AI Alignment is a Systems Architecture Problem, Not a Prompt Problem

Introduction

For the last year and a half, I have been building SAFi (the Self-Alignment Framework Interface). It is a self-hosted, fully open-source runtime governance engine for AI agents licensed under the AGPL-3.0.

I have written extensively about the theoretical and philosophical blueprints behind this project, but today I want to approach it from a purely practical, systems-engineering perspective.

Full disclosure: I have worked in IT infrastructure and systems architecture for over 20 years. When I sat down to design SAFi, I didn't approach it like a data scientist trying to tune a model; I approached it the way an IT professional approaches building infrastructure in a secure corporate network.

The Core Philosophy: External Zero-Trust Governance