Agentic Context Engineering: Building Multi-Agent Workflows with Claude AI, GPT-4, LangGraph, and Advanced Orchestration Techniques

Jeffery, Darryl

ISBN 13: 9798264178511

Published by Independently published, 2025

About this Item

Unread book in perfect condition.

Seller Inventory # 51329140

Bibliographic Details

• Title: Agentic Context Engineering: Building Multi-Agent Workflows with Claude AI, GPT-4, LangGraph, and Advanced Orchestration Techniques
• Publisher: Independently published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798264178511
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

Agentic Context Engineering: Building Multi-Agent Workflows with Claude AI, GPT-4, LangGraph, and Advanced Orchestration Techniques

The next wave of AI isn’t about bigger models—it’s about smarter collaboration. As organizations demand reliability, transparency, and scalability, multi-agent systems are emerging as the future of applied AI. This book shows you how to design, orchestrate, and scale agentic workflows that combine the strengths of Claude AI, GPT-4, and LangGraph to solve real problems.

Agentic Context Engineering provides a comprehensive guide to mastering the principles of context management and agent orchestration. It is written for developers, researchers, and AI practitioners who want to go beyond single-prompt interactions and build systems that reason, validate, and generate collectively. Whether you’re creating AI research assistants, customer support solutions, or enterprise-grade workflows, this book will help you design systems that are resilient, explainable, and production-ready.

What sets this book apart is its structured approach, blending theory with practical examples and code. You will learn:

• Foundations of Agentic Context Engineering – how context shapes multi-agent reasoning and why orchestration matters.

• Multi-Agent Design Fundamentals – defining roles, goals, and communication pathways to prevent redundancy and deadlocks.

• Context Flows and Memory Structures – strategies for balancing short-term context windows with persistent memory and vector databases.

• Claude AI and GPT-4 in Multi-Agent Systems – leveraging Claude’s reasoning strengths and GPT-4’s generative capabilities in complementary ways.

• LangGraph for Agent Orchestration – building, scaling, and managing workflows through graph-based design with annotated code.

• Advanced Orchestration Techniques – role-based delegation, negotiation, and collective planning across agents.

• Reliability, Safety, and Explainability – preventing hallucination propagation, building auditable workflows, and handling errors gracefully.

• Scaling for Real-World Applications – deployment patterns, external integrations, and optimization for latency, cost, and throughput.

• Case Studies – detailed examples of research assistants, automated customer support, and enterprise workflows in action.

• Future Directions – trends, standards, and how agentic context engineering will define the next decade of AI.

If you want to move beyond isolated prompts and build intelligent, orchestrated systems that work in real-world environments, this book gives you the frameworks, techniques, and insights you need.

Take the next step in your AI expertise—equip yourself with the skills to build the multi-agent workflows that will define the future. Get your copy of Agentic Context Engineering today.