Analysis
A Practical Guide to Evaluating Production AI Architecture
Bringing an AI system from prototype to production is a different discipline from building a proof-of-concept. In a research notebook you can tolerate a slow inference step, a model that occasionally returns nonsense, or a pipeline that needs manual restarts. In production, every one of those flaws becomes a customer-facing incident, a support ticket, or a silent drain on compute budget. Before you commit an architecture to serve live traffic, you need a structured way to ch
7 min read