Beyond Single Models: Why AI Architecture Beats Model Selection

Rather than debating the best LLM, modern AI systems succeed through specialized multi-component architectures where different models handle distinct tasks via orchestration layers. This shift from monolithic single-model approaches to distributed, specialized systems delivers measurable improvements in cost, latency, and consistency. Understanding architecture-first thinking is now more critical than model selection itself.