Agents at Work: Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python

Name: Agents at Work: Designing Autonomous AI Workflows, Tool-Calling Agents, and MultiAgent Systems with Python
Brand: Independently Published
SKU: 9798258794161
Price: 2092.0 INR
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by Richard Boozman

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ISBN13: 9798258794161
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: May 4, 2026
Pages: 278
Original Price: GBP 18.46
Language: English
Edition: N/A
Item Weight: 341 grams
BISAC Subject(s): Languages / Python

About The Book

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.

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