Stop Using LLMs for Everything: The Power of Hybrid Architectures

Over the past month my thinking about AI systems changed dramatically. Many teams are quietly making the same architectural mistake: They use LLMs for problems that should remain deterministic. The result is predictable: higher latency higher cost lower reliability harder debugging The irony? Most intelligent systems don't need AI. They need better architecture. The common narrative today is simple: Intelligence = large probabilistic models. This assumption quietly pushes many teams into a dangerous design mistake: using probabilistic models for problems that should remain deterministic.