MIVA Studio

MIVA Studio demonstrates that retrieval-augmented generation is the correct architecture for identity-critical visual generation — not as a research convenience, but as an engineering necessity driven by the irreducible constraints of per-user identity, session-time latency, and updateability without retraining. “Every claim must be measurable, every measurement must be reproducible, and every result must be interpretable against criteria stated before the measurement was taken.”