Access — Consent Architecture for AI Agents
Josue Perez
Status: Live operational system · Internal daily use
Access is the permission model governing my own AI agents. It separates technical capability from authorization, defines when an agent may act, draft, or must refuse, and makes those decisions testable in a public interactive artifact.
What it demonstrates
Permission is distinct from technical access
High-consequence actions can require human approval
Some capabilities are intentionally absent rather than merely prohibited
Refusal behavior can be tested before an agent is trusted with real work
Policy is mounted read-only so the agent cannot redefine what “permitted” means
Evidence and limits
This is a live operational system used in my own AI practice. It is not presented as a client deployment or as proof that autonomous agents are universally safe.
Like this project
Posted Sep 8, 2026
Designed the operational permission model governing my own AI agents, separating technical access from authorization and making refusal behavior testable in an interactive public artifact.
