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What is Janus

Traceable governance for AI-assisted systems

Overview

Janus is a governance core for systems where humans, software, and AI participate in decision processes.

Janus does not execute business logic. It governs how system evolution is evaluated, recorded, and reconstructed.

The problem

Most systems record what happened. Very few systems record what should have happened but did not.

This becomes critical in AI-assisted environments, where omissions and missing validations can create risk.

The Janus approach

Janus evaluates governance conditions rather than application logic. Key ideas include the evidence model (E+ / E−), governance events, human authority, the audit writer boundary, and deterministic rebuild.

activity → evaluation → governance event → audit log → rebuildable state

Governance flow

Janus governance flow diagram

Paper 1 — Janus Foundational Paper (v1.0) →

Paper 2 — Janus: Evidence-Based Governance for AI-Assisted Development Systems (v1.0) →

The governance flow shows the conceptual boundary: governance sits above execution and ensures evidence, auditability, and rebuildable state.

The Governance Gap

Most systems fail not because of incorrect actions, but because of missing actions that are never evaluated. This gap becomes critical in AI-assisted environments, where omissions remain invisible to traditional logging and post-hoc analysis.

Janus addresses this gap by introducing governance directly into the execution loop, enabling systems to detect, evaluate, and record not only what happened, but also what should have happened and did not.

Read Paper 3 — The Missing Decision Layer →