{ "item_title" : "Stateful AI Engineering", "item_author" : [" Moment Tech "], "item_description" : "Stateful AI Engineering: Building Memory, Context, and Intelligent Agent Systems by MOMENT TECH is a comprehensive, systems-level guide to designing and building modern AI architectures that go far beyond simple prompt-response models.As AI systems evolve from static large language model applications into autonomous, multi-step agent systems, the real engineering challenge is no longer just model usage, but state management, memory design, context orchestration, and long-running intelligent behavior. This book provides a structured, production-oriented approach to solving that challenge.Unlike surface-level AI guides, this book focuses on the underlying infrastructure that powers real-world intelligent systems. It teaches how to design AI systems that can remember, reason, adapt, and evolve across time and interactions.What You Will LearnInside this book, you will learn how to: Design stateful AI architectures that maintain persistent memory across sessionsBuild context engineering pipelines that improve reasoning quality and stabilityImplement agent-based systems using structured workflows and graph-based execution modelsDevelop durable memory systems using event sourcing and long-term storage strategiesArchitect retrieval systems that combine vector search, memory ranking, and contextual relevanceDeploy production-ready AI systems that scale across distributed infrastructureOptimize performance, latency, and cost in real-world AI applicationsDesign self-improving systems that incorporate feedback loops and adaptive behaviorWho This Book Is ForThis book is designed for: AI engineers and machine learning practitionersSoftware engineers building AI-powered applicationsData scientists transitioning into AI system designBackend engineers working on LLM-based productsAdvanced learners interested in agentic AI systems and architectureA solid understanding of Python and basic machine learning concepts is recommended.What Makes This Book DifferentMost AI resources focus on using models. This book focuses on engineering intelligence systems.Instead of treating AI as isolated prompts or APIs, this book teaches you how to build: persistent memory systems that survive across sessions and failuresmulti-agent architectures that coordinate complex reasoning tasksgraph-based execution systems for adaptive workflowsscalable backend infrastructures for production AI deploymentsoptimization strategies for real-world performance and cost constraintsIt bridges the gap between LLM experimentation and real AI system engineering.A Systems-Level Approach to Modern AIThrough detailed explanations, architectural breakdowns, and practical Python implementations, this book walks you through building AI systems that behave less like tools and more like continuous intelligent systems.You will move from: simple prompt engineering → to structured AI architecture design → to production-grade intelligent systems engineeringConclusionStateful AI Engineering is a foundational guide for engineers who want to move beyond experimentation and into building real-world AI systems with memory, structure, and long-term intelligence.If you are serious about designing the next generation of AI applications, this book provides the blueprint.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/839/9798198393295_b.jpg", "price_data" : { "retail_price" : "35.00", "online_price" : "35.00", "our_price" : "35.00", "club_price" : "35.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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