Creating Custom GPT with OpenAI GPT Builder: Create, deploy and ethically scale production-ready conversational AI agents at an enterprise level

Master the art of building Custom GPTs with responsible AI frameworks and built-in security considerations for orchestrating intelligent, scalable conversational AI systems

Key Features

• Learn and implement the core features and architecture of GPT Builder
• Use AI red teaming, action-based integration, and agentic design patterns to scale for reliability and performance
• Master responsible AI development with expert guidance on bias mitigation, data security, and transparency

Book Description

Conversational AI is no longer a competitive advantage; it is the new baseline for how businesses engage customers and empower teams. Written by Industry leaders and experts, this hands-on practitioner’s guide gives you a complete blueprint for building Custom GPTs that are intelligent, responsible, and built to last.

This book begins by exploring GPT Builder, including its core features and architecture. As you progress, you’ll delve into crafting human-centric AI interactions, applying the 5 Ps of prompt engineering, and developing bots that are tailored to meet specific user needs. Each chapter is packed with practical examples, real-world case studies, and actionable insights that empower you to build AI systems that are not only functional but also engaging and effective.

Beyond building, this book emphasizes ethical AI development, providing detailed guidance, mitigating biases, securing data, and maintaining transparency throughout your AI projects. You’ll also learn to integrate custom GPTs into existing business processes and scale them effectively, ensuring reliability and performance.

Whether you’re looking to enhance customer experiences, streamline operations, or build next-generation scalable agents, this book equips you with the knowledge and tools to succeed in the rapidly evolving world of conversational AI.

What you will learn

• Master the advanced features and architecture of OpenAI GPT Builder
• Create user-focused, human-centric interactions built around real-world use cases
• Adapt custom GPTs to meet business needs and maximize customer satisfaction
• Enhance agents’ personality, boundaries, and response quality with structured prompt engineering frameworks
• Develop practices and strategies to ensure ethical AI standards and data security
• Integrate custom GPTs into existing business systems for seamless workflows
• Apply AI Governance and risk management through AI Red teaming

Who this book is for

This book is for product managers, business leaders, solution architects, and entrepreneurs who want to build practical, responsible AI assistants using OpenAI GPTBuilder without deep coding expertise. It is equally valuable for AI governance professionals, QA engineers, and anyone tasked with evaluating, testing, or scaling conversational AI within an organisation. Readers should have a basic familiarity with ChatGPT or similar AI tools, a general understanding of how business applications work, and a willingness to learn through hands-on building.

Table of Contents

1. Introducing Conversational AI
2. Getting Started with GPT Builder
3. Understanding GPT Builder’s Core Features and Architecture
4. Building Safe And Responsible AI Systems
5. Crafting Human-Centric AI Interactions
6. Tailoring Conversations to User Needs
7. Testing and Debugging Conversational Assistants
8. Implementing Responsible AI Best Practices
9. Securing Data Handling in GPT Builder
10. Integrating OpenAI’s GPT Builder with Existing Systems
11. Maintaining Your AI Systems
12. Scaling Conversational Systems
13. Building Agentic Systems
14. Building for Change: What’s New in Custom GPTs