9. Appendices
A. Core Definitions
Key terms from the CARS system narrative and training (e.g., Big Tech, Exit, Driver, Slot).
B. Profile Construction Basics
Quick reference for building CAR Profiles manually or with AI Assistants.
C. Public Onboarding Narrative
Gamified story, mission framing, race structure, and metaphors (Enforcer, Saboteur).
D. SLOT Framework and Glossary
Definition of SLOTs, categories, structure, examples, and rules for submission.
E. Threat Modelling Reference Matrices
Suggested risk profiles, attacker models, and scenario-specific threat surfaces.
F. Developer Utilities & Templates
Checksum generators, QR code loader integration, example Markdown tools.
G. 10-Step Training Curriculum Overview
Summary and reference of how each step aligns to sections of the CARS specification.
H. Licensing, Attribution & Creative Commons Info
Open-source licensing and attribution policy for contributors and educators.
I. 12 Principles of Digital Freedom
Official values and operational ethics of the DFA and CARS-aligned development.
J. Ethical Outreach and Community Growth
Recommended practices for awareness, training, and advocacy without coercion.
K. Roadblocks Index
Reference list of key obstacles to digital freedom introduced throughout the 10-Step training and reflected in the CARS system. Includes internal and external resistance factors and guidance on mitigation.
L. White Paper Outline
Structure for a formal white paper introducing the CARS Digital Privacy System.
M. Contributors & Acknowledgements
Primary authors and supporters who contributed to the creation and development of CARS.
N. Payments, Pricing & Contribution Models
Describes the PWYW approach, anonymous payment options, and non-financial ways to support the project.
