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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.