Articles
The Inference-Time Configuration Series
A three-part investigation into why frontier AI models produce mediocre output by default, the systematic failure modes responsible, and the interaction design framework that closes the gap.
Part 1
Why Frontier AI Models Are Architecturally Underutilized
The gap between what models can do and what they actually do in default operation — and why that gap is a design problem, not a scaling problem.
18 min readPart 2
The Eight Failure Modes of Default AI Reasoning
A diagnostic taxonomy of the systematic reasoning failures that emerge when frontier models operate without cognitive configuration.
24 min readPart 3
Cognitive Leverage: How Semantic Architecture Outperforms Brute-Force Compute
The evidence that interaction design produces measurably superior outputs to model scaling — and what that means for the future of AI deployment.
20 min readFull article content will be published in a future module.