Knowledge Base
High-signal doctrine for production AI architecture and operational discipline. If you're new here, start with the framework path below.
Subject Filter // architecture
Framework Reading Path
The shortest route into the doctrine system: model, containment, regression discipline, then release authority.
Probabilistic Core / Deterministic Shell: Containing Uncertainty Without Shipping Chaos
Two-Key Writes: Preventing Accidental Autonomy in AI Systems
The Heavy Thought Model for AI Systems
Retrieval Boundaries: What Your AI System Is Allowed to Know
Fundamentals of AI
0 ArticlesTechnical Deep Dives
5 ArticlesNLP and Large Language Models (LLMs)
Generative AI
Technical Guide
Probabilistic Core / Deterministic Shell: Containing Uncertainty Without Shipping Chaos
A production architecture pattern: treat the model as a probabilistic component and wrap it in deterministic contracts, budgets, and enforcement so the system stays operable.
Technical Guide
The Heavy Thought Model for AI Systems
A governed control-plane doctrine for reliable AI architecture: six layers, three disciplines, and one coherent model for turning probabilistic capability into operable systems.
Technical Guide
Retrieval Boundaries: What Your AI System Is Allowed to Know
Retrieval is not a search feature. It is the runtime memory boundary that determines what evidence your AI system is allowed to admit, cite, and act on.
Technical Guide
Generative AI Reference Architecture: A Systems Guide for Production Engineers
An engineer-first generative AI reference architecture: what models optimize, how inference behaves, and which deterministic boundaries make production systems operable.
Practical Implementation Guides
2 ArticlesAI Application in Technical Architecture and Systems Design
Technical Guide
Two-Key Writes: Preventing Accidental Autonomy in AI Systems
A write-gating doctrine: require two independent approvals before any model-proposed action can change external state.
Technical Guide
Architecture Principles for AI Products
Core architecture principles for shipping AI products with clear boundaries, observability, evaluation, policy control, and reliable operational discipline.