Music Practice RPG
Generative story without surrendering musical agency.
Real music practice changes a persistent fictional world. Human-authored canon and player-authored choices constrain the AI that connects one session to the next.
YY Method™ / A Human Driven AI Framework
YY Method™ is a framework for building AI systems that organize evidence, recognize patterns, surface options, and ask better questions without silently deciding what the human should believe.
The method introduces just enough cognitive friction for judgment to form: Capture → Why → Why-Not → Commit → Timestamp.
Operating Boundary
AI
branching burden
Human
judgment
Applied YY Method™
The doctrine is only useful if it survives contact with real systems.
These three applications give AI very different jobs—and therefore very different boundaries. Each page explains what the AI may do, what it may not decide, where human authority remains, and how the system is designed to fail conservatively when the evidence is not strong enough.
Generative story without surrendering musical agency.
Real music practice changes a persistent fictional world. Human-authored canon and player-authored choices constrain the AI that connects one session to the next.
Adaptive AI without surrendering musical truth.
The village may be generative. Pitch truth and pedagogy are not. Verified musical facts, human-authored learning rules, and player history constrain what AI is allowed to invent.
Between-lesson support without surrendering teacher authority.
The AI can organize evidence, compare possibilities, remember context, and prepare better questions. It cannot quietly turn the parent—or itself—into the child's violin teacher.
One doctrine. Three different boundaries.
The trick is not making AI smaller. It is giving AI the right job.