Designing AI Systems book tackles production AI infrastructure

This book addresses the biggest gap in AI development right now: moving from a Jupyter notebook demo to a reliable backend service. Custom model adapters avoid vendor lock-in and enable intelligent fallback routing. The four-tier session memory strategy solves context window degradation for long-running RAG apps. Relying on gRPC and Protocol Buffers establishes a mature, enterprise-ready microservices architecture. It validates that the internal LLM platform is becoming standard infrastructure, not just a one-off feature.