We wrote a build-from-scratch Python book on the 98% of production AI systems that isn't the model call [P]

The thesis: the model API call is about 2% of a production AI system's complexity. The surrounding infrastructure (model abstraction, session memory, RAG, tool integration, guardrails, observability, orchestration) is what determines whether a project ships or stays a. We just published the first 4 on Manning MEAP. It's a build-from-scratch Python book. You build a, service by service. Here's what's in the live: Platform SDK and API layer. platform = GenAIPlatform lazily initializes service clients, and a workflow decorator packages each workflow as an independently deployable container.