Open‑Source Sovereign Systems Specification Released

An open-source Sovereign Systems Specification, Glossary, and Pattern Library has been published to formalize architecture and patterns for local-first, high-integrity AI infrastructure. The release argues that larger LLM context windows alone do not solve systemic issues—attention fragmentation, positional bias, data corruption, and rising API costs—and promotes strict write-time ingestion boundaries, local validation, cryptographic signing, and structural primitives for deterministic inference. The package is organized into three parts: a formal glossary, an Architecture & Execution framework with visual blueprints for edge-native context processing, and a Sovereign Inference Pattern Library (including patterns such as Sieve-and-Sign and Pre-Paid Retrieval Precision). All materials are available on GitHub Pages and the project's GitHub repository; the author invites community contributions, RFCs, and case studies. Publication date: 2026-05-27.