AI System Design Patterns: The Architecture Decisions That Make or Break Production AI Most teams choose their AI architecture the same way they choose a restaurant on a busy Friday night. They go with whatever worked last time and hope for the best. That instinct is expensive. Because AI systems fail in ways traditional software does not. They degrade silently. They scale unevenly. They consume infrastructure that was never designed to handle the memory, latency, and non-determinism that production AI demands. The architecture you pick on day one will either accelerate you or quietly strangle you eighteen months later. This is a practitioner’s guide to the major AI system design patterns , what each one is, where it genuinely wins, and where it falls apart when exposed to real conditions. Press enter or click to view image in full size Genrated by AI Why AI Architecture Is Not Just Software Architecture with a Model Plugged In Traditional software is predictable. You write a func...