Developmental Knowledge Engineering Handbook

The engineering specification for governed knowledge institutions.

Building an AI system that answers well is one task. Building an institution that can say what it knows, why, who authorized it and what is still unresolved is another. This handbook covers the second.

Inside

• Part I, Foundations of Practice: becoming a Developmental Knowledge Engineer, starting an institution, repository architecture and the governance plane.
• Part II, the Eight Institutional Planes: evidence, knowledge, development, representation, agent, measurement, verification and certification.
• Part III, Integration and Operational Governance: interfaces, workflows, change management, auditing, resilience and evolution.
• Part IV, Enterprise Implementation: capability-driven development, institutional software architecture, AI-native institutions, deployment, scaling, quality engineering and the full lifecycle.

"Certification" in this book is an internal institutional process, described in the text. It is not an external credential offered by the author or publisher.

Who it is for

Engineers, architects, researchers and graduate students building or governing AI-assisted knowledge systems.

Written and directed by Oscar M. Flores in collaboration with AI systems that assisted with analysis, drafting, and editing. Volume II of the Developmental Knowledge Engineering series. This book presents a developed theory. It is not legal, regulatory, compliance, audit, or other professional advice, and it has not been established through formal academic peer review.