Blog
Notes from turning ideas into live, running products — AI products, cloud storage, SEO and full-stack practice. The brief is short and frequent; this is long and occasional.
- 2026-06-25 What Happens After You Ship: Keeping Live Products Healthy This guide targets engineering leaders and AI/ML product teams on sustaining post-launch product health. It argues that shipping is just the start — observability, resilience, and model lifecycle management are essential for long-term AI product success. Key takeaways: instrument before launch, treat models as living systems, and build proactive operational review rhythms. Read →
- 2026-06-25 How to Design a Scalable AI Architecture for Production in 2026 A practitioner's guide to scalable AI architecture for production systems in 2026, targeting engineering leads, architects, and developers. Core argument: AI failures stem from architecture, not models. Key takeaways: define system contracts first, separate data/model/application planes, and instrument observability from day one. Read →
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