The Agentic AI Bible (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 51,13
Cantidad disponible: 1 disponible
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Paperback. The Complete Engineering Blueprint for Designing and Scaling LLM-Powered Autonomous AgentsAgent-based AI is no longer a futuristic dream-it's the next phase of intelligent software.Yet for most teams, the path to building real-world agentic systems is filled with chaos: bloated prototypes that can't scale, brittle tools duct-taped together, unclear architectures, and zero visibility into performance or safety.Most technical leaders are left asking the same questions: How do we move beyond demos to dependable systems?How do we orchestrate perception, reasoning, and action in complex environments?How do we design agents that can think, execute, and evolve-while remaining safe, observable, and maintainable?The Agentic AI Bible delivers clear, practical answers.Designed for engineers, system architects, and AI product leads, this comprehensive guide breaks down the entire lifecycle of agentic systems-from foundational design principles to deployment and real-world application-backed by current best practices, production-ready tools, and future-facing insights.Here is a mere fraction of what you will learn: The core principles and modular architecture patterns that power modern agentic systems so you can design agents with reasoning, memory, and planning from the ground upHow to implement LLM-powered agents with perception, action, and environment loops to create systems that can interact with the world, not just respond to promptsAdvanced behavioral patterns such as recursive reasoning, self-reflection, and goal reprioritization to ensure agents can adapt in real time3 secret design strategies for safety, reliability, and testability that prevent catastrophic errors and keep your agents under controlHow to connect your agents with external tools, APIs, and long-term workflows so they can handle multi-step tasks with real business impact6 benchmarking frameworks and evaluation metrics that help you measure intelligence, robustness, and operational readiness in complex settingsReal-world applications across industries-from finance to robotics-and how to tailor agent capabilities to domain-specific needsDeployment architectures, scaling strategies, and monitoring systems that ensure your agents don't just work, but continue improving over timeAnd much, much more!While other books skim the surface or focus narrowly on theory, The Agentic AI Bible delivers the full lifecycle-from architecture to deployment to governance-designed for professionals who need working systems, not academic demos.Whether you're building a personal AI assistant, a robotic process orchestrator, or a full-blown autonomous multi-agent system, this book offers the technical blueprint you need to deliver robust, goal-driven, LLM-powered agents that perform at scale.If you're ready to move past academic toy projects and start delivering agentic AI that works in production, this is the guide you've been waiting for. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798196919046
- Título
- The Agentic AI Bible (Paperback)
- Autor
- Thomas R. Caldwell
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798196919046
The Complete Engineering Blueprint for Designing and Scaling LLM-Powered Autonomous Agents
Agent-based AI is no longer a futuristic dream—it’s the next phase of intelligent software.
Yet for most teams, the path to building real-world agentic systems is filled with chaos: bloated prototypes that can’t scale, brittle tools duct-taped together, unclear architectures, and zero visibility into performance or safety.
Most technical leaders are left asking the same questions:
How do we move beyond demos to dependable systems?
How do we orchestrate perception, reasoning, and action in complex environments?
How do we design agents that can think, execute, and evolve—while remaining safe, observable, and maintainable?
The Agentic AI Bible delivers clear, practical answers.
Designed for engineers, system architects, and AI product leads, this comprehensive guide breaks down the entire lifecycle of agentic systems—from foundational design principles to deployment and real-world application—backed by current best practices, production-ready tools, and future-facing insights.
Here is a mere fraction of what you will learn:
-
The core principles and modular architecture patterns that power modern agentic systems so you can design agents with reasoning, memory, and planning from the ground up
-
How to implement LLM-powered agents with perception, action, and environment loops to create systems that can interact with the world, not just respond to prompts
-
Advanced behavioral patterns such as recursive reasoning, self-reflection, and goal reprioritization to ensure agents can adapt in real time
-
3 secret design strategies for safety, reliability, and testability that prevent catastrophic errors and keep your agents under control
-
How to connect your agents with external tools, APIs, and long-term workflows so they can handle multi-step tasks with real business impact
-
6 benchmarking frameworks and evaluation metrics that help you measure intelligence, robustness, and operational readiness in complex settings
-
Real-world applications across industries—from finance to robotics—and how to tailor agent capabilities to domain-specific needs
-
Deployment architectures, scaling strategies, and monitoring systems that ensure your agents don’t just work, but continue improving over time
- And much, much more!
While other books skim the surface or focus narrowly on theory, The Agentic AI Bible delivers the full lifecycle—from architecture to deployment to governance—designed for professionals who need working systems, not academic demos.
Whether you're building a personal AI assistant, a robotic process orchestrator, or a full-blown autonomous multi-agent system, this book offers the technical blueprint you need to deliver robust, goal-driven, LLM-powered agents that perform at scale.
If you're ready to move past academic toy projects and start delivering agentic AI that works in production, this is the guide you've been waiting for.
“Sinopsis” puede pertenecer a otra edición de este título.
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Vendedor de IberLibro desde 12 de octubre de 2005
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