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Featured · Jun 15, 2026
From prototype to production: an AI architecture checklist
The gap between a working AI demo and a system that operates in production is mostly engineering, not modeling — a practical checklist for closing it.
You cannot operate an AI system you cannot see. What to trace, what to store, and why audit trails are a feature, not overhead, in production AI.
Automation does not mean removing people — it means putting their judgment where it changes the outcome. Designing review queues that stay fast as volume grows.