AI Agents in Action

Micheal Lanham

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Hardback

Forthcoming
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English

Manning Publications
02 July 2025

Programming & scripting languages: general; Client-Server networking; Artificial intelligence

Create LLM-powered autonomous agents and intelligent assistants that can adapt to your specific business and personal needs.

Each job you take on or decision you make requires some of your precious time. AI Agents in Action teaches you to develop and deliver LLM-based assistants and agents that can independently process information, make decisions, and learn from interactions. These powerful autonomous AI agents and interactive assistants handle routine tasks behind the scenes so you can focus on other things.

In AI Agents in Action, author Micheal Lanham combines cutting-edge academic research with practical experience to help you:

Understand AI agent behavior patterns Design and deploy intelligent agents Use the OpenAI Assistants API and other tools Manage knowledge and memory Build in feedback loops so agents learn from their actions Design collaborative multi-agent systems Create agents with speech and vision features

From script-free customer service chatbots to fully independent agents operating out of sight, AI-powered assistants are a groundbreaking advance in machine intelligence. In AI Agents in Action you'll learn a reliable, tested framework for developing working agents for a variety of practical business and personal tasks.

By: Micheal Lanham
Imprint: Manning Publications
Country of Publication: United States
Weight: 386g
ISBN: 9781633436343
ISBN 10: 1633436349
Pages: 338
Publication Date: 02 July 2025
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Forthcoming

Micheal Lanham is a proven software and tech innovator with over 20 years of experience. He has developed a broad range of software applications in areas such as games, graphics, web, desktop, engineering, artificial intelligence, GIS, and machine learning applications for a variety of industries. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development.