Insights
Notes from the studio.
Engineering notes on AI, ML, custom apps, and the messy bits of shipping production software.
ai
Building Neutral AI: How We Ship Production Systems Without the Hype
Hype-free engineering principles for AI products that serve users, not nudge them. Grounding, refusal, evals, cost-bounding — the boring decisions that actually ship.
machine-learning
Machine Learning in Production: Beyond the Jupyter Notebook
A working model is not a working product. The full production ML stack — data pipelines, deployment patterns, monitoring, drift detection.