Items related to Agents at Work: Designing Autonomous AI Workflows,...
Agents at Work: Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python - Softcover
Synopsis
Build intelligent agents that plan, act, and collaborate to solve real world problems
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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Agents at Work (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. 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 taskscall external tools and APIsretrieve and use data dynamicallycollaborate with other agentsadapt to changing goalsThis book shows you how to build these capabilities in real systems.What you will learnfundamentals of AI agents and workflowsdesigning agent architecturestool calling and function executionbuilding multi step reasoning systemsmemory and context managementmulti agent collaboration and coordinationintegrating APIs and external serviceserror handling and reliability strategiesoptimizing cost and performancedeploying agent based systemsFrom prompts to autonomous systemsThroughout the book, you will learn how to: design agents that execute real tasksbuild workflows that combine reasoning and actionconnect agents to tools and data sourcescreate systems that operate independentlycoordinate multiple agents in complex environmentsscale agent systems for production useEach chapter focuses on practical implementation.Practical applicationsAI assistants that perform tasksworkflow automation systemsresearch and data analysis agentscustomer support automationmulti agent collaboration platformsThese examples reflect modern AI applications.Who this book is forAI engineerssoftware developersdata scientistsproduct buildersprofessionals 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. 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 # 9798258794161
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Agents at Work: Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python
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Agents at Work
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Agents at Work
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Agents at Work (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. 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 taskscall external tools and APIsretrieve and use data dynamicallycollaborate with other agentsadapt to changing goalsThis book shows you how to build these capabilities in real systems.What you will learnfundamentals of AI agents and workflowsdesigning agent architecturestool calling and function executionbuilding multi step reasoning systemsmemory and context managementmulti agent collaboration and coordinationintegrating APIs and external serviceserror handling and reliability strategiesoptimizing cost and performancedeploying agent based systemsFrom prompts to autonomous systemsThroughout the book, you will learn how to: design agents that execute real tasksbuild workflows that combine reasoning and actionconnect agents to tools and data sourcescreate systems that operate independentlycoordinate multiple agents in complex environmentsscale agent systems for production useEach chapter focuses on practical implementation.Practical applicationsAI assistants that perform tasksworkflow automation systemsresearch and data analysis agentscustomer support automationmulti agent collaboration platformsThese examples reflect modern AI applications.Who this book is forAI engineerssoftware developersdata scientistsproduct buildersprofessionals 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. 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 # 9798258794161
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Agents at Work : Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. 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