The textbook
Cognition Systems Engineering
Theory, Architecture, and Practice
The method behind where each step goes, written out in full: how to design work that people, AI models and plain code share — which step goes where, what checks each handoff, and how to tell when a step has earned a move. It builds on a century of production engineering, from Shewhart's control charts to Toyota and Six Sigma.
Cognition Systems Engineering
Theory, Architecture, and Practice
Christopher BenderShort on time? Start here
Four chapters carry most of what the website describes. Each opens straight in the reader.
Cognition Allocation Theory
Who does what: the parts of the work only a person brings, what a model can take, and how to decide between them.
Chapter 7The Cattle Dog Principle
Authority as structure: who may decide, who may act, and why the hierarchy is what holds the system up.
Chapter 10Statistical Process Control for Cognitive Systems
Control charts and capability for AI work: the evidence that tells you a step may move, or has to move back.
Chapter 14The QC Mesh Architecture
Checks at every handoff, and why several independent checks make unpredictable parts behave predictably.
Contents
Six parts, from what the discipline is to how it's practised.
The book is the long version. The work map is the one-minute version, and three mornings is the practical one: your own work, mapped and running, with your team. For the person who decides, there's the Doctrine.