NOMOS GBO — Generative Behavior Optimization (English Edition, v1.0.0)

AI agents need more than useful answers: they need clear authority, safe limits and a reliable way to stop. Generative Behavior Optimization (GBO) is the proposed design and governance framework in this six-language book for deciding who an agent acts for, what it can do, when it may act and how people retain control.

Designing Not Just What AI Says, but What It Does

An AI agent’s completion of a task does not show that it acted correctly. We also need to know on whose behalf it acts, what it can actually do, under which conditions it may act and how it can be stopped. This book gives technical teams and organisational leaders a shared framework for discussing those questions.

NOMOS GBO is a design and governance framework proposed here. The contracts, gates, measures and maturity levels in this book do not represent an accepted international standard, a certification or a security guarantee for an implemented product. Nor does the existence of a schema prove that its rules have been technically enforced.

The first three chapters establish the distinction between discovery, representation and action. Chapters four to eight examine five core behavioural contracts. The last four chapters discuss how to govern them within an organisation, measure them, protect them against manipulation and restore human control.

This edition was prepared from fourteen chapter files supplied by the author. AI-assisted editorial tools were used for editing, consistency checks and source checks. The cover artwork was generated with AI; its typography was set separately. This disclosure does not imply independent human editorial review or academic peer review.

© 2026 Kaan Muraz. This work is licensed under a Creative Commons Attribution 4.0 International licence (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/