Pierre
Knowledge infrastructure for AI-assisted design.
Pierre is a knowledge infrastructure that gives AI design tools persistent memory. It captures patterns, decisions, and convictions across every session and compiles them into a single context document that the AI reads before responding. The result: an AI that knows how your team works.
Every design decision is captured as a node: a spacing rule, a naming convention, a component behavior. All attributed to the designer who made the call and versioned across sessions. Pierre surfaces these decisions across every project in the structure so nothing gets lost between sessions or teams.
The graph shows how decisions relate to each other. Every node carries two directions: what informed it and what it goes on to inform. A spacing choice from one project becomes context for a layout decision in the next. The knowledge compounds across projects, not just within them.
Every AI session starts from zero. Conventions get re-explained, or forgotten.
Every session inherits the full team graph. Context is never re-entered.
A decision made on one project doesn't reach the next. Knowledge lives in heads.
A spacing rule from one project becomes context for the layout decision in the next.
A new designer gets up to speed through documentation that's always out of date.
A new designer's first session already knows how the team works.