Book “AI Agents Cookbook: Building Multi-Agent Systems”
Book “AI Agents Cookbook: Building Multi-Agent Systems”

AI agents cookbook cover
A comprehensive guide to designing, implementing, and deploying multi-agent AI systems
As an experienced AI engineer and developer, I’m happy to present my latest book, which will guide you through the fascinating world of AI agents and multi-agent systems. This practical cookbook provides everything you need to build complex AI agent applications using modern frameworks and best practices.
In this ebook, you’ll learn how to create, orchestrate, and deploy AI agents that can work together to solve complex tasks. Whether you’re building sales automation systems, content generation pipelines, or autonomous decision-making systems, this book will equip you with the knowledge and practical skills needed.
Content overview
Here’s what you’ll learn throughout the book:
- Foundations of multi-agent systems: Understand the core concepts of AI agents, their interactions, and the theoretical frameworks behind multi-agent architectures. Learn about different types of agents, communication protocols, and coordination mechanisms that form the backbone of modern agent systems.
- CrewAI deep dive: Master the CrewAI framework for building collaborative AI agents. Learn how to define agent roles, set up communication patterns, and orchestrate complex workflows between multiple agents. Explore advanced features like memory management, task delegation, and error handling.
- Alternative frameworks and integration: Get hands-on experience with other popular frameworks like smolagents and discover how to integrate different agent frameworks for optimal performance. Learn when to use each framework and how to combine their strengths for specific use cases.
- Building practical agent systems: Step-by-step tutorials for creating various types of agent systems:
- Sales AI agent for lead qualification and follow-up;
- Content creation agent network for automated content pipelines;
- Research and analysis agents for data processing;
- Customer service agent systems;
- Offer generation and pricing optimization Agents.
- Deployment and scaling: Learn how to deploy agent systems to production environments, handle scaling challenges, and maintain performance under load. Master containerization, load balancing, and monitoring for agent systems.
- Safety and guardrails: Implement robust safety measures and guardrails for your agent systems. Learn about prompt injection prevention, output validation, and ethical considerations in multi-agent systems.
- Advanced topics and optimization: Explore advanced concepts like agent learning, dynamic role assignment, and system optimization. Learn how to debug complex agent interactions and optimize system performance.
As a special bonus, all readers will receive exclusive access to:
- Complete GitHub repository with all code examples;
- Additional agent templates and configurations;
- Regular updates as new frameworks and techniques emerge;
- Access to community discussions and support.
Pre-release special Offer:
- Price: $29 USD (Regular price will be $49 after launch)
- Launch date: March 16, 2025
- Early buyers will receive immediate access upon release
Perfect for:
- AI developers looking to build practical agent systems
- Software engineers interested in multi-agent architectures
- Technical leads planning to implement AI automation
- Anyone interested in building sophisticated AI applications
Pre-order now to lock in the special price and be among the first to receive access to this comprehensive guide to building multi-agent AI systems.
🚀 Looking to expand your AI development skills further? Check out my other books on RAG applications and FastAPI AI development for a complete AI engineering toolkit!
The book will be available through Gumroad, where you can download the PDF and access all future updates.