Blog
Thinking out loud
On AI engineering, data infrastructure, and building things that ship.
Closed vs Open Models in 2026: How to Choose
A practical guide to choosing between closed-source and open-weight AI models for enterprise use cases.
Proxmox vs Kubernetes: Choosing the Right Cluster for AI Workloads
A practical comparison of Proxmox and Kubernetes for teams running AI and ML infrastructure.
Why AI Hallucinates (And What You Can Actually Do About It)
What hallucination really means, why large language models do it, and practical strategies to reduce it in production.
Building AI Systems That Actually Ship
Why the gap between AI demos and production systems is wider than most teams expect, and what to do about it.