ReDeterministic Systems, Verification, and Governance

This site documents the work of Jonathan Arvay, an independent researcher focused on deterministic systems, verifiable specifications, and governance frameworks for complex technical domains. The primary area of research centers on defining and enforcing clear boundaries between problems that can be answered deterministically and those that inherently require human, legal, or contextual judgment.

A recurring challenge in modern AI and automated systems is the inappropriate application of probabilistic behavior in domains where consistency, auditability, and predictability are required. This work addresses that challenge by emphasizing fixed rules, explicit domain separation, and formally defined refusal conditions as correct system behavior rather than failure.

The No Fate Contract

The No Fate Contract is a canonical, cryptographically verifiable framework that formalizes deterministic boundaries for AI behavior. It establishes a method for classifying questions and actions according to whether they fall within deterministic, machine-answerable domains or outside them.

Rather than optimizing for adaptive responses, the framework prioritizes correctness, immutability, and long-term stability. All canonical documents are released as version-locked artifacts and are signed using public-key cryptography to enable independent verification.

The No Fate Contract is published openly and maintained as a reference specification, with a clear separation between normative rules and discretionary interpretation.

Canonical Release:
https://github.com/lastmanupinc-hub/no-fate-contract/releases/tag/v1.0.0

Verification and Integrity

All published materials are designed to be independently verifiable. Canonical documents are distributed with detached GPG signatures and SHA-256 checksums, allowing third parties to confirm both authenticity and integrity.

Verification is treated as a first-class requirement rather than an optional feature. This approach ensures that references to the work remain stable over time and that published specifications cannot be silently altered or reinterpreted.

Scope of Work

This site serves as a reference point for work related to:

  • Deterministic boundary systems

  • AI refusal logic and constraint enforcement

  • Formal domain separation

  • Verifiable governance mechanisms

  • Cryptographic signing and canonical publication practices

The materials published here are intended for researchers, engineers, auditors, and governance practitioners who require clarity, reproducibility, and auditability in technical systems.

Authorship and Stewardship

All content published on this site is authored and maintained by Jonathan Arvay. Canonical works are stewarded with the goal of long-term stability, clear attribution, and transparent verification.volutionize Your Online Presence