Agentic Design Patterns

Posted on Jan 1, 1

Agentic Design Patterns

A Hands-On Guide to Building Intelligent Systems

Author: Antonio Gulli Pages: 424 Format: Digital Documentation


About This Book

This comprehensive guide explores the fundamental design patterns for building intelligent AI agent systems. Covering everything from basic prompt chaining to complex multi-agent orchestration, this book provides practical, hands-on guidance for developers and engineers working with AI systems.

All royalties from this work are donated to Save the Children.


Credits & Attribution

Original Author: Antonio Gulli Source: Google Docs Hosted with permission for educational purposes on StartAITools.com

This content is presented in an accessible format to make it easier to navigate and read than the original Google Docs format. All credit goes to Antonio Gulli for this exceptional work.


Table of Contents

Part I: Sequential and Structured Agentic Patterns

  1. Prompt Chaining - Breaking complex tasks into sequential steps
  2. Routing - Directing queries to specialized components
  3. Parallelization - Concurrent task execution strategies

Part II: Iterative and Reflective Patterns

  1. Orchestrator-Workers - Coordinating multiple specialized agents
  2. Evaluator-Optimizer - Iterative improvement cycles
  3. Reflection - Self-assessment and refinement

Part III: Tool Use and Planning

  1. Tool Use - Integrating external tools and APIs
  2. Planning - Strategic task decomposition

Part IV: Advanced Multi-Agent Systems

  1. Multi-Agent Collaboration - Complex agent interactions
  2. Advanced Patterns - Cutting-edge agentic architectures

Appendices

  • Advanced Prompting Techniques
  • Agentic Frameworks Overview
  • Reasoning and Planning Engines
  • Additional Resources

Navigation: Use the sidebar to browse chapters and sections. Each chapter includes practical examples and implementation guidance.

Educational Use: This resource is provided for learning and reference purposes as part of the StartAITools educational platform.