1. Introduction
5. Part 0: The Crisis and The Response
6. 1. Chapter 1: Hello Sovereign AI
7. 2. Chapter 2: Crisis of Determinism in the Age of Generative AI
8. 3. Chapter 3: trueno - SIMD-Accelerated Tensor Operations
9. 4. Chapter 4: Byzantine Fault Tolerance for Multi-Agent Systems
13. Part I: Infrastructure Foundations
14. 5. Chapter 5: pmat - Quality Enforcement Toolkit
15. 6. Chapter 6: trueno Core - Vector and Matrix Operations
16. 7. Chapter 7: Advanced trueno - GPU Acceleration
20. Part II: Transpilation Layer
21. 8. Chapter 8: Introduction to Transpilation
22. 9. Chapter 9: bashrs - Bash→Rust Transpiler
23. 10. Chapter 10: depyler - Python→Rust Transpiler
24. 11. Chapter 11: decy - Deno/TypeScript→Rust Transpiler
28. Part III: Machine Learning Pipeline
29. 12. Chapter 12: aprender - ML Training Framework
30. 13. Chapter 13: realizar - Inference Engine
31. 14. Chapter 14: entrenar - Distributed Training
35. Part IV: Database & Graph Infrastructure
36. 15. Chapter 15: trueno-db - Vector Database
37. 16. Chapter 16: trueno-graph - Graph Analytics
41. Part V: Orchestration & Profiling
42. 17. Chapter 17: batuta - Workflow Orchestration
43. 18. Chapter 18: renacer - Syscall Profiling
44. 19. Chapter 19: repartir - Work Stealing Scheduler
48. Part VI: Real-World Applications
49. 20. Chapter 20: Building a Sovereign ML Pipeline
50. 21. Chapter 21: EU Regulatory Compliance
51. 22. Chapter 22: Production Deployment
52. 23. Chapter 23: CITL - Compiler-in-the-Loop Learning
55. Appendix A: SPEC.md
56. Appendix B: Scientific Reproducibility
57. Appendix C: Toyota Way Principles