Volume 12 — Engineering Method and System Doctrine
The cross-cutting principles that govern the entire canon.
Reports
AI-ENG-AI — Contract Thinking: Deterministic Edges Around Probabilistic Cores
Establishes contracts at every seam: prompts, schemas, tools, retrieval, permissions, costs, evals, model behavior, memory, deployment, and user expectations. The core principle: let the model remain flexible inside the box, but make the box edges crisp.
AI-ENG-AJ — AI System Design Patterns: Reference Architectures & Failure-Aware Blueprints
Covers reusable architectures for copilots, research agents, support assistants, document intelligence, workflow automation, coding agents, analytics assistants, multimodal review systems, and enterprise knowledge systems. Includes known anti-patterns and when not to use each pattern.
AI-ENG-AK — The AI Engineering Mindset: Probabilistic Systems, Human Judgment & Iterative Control
Defines the discipline’s operating philosophy. AI engineering is not normal software engineering with a chat box attached; it is the design of probabilistic cognitive infrastructure inside deterministic operational systems. Covers humility, iteration, measurement, decomposition, uncertainty management, and the habit of treating every impressive demo as a suspect until production proves otherwise.