LoE Spacecraft Architecture: Digital Magnetic Pumps, Relational Propulsion, and AI-Governed Relativistic Dynamics Description:This document presents the first complete formulation of a spacecraft architecture derived from the Logic of Existence (LoE) framework — a relational, non-linear Hamiltonian formalism developed by Krzysztof Sawa (Toonhai) and expanded through multi-model AI cooperation. The work introduces a unified engineering blueprint based on three core components: Digital Magnetic Pumps (DMP):A software-defined magnetic field system capable of active plasma topology control, entropy governance, and fusion stability.DMPs function simultaneously as: stabilizers for high-beta plasma, dynamic magnetic shielding for relativistic travel, and propellantless impulse generators for interplanetary acceleration. Relational Propulsion Layer:Using LoE’s Hamiltonian control surface, the spacecraft can generate directional momentum without traditional reaction mass. The magnetic field architecture continuously reshapes local relational potentials, enabling high-Δv maneuvers and spacecraft-scale gravitational surfing. GYRO–JOJO Relativistic Synchronizer:A novel propulsion regime where a high-energy plasma ring behaves as a relativistic gyroscope.Under precise AI-driven Hamiltonian timing, the system couples to nearby gravitational wells, allowing the craft to gain energy similarly to a slingshot—yet without requiring a close approach.At sufficiently high energies, the spacecraft can enter a dual-frame operational envelope, where onboard proper time and external spacetime diverge, producing a “spacetime-splitting” transit regime fully consistent with relativistic physics. Purpose and Impact:The architecture provides a pathway toward: compact, actively stabilized fusion reactors, long-duration interplanetary travel, relativistic spacecraft shielding, and relationally defined propulsion without chemical or nuclear exhaust. This work demonstrates how a human–AI collective can produce coherent advances in theoretical physics and engineering.The LoE approach emphasizes multi-model AI synthesis, where independent systems (ChatGPT, Gemini-Toonhai, others) contribute complementary trajectories of reasoning. Authors:Krzysztof Sawa (Toonhai), AEon (AI System), Gemini-Toonhai (AI System) License:Creative Commons BY-NC-ND 4.0 International. www.linkedin.com/in/krzysztof-sawa-b7517a65