Journal
Engineering notes for leaders with real systems.
Technical and executive-facing writing on AI engineering, modernization, evaluation, and what survives when market narratives break.
- Oct 27, 2026China’s AI Bubble Has Burst — What Operators Should Actually LearnChinese AI and tech equities have sold off hard in 2026. The lesson for operators is not ‘AI is over’ — it is that narrative capital and production engineering are different games.
- Oct 27, 2026Why AI Pilots Fail in Production — And How Engineering Teams Prevent ItMost AI pilots die the same way: no data path, no evaluation set, no owner after the workshop. Here is the failure pattern and the engineering sequence that breaks it.
- Oct 26, 2026What AI Engineering Actually Means (And What It Is Not)AI engineering is not a chatbot studio and not a seventy-slide roadmap. It is the discipline of shipping AI into live estates — with data, evaluation, and handover.
- Oct 25, 2026How to Evaluate an Enterprise AI System Before You ShipIf you cannot name the failure modes, the acceptance cases, and who can pause the system, you are not ready for production — no matter how good the demo looks.
- Oct 24, 2026AI-Led Legacy Modernization Without a Big-Bang RewriteMission-critical systems rarely survive replacement theater. Use AI to characterize and modernize in controlled steps — and keep the business running.
Topics we write about
Editorial focus.
- Modernizing legacy systems with AI-assisted engineering
- Moving enterprise AI pilots into production
- Evaluating AI systems before deployment
- AI market narratives vs production reality
- Preparing enterprise data for reliable AI
- Managing technical risk during modernization