1. Minimalism:
    Seek the smallest set of primitives and axioms capable of expressing complex organizational and epistemic behavior.

  2. Structural Clarity:
    Prioritize architectures that explicitly define agency, causality, and temporal structure.

  3. Verifiability:
    Ensure that actions, states, and decisions can be traced, validated, and audited.

  4. Domain-Agnostic Design:
    Build models that generalize across scientific, organizational, and regulatory environments.

  5. Epistemic Integrity:
    Treat knowledge systems as infrastructures whose design affects the reliability of conclusions drawn from them.

  6. Operational Realism:
    Favor models that can be instantiated in software, institutions, or protocols, not merely theorized.