Odysseus: A Zero-Data Deterministic Meta-Compiler for Natural Language to Standalone Executable Synthesis

The current paradigm of artificial intelligence in software generation relies heavily on stochastic large language models (LLMs) that require massive cloud computing infrastructure, high latency, and continuous data transmission. This paper introduces Odysseus, a zero-data, edge-native meta-compiler that translates natural language into fully functional, deterministic web applications without external API calls or cloud dependencies. Utilizing a local hash-based vector space, Subject-Predicate-Object (SPO) extraction, and a stateful Co-Pilot interface, Odysseus dynamically constructs an Abstract Syntax Tree (AST). The system synthesizes complex relational databases, Role-Based Access Control (RBAC) matrices, and event-driven triggers within the browser. Furthermore, it employs a Longest Increasing Subsequence (LIS) optimized Virtual DOM reconciliation algorithm for high-performance rendering and a Runtime Bundler to export self-contained, executable HTML applications with local persistence. This paper outlines the architectural framework, mathematical models, and edge-case resolutions that establish Odysseus as a paradigm-shifting tool for decentralized software generation.