CAS Intelligence

Insights & research writing

Positions, methods and findings from people who build and teach intelligent systems. We do not call it a blog.

Why Architecture Matters: Production Exposes Every Abstraction You Skipped

Systems fail at the boundaries you did not understand. A case for teaching and designing from architectural first principles.

Foundation Models8 min

Reading a Transformer: A Method for Engineers

A repeatable method for analyzing transformer architectures: tokens, attention, FFNs, residuals — and the questions to ask at each layer of the stack.

Agents5 min

Autonomy Is a Dial, Not a Switch

Enterprise agents should earn scope gradually. A framework for staged autonomy: supervised first, shadow mode second, bounded autonomy third.

Engineering7 min

Grounding Is the Product: Where Enterprise AI Answers Fail

Most enterprise answer-system failures are grounding failures wearing a generation costume. Measuring grounding separately changes how you fix systems.

Education4 min

Teaching Engineers, Not Users

The industry needs people who can build intelligent systems, not only operate them. The philosophy behind CAS Studies.

Computer Vision6 min

Vision Systems That Survive Contact With Reality

Demo accuracy and deployment accuracy are different metrics. Data engines, calibration and failure taxonomies for production perception.