Constitution Engine: a policy layer for agent systems

Before an agent acts, a system needs a clear answer to a basic question: is this action allowed, denied or waiting for human review?

I designed and implemented a backend prototype for that control layer. It evaluates versioned policies, records decisions and outcomes, supports escalation, and links decision records in a tamper-evident chain.

The work focuses on explicit authority, traceability and deterministic behavior around future AI-operated workflows.

This is a backend prototype, not a deployed AI service. The implemented path does not call a live language model or operate external tools. It demonstrates governance data modeling and control logic without implying production adoption or certification.