How it is built
EPA is a framework for asking the right questions while building. The questions change. The discipline does not.
One acronym, two disciplines. Architecture and design validate each other, or nothing ships.
Do you learn what happens by using it, or by reading about it afterwards?
Whose purpose does this data serve: yours, or the platform’s?
Is ownership how the system is built, or a setting you must claim later?
Who does the technology serve first?
Are the lines on data facts of the stack, or rules someone can move?
When business logic and the user conflict, which one yields?
Foundational questions. They show how EPA thinks. In practice they expand, sharpen, or change with what is being built.
Do you learn what happens by using it, or by reading about it afterwards?
Whose purpose does this data serve: yours, or the platform’s?
Is ownership how the system is built, or a setting you must claim later?
Who does the technology serve first?
Are the lines on data facts of the stack, or rules someone can move?
When business logic and the user conflict, which one yields?
Transparency is not a ceiling on what a product may do. It is the mechanism by which it earns the right to do it.
Privacy, agency and transparency are properties of both layers, design and architecture, not procedures added around either. Both layers must hold together. If either fails, nothing ships. Compliance follows from the architecture.
Support lives with each service. Hebbian is where the rest happens: partnerships, and conversations about building this way in Europe.
Applied AI research runs in-house as Hebbian Intelligence.