The next stage of AI automation is not simply adding more tasks to one assistant. It is creating specialized AI agents with clearly defined jobs, controlled tools, measurable responsibilities, and appropriate human oversight.
Building an AI Workforce with Claude explains how to design that kind of system.
You will learn how to define an AI agent, write durable instructions, create guardrails, provide tools, implement function calling, and move work between specialized agents.
The book then applies those principles to real organizational functions. You will build conceptual designs for coding agents, QA and testing agents, DevOps and release agents, research analysts, competitive intelligence agents, document and knowledge-base agents, operations coordinators, customer support agents, marketing agents, and sales and CRM agents.
The later chapters address multi-agent orchestration and governance. You will learn when multiple agents are justified, how tasks should be routed, how handoffs should work, where humans need to approve decisions, and how audit logs and review processes can keep an AI workforce accountable.
For developers, technical leaders, founders, enterprise architects, automation builders, and organizations exploring AI agents, this book provides a practical framework for turning autonomous AI from an abstract concept into a set of defined digital workers.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. The next stage of AI automation is not simply adding more tasks to one assistant. It is creating specialized AI agents with clearly defined jobs, controlled tools, measurable responsibilities, and appropriate human oversight.Building an AI Workforce with Claude explains how to design that kind of system.You will learn how to define an AI agent, write durable instructions, create guardrails, provide tools, implement function calling, and move work between specialized agents.The book then applies those principles to real organizational functions. You will build conceptual designs for coding agents, QA and testing agents, DevOps and release agents, research analysts, competitive intelligence agents, document and knowledge-base agents, operations coordinators, customer support agents, marketing agents, and sales and CRM agents.The later chapters address multi-agent orchestration and governance. You will learn when multiple agents are justified, how tasks should be routed, how handoffs should work, where humans need to approve decisions, and how audit logs and review processes can keep an AI workforce accountable.For developers, technical leaders, founders, enterprise architects, automation builders, and organizations exploring AI agents, this book provides a practical framework for turning autonomous AI from an abstract concept into a set of defined digital workers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798192561560
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Taschenbuch. Condition: Neu. Neuware - The next stage of AI automation is not simply adding more tasks to one assistant. It is creating specialized AI agents with clearly defined jobs, controlled tools, measurable responsibilities, and appropriate human oversight.Building an AI Workforce with Claude explains how to design that kind of system.You will learn how to define an AI agent, write durable instructions, create guardrails, provide tools, implement function calling, and move work between specialized agents.The book then applies those principles to real organizational functions. You will build conceptual designs for coding agents, QA and testing agents, DevOps and release agents, research analysts, competitive intelligence agents, document and knowledge-base agents, operations coordinators, customer support agents, marketing agents, and sales and CRM agents.The later chapters address multi-agent orchestration and governance. You will learn when multiple agents are justified, how tasks should be routed, how handoffs should work, where humans need to approve decisions, and how audit logs and review processes can keep an AI workforce accountable.For developers, technical leaders, founders, enterprise architects, automation builders, and organizations exploring AI agents, this book provides a practical framework for turning autonomous AI from an abstract concept into a set of defined digital workers. Seller Inventory # 9798192561560
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Paperback. Condition: new. Paperback. The next stage of AI automation is not simply adding more tasks to one assistant. It is creating specialized AI agents with clearly defined jobs, controlled tools, measurable responsibilities, and appropriate human oversight.Building an AI Workforce with Claude explains how to design that kind of system.You will learn how to define an AI agent, write durable instructions, create guardrails, provide tools, implement function calling, and move work between specialized agents.The book then applies those principles to real organizational functions. You will build conceptual designs for coding agents, QA and testing agents, DevOps and release agents, research analysts, competitive intelligence agents, document and knowledge-base agents, operations coordinators, customer support agents, marketing agents, and sales and CRM agents.The later chapters address multi-agent orchestration and governance. You will learn when multiple agents are justified, how tasks should be routed, how handoffs should work, where humans need to approve decisions, and how audit logs and review processes can keep an AI workforce accountable.For developers, technical leaders, founders, enterprise architects, automation builders, and organizations exploring AI agents, this book provides a practical framework for turning autonomous AI from an abstract concept into a set of defined digital workers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798192561560
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