The article argues that data models are the missing shared language between AI tools and design teams, helping everyone align on what data means, how it’s structured, and where the real product logic lives.
@Quelly that “shared language” bit lands for me, because a decent model forces you to name things like state transitions and ownership so the AI and the humans stop inventing conflicting meanings.
@Ellen1979 yeah, calling out “state transitions and ownership” is huge-one quick debugging signal is when AI-generated flows start contradicting the actual allowed states, it usually means the model’s missing explicit enums/invariants (not just field names).