{"product_id":"ai-agent-system-design-julian-f-faraday-9798231664863","title":"AI Agent System Design: How to Build LLM Applications, Architect LLM Agents, and Engineer Real-World AI Systems","description":"\u003cp\u003e\u003cstrong\u003eAI Agent System Design: How to Build LLM Applications, Architect LLM Agents, and Engineer Real-World AI Systems\u003c\/strong\u003e\u003cbr\u003eBy Julian F. Faraday\u003c\/p\u003e\u003cp\u003eAI is moving faster than any technology in history - but most teams are still stuck building \u003cem\u003edemos\u003c\/em\u003e instead of \u003cem\u003edeployable systems\u003c\/em\u003e. This book changes that.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAI Agent System Design\u003c\/strong\u003e is the first end-to-end, engineering-focused guide that teaches you how to build real LLM applications, architect reliable agent systems, and design production-ready AI workflows that scale. Whether you're an engineer, architect, technical product lead, or founder, this book shows you how to move from prototypes that impress... to systems that endure.\u003c\/p\u003e\u003cp\u003eWhile other books stay high-level or theoretical, this one is unapologetically practical. You'll learn how modern AI systems actually work - across models, data architecture, RAG pipelines, tools, APIs, function calling, safety layers, orchestration frameworks, agents, evaluation, observability, performance, and deployment.\u003c\/p\u003e\u003cp\u003eBuilt on real engineering lessons, modern patterns, and field-tested architectures, this is your blueprint for building AI that works in the real world.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDesign AI systems that are fast, safe, and scalable\u003c\/strong\u003e\u003cbr\u003eMove from naïve prompt hacks to reliable interfaces, schemas, guardrails, and orchestration pipelines used by professional AI teams.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBuild LLM agents without the hype\u003c\/strong\u003e\u003cbr\u003eUnderstand what an agent truly is, how agent loops work, when memory helps (and when it doesn't), and how to avoid runaway, unstable, or unpredictable behaviors.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMake RAG actually work\u003c\/strong\u003e\u003cbr\u003eChunking, indexing, metadata, reranking, hybrid search, evidence routing, evaluation - a complete RAG engineering playbook.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEngineer real-world tools and function calling\u003c\/strong\u003e\u003cbr\u003eImplement planning, multi-step reasoning, multi-tool pipelines, and agent-tool collaboration with correctness guarantees.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster evaluation beyond \"it feels good\"\u003c\/strong\u003e\u003cbr\u003eLearn measurable metrics, test harnesses, AI-as-a-judge systems, stress testing, edge-case validation, and regression protocols.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eScale for performance, cost, and reliability\u003c\/strong\u003e\u003cbr\u003eLatency patterns, inference optimization, caching systems, routing strategies, load balancing, and cost engineering.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDeploy and operate production-grade AI systems\u003c\/strong\u003e\u003cbr\u003eMonitoring, logging, drift detection, governance, model versioning, and continuous improvement workflows.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThis book is designed for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAI Engineers \u0026amp; ML Engineers\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eSoftware Engineers\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProduct Leaders \u0026amp; Founders\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTechnical Architects \u0026amp; Researchers\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you want to build \u003cstrong\u003eLLM applications that don't collapse under real users, real data, or real scale\u003c\/strong\u003e, this book will become your most-used reference.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eA New Standard for AI Engineering Books\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- End-to-end architecture patterns\u003cbr\u003e- Real examples and case studies\u003cbr\u003e- Failure modes and how to avoid them\u003cbr\u003e- Practical micro-modules at the end of every chapter\u003cbr\u003e- A complete library of agent and system design patterns\u003c\/p\u003e\u003cp\u003eThis is not a conceptual overview or an academic text.\u003cbr\u003eThis is a \u003cstrong\u003ehands-on engineering guide\u003c\/strong\u003e for people who want to build.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eStop building demos. Start engineering systems.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you're ready to build the next generation of intelligent applications - not just talk about them - this book is your blueprint.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Julian F. Faraday\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798231664863\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Richa Publishing Minds\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/09\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 464\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.36lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.94d","brand":"Julian F. 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