We write about what we learn: from client work, from building tools, and from navigating the gap between what AI promises and what institutions actually need.
No thought leadership for the sake of it. If we publish something, it's because we think it's useful.
Articles
Model Diagnostics
May 5, 2026
Training neural networks feels less like opening a black box and more like diagnosing a patient. A look at the craft behind the engineering.
The Cloud Reflex, Part 1: What is the Cloud, Actually?
January 13, 2026
An introduction to the Cloud Reflex
The paradox of AI in 2025
November 21, 2025
Exploring the paradox of AI in 2025 and practical strategies to overcome it.