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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.
Choosing not to add AI to a process is an engineering decision too. A short framework for deciding whether a language model belongs in the system at all.
Retrieval-augmented generation is easy to prototype and hard to operate. The failure modes that matter live in retrieval quality, grounding, and verification.
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.