Agents at Work : Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python
Language: English
Published by Independently Published Mai 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 40.42
Quantity: 2 available
Add to basketItem description from seller
Neuware - Build intelligent agents that plan, act, and collaborate to solve real world problemsAI is evolving from answering questions to taking action.Modern systems no longer just generate text. They execute workflows, call tools, coordinate with other agents, and solve complex tasks autonomously.'Agents at Work' is a practical, hands on guide to designing autonomous AI systems using Python.This book teaches you how to build agents that can think, plan, and interact with the world.Why AI agents are the next stepTraditional AI systems respond.Agents act.With the right design, agents can: - plan multi step tasks- call external tools and APIs- retrieve and use data dynamically- collaborate with other agents- adapt to changing goalsThis book shows you how to build these capabilities in real systems.What you will learn- fundamentals of AI agents and workflows- designing agent architectures- tool calling and function execution- building multi step reasoning systems- memory and context management- multi agent collaboration and coordination- integrating APIs and external services- error handling and reliability strategies- optimizing cost and performance- deploying agent based systemsFrom prompts to autonomous systemsThroughout the book, you will learn how to: - design agents that execute real tasks- build workflows that combine reasoning and action- connect agents to tools and data sources- create systems that operate independently- coordinate multiple agents in complex environments- scale agent systems for production useEach chapter focuses on practical implementation.Practical applications- AI assistants that perform tasks- workflow automation systems- research and data analysis agents- customer support automation- multi agent collaboration platformsThese examples reflect modern AI applications.Who this book is for- AI engineers- software developers- data scientists- product builders- professionals creating AI powered systemsIf you want to build AI systems that do more than respond and can take real action, this book provides the roadmap.Design intelligently.Act autonomously.Build agents that work.…
Seller Inventory # 9798258794161
- Title
- Agents at Work : Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python
- Author
- Richard Boozman
- Publisher
- Independently Published Mai 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798258794161
- Item weight
- 341 grams
- Dimensions
- 229x152x18 mm
AI is evolving from answering questions to taking action.
Modern systems no longer just generate text. They execute workflows, call tools, coordinate with other agents, and solve complex tasks autonomously.
“Agents at Work” is a practical, hands on guide to designing autonomous AI systems using Python.
This book teaches you how to build agents that can think, plan, and interact with the world.
Why AI agents are the next step
Traditional AI systems respond.
Agents act.
With the right design, agents can:
- plan multi step tasks
- call external tools and APIs
- retrieve and use data dynamically
- collaborate with other agents
- adapt to changing goals
This book shows you how to build these capabilities in real systems.
What you will learn
- fundamentals of AI agents and workflows
- designing agent architectures
- tool calling and function execution
- building multi step reasoning systems
- memory and context management
- multi agent collaboration and coordination
- integrating APIs and external services
- error handling and reliability strategies
- optimizing cost and performance
- deploying agent based systems
From prompts to autonomous systems
Throughout the book, you will learn how to:
- design agents that execute real tasks
- build workflows that combine reasoning and action
- connect agents to tools and data sources
- create systems that operate independently
- coordinate multiple agents in complex environments
- scale agent systems for production use
Each chapter focuses on practical implementation.
Practical applications
- AI assistants that perform tasks
- workflow automation systems
- research and data analysis agents
- customer support automation
- multi agent collaboration platforms
These examples reflect modern AI applications.
Who this book is for
- AI engineers
- software developers
- data scientists
- product builders
- professionals creating AI powered systems
If you want to build AI systems that do more than respond and can take real action, this book provides the roadmap.
Design intelligently.
Act autonomously.
Build agents that work.
"Synopsis" may belong to another edition of this title.
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