As AI agents become more capable, one question keeps bothering me:

What actually controls execution authority once an AI decides to act?

A lot of current AI governance focuses on:

model alignment

moderation

observability

monitoring

logging

post-event analysis

But there’s a different layer that I think deserves more attention:

The execution boundary.

So I built a small open source project called the PFC Authority Flip Demo to explore that idea.

GitHub repo:

https://github.com/danlevans1/pfc-authority-flip-demo

The Core Idea

An AI agent may propose an action.

But proposal should not automatically equal authority.

The demo simulates:

an AI request

policy evaluation

authority revocation

execution blocking

signed governance receipts

deterministic replay verification

The important part is this:

The system doesn’t just log what happened.

It deterministically decides whether execution authority exists before the action can affect the real world.

What Is an “Authority Flip”?

In the demo,…