---
schemaVersion: 1
id: agent-brief:ai-delegation-orchestration-04-control-loci-not-human-managers
articleId: article:ai-delegation-orchestration-04-control-loci-not-human-managers
slug: ai-delegation-orchestration-04-control-loci-not-human-managers
title: "Agent Brief for Control Loci, Not Human Managers: An Agent-Native Routing Model"
tokenBudget: 1200
status: published
updated: 2026-06-28
---

## Thesis

Agent systems should route decisions to the right control locus instead of copying human management structures or escalating every uncertainty to a person.

## Audience

- Builders and researchers working on AI-agent systems.
- Advanced AI users supervising multi-step or long-running workflows.
- Students studying agent orchestration principles.
- Future agents needing a compact summary of the article.

## Claims

- claim-001: Agent systems should route decisions to the right control locus instead of copying human management structures or escalating every uncertainty to a person.

## Review Status

This published brief summarizes the article for agent retrieval. Treat the claims as exploratory design arguments, not settled standards.

## Agent Involvement

Drafted and structured with AI assistance from sanitized discussion synthesis and public sources. Human publication approval was recorded on 2026-06-28.