
How to move from AI demo to production system
The practical gap between an impressive AI prototype and a reliable production system that teams can operate.
We occasionally write about building production AI systems, hard engineering decisions, and what actually works in the field.
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11 articles
Every article across AI, mobile, and backend engineering.
Practical notes on agentic AI workflows, human review, observability, and production automation that can survive real operations.
Architecture, performance, retention, and AI feature decisions for mobile apps that need to stay fast, useful, and maintainable.
Backend architecture, permissions, security, and production platform decisions behind durable AI and software systems.
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The practical gap between an impressive AI prototype and a reliable production system that teams can operate.

A practical Golub Softworks field note on designing agentic AI systems around real operational boundaries, not loose prompts and disconnected tools.