Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations. While these agents enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks, and deploying them remains a challenge for many organizations.

This book is your indispensable guide through this intricate and fast—moving landscape. Author Michael Albada provides a practical and research—based approach to designing and implementing single— and multiagent systems.

Discover the core components and design principles of AI agents Explore design trade—offs and implement effective multiagent systems Design and deploy tailored AI solutions, enhancing efficiency and innovation in your field
1147201911
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations. While these agents enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks, and deploying them remains a challenge for many organizations.

This book is your indispensable guide through this intricate and fast—moving landscape. Author Michael Albada provides a practical and research—based approach to designing and implementing single— and multiagent systems.

Discover the core components and design principles of AI agents Explore design trade—offs and implement effective multiagent systems Design and deploy tailored AI solutions, enhancing efficiency and innovation in your field
49.99 Pre Order
Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Audio CD(Unabridged)

$49.99 
  • SHIP THIS ITEM
    Available for Pre-Order. This item will be released on February 17, 2026

Related collections and offers


Overview

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations. While these agents enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks, and deploying them remains a challenge for many organizations.

This book is your indispensable guide through this intricate and fast—moving landscape. Author Michael Albada provides a practical and research—based approach to designing and implementing single— and multiagent systems.

Discover the core components and design principles of AI agents Explore design trade—offs and implement effective multiagent systems Design and deploy tailored AI solutions, enhancing efficiency and innovation in your field

Product Details

ISBN-13: 9798228757134
Publisher: Recorded Books, LLC
Publication date: 02/17/2026
Edition description: Unabridged
Product dimensions: 5.20(w) x 5.70(h) x (d)
Age Range: 18 Years

About the Author

Michael Albada is a machine learning engineer with nine years of experience designing, building, and deploying large—scale machine learning solutions at Uber, ServiceNow, and Microsoft, with experience in recommendation systems, geospatial modeling, cybersecurity, natural language processing, large language models, and the development of large scale multi—agent systems for cybersecurity. He received his BA from Stanford University, MPhil from the University of Cambridge, and MS from Georgia Tech with a concentration in machine learning.

Nick Mondelli is an Audie Award—nominated and AudioFile Earphones Award—winning narrator who has lent his authentic and sincere style of storytelling to a variety of genres. From an audition call on a community theater bulletin board, Nick has since narrated an extensive library of works from acclaimed authors all over the world, including Kim Hooper's No Hiding in Boise, Chris Van Allsburg's Zathura, and Emmanuel Carrere's Yoga. Nick currently resides in Ohio, where he records out of his professional home studio, and travels for productions across the United States.
From the B&N Reads Blog

Customer Reviews