The Invisible Trap: Why Gateway Buffering Destroys Streaming AI

When AI responses are buffered instead of streamed, users perceive the system as broken even when code is perfect — a perception problem with deep architectural roots. Gateway buffering between your service and APIs invisibly transforms real-time token delivery into batch responses, and most observability tools inadvertently make this worse by intercepting and forwarding instead of preserving flow. Understanding this architecture problem is critical for any team deploying AI agents at scale.