SKU/Artículo: AMZ-B0FX24B56D

Agentic AI Systems: Foundations, Patterns, and Architectures — The MUTTA Approach to Building Production-Grade AI Agent Systems

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.25 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Stop fighting with fragile AI agent systems. Start building production-grade architectures that actually work.Most developers building AI agent systems focus on prompts and models—but miss the critical foundation: architecture. The result? Systems that break in production, accumulate errors, and become unmaintainable.Agentic AI Systems: Foundations, Patterns, and Architectures provides the systematic framework that's been missing. This book introduces the MUTTA architecture—a proven pattern for structuring AI agent services that are modular, maintainable, and reliable.What You'll LearnThis comprehensive guide takes you from fundamental concepts to production deployment:Foundations & ArchitectureThe progression from simple prompts to autonomous agents—and when to use eachHow to structure agent systems as composable services with clear inputs and outputsThe MUTTA pattern: Manager, Utilities, Tools, and Agents file organizationMulti-agent coordination patterns: parallel, handoff, and systematic architecturesThe Rule of 20 and service depth constraints to prevent error accumulationData Quality & Error PreventionWhy "garbage in, garbage out" is critical for agent systems—and how to prevent itThe embedding-based input alignment heuristic for minimizing errorsMathematical foundations of error propagation in sequential systemsRecursive alignment techniques for multi-agent pipelinesUniversal Reusable PatternsRAG (Retrieval Augmented Generation): Overcome knowledge limitations and reduce hallucinationsNavigator Pattern: Intelligently explore codebases, databases, and structured dataCode Interpreter: Enable unlimited problem-solving through code executionTool Selector: Manage thousands of tools without overwhelming context windowsError Correction & VerificationLazy Agent Check pattern for knowledge-based verificationOverseer pattern for quality assurance and spot-checkingStrategy selection based on action criticality (reversible vs. irreversible)Logical fault checking for mathematical proofs and reasoning tasksPractical ApplicationsComplete case studies: chat service, academic researcher, marketing engineTemplates and working code examples throughoutHow to encode MUTTA into coding agent rules (Cursor, GitHub Copilot)Best practices distilled from production systemsWho This Book Is ForSoftware engineers, ML engineers, researchers, and technical architects building AI agent systems. Anyone transitioning from prompt engineering to systematic agent development.Prerequisites: Basic Python and LLM familiarity. No deep AI expertise required.Why This Book Is DifferentWhile most AI resources focus on prompts and models, this book teaches you how to architect systems that remain robust as they scale. The MUTTA pattern is framework-agnostic—apply these principles with any SDK or framework.Every pattern is illustrated with complete, working Python examples using the OpenAI Agents SDK—chosen for its minimalist approach that teaches fundamentals applicable anywhere.Build Deliberately. Build Systematically. Build Robustly.Transform from building fragile prototypes to architecting production-grade AI agent systems. The future of AI is agentic—and this book equips you to build it.Perfect for: Individual developers, engineering teams adopting AI agents, and organizations building production AI systems.
AR$50.948
44% OFF
AR$28.306

IMPORT EASILY

By purchasing this product you can deduct VAT with your RUT number

AR$50.948
44% OFF
AR$28.306

Pagá fácil y rápido con Mercado Pago o MODO

Llega en 8 a 12 días hábiles
con envío
Tienes garantía de entrega
Este producto viaja de USA a tus manos en