DAIGS v3 Tiered State Architecture & Multi‑Personality Synthetic Organisms

The Deterministic Autonomous Infrastructure Governance System (DAIGS) v1 established the foundational taxonomy for single‑organism deterministic governance. DAIGS v2 generalized the substrate to multi‑organism, planet‑scale deployments with distributed arbitration and certificate lineage DAGs. Both generations, however, assumed a rigid one‑to‑one mapping between an organism instance and an operational identity: one organism governs one role, one context, one set of permissions. This assumption creates prohibitive scaling costs for consumer and small‑business adoption, where users require multi‑role AI assistants but cannot afford — computationally, financially, or cognitively — to manage fleets of independent organisms. I present DAIGS v3, which introduces two tightly coupled architectural innovations. First, Multi‑Personality Synthetic Organisms: a single organism instance, governed by a single Lume Trust Certificate, can embody multiple deterministic identity facets — each with its own envelope set, arbitration profile, permission bounds, and behavioral logic — and switch between them through a formally verified, certificate‑backed facet transition protocol. Second, the Tiered State Architecture: organism memory is partitioned into a shared, read‑gated Subconscious Core (global identity, business rules, verified facts) and a volatile, cryptographically isolated Conscious Facet‑Local scratchpad (task‑specific working memory). This dual‑partition model eliminates cross‑facet context contamination and provides a formal proof of prompt injection immunity across facet boundaries. I define the complete facet transition protocol, prove eight fundamental properties (facet isolation, core integrity, transition determinism, injection immunity, state completeness, envelope monotonicity, certificate continuity, and compositional safety), and demonstrate the architecture through three deployment surfaces: Lume‑Lite (personal AI), Trust Layer Micro‑Services (small‑business governance), and Lume Playground (developer sandbox). DAIGS v3, executing on the Lume runtime with Lume‑V arbitration, provides the architectural bridge between rigorous deterministic governance and mainstream consumer adoption.