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AI Agents & Agentic Workflows in Production

Designing, Building, Evaluating, Securing & Scaling Intelligent AI Systems

AI Agents & Agentic Workflows in Production
Mohammad Kamrul Hassan

AI can generate an answer. But can it safely take action?

AI agents are changing software by giving intelligent systems the ability to plan, use tools, interact with external systems, and execute multi-step workflows.

Moving from an impressive prototype to a dependable production system, however, requires much more than a powerful model.

AI Agents & Agentic Workflows in Production explores the engineering principles behind production-grade agentic systems—from architecture and tool use to memory, planning, orchestration, evaluation, security, reliability, observability, scalability, governance, and continuous operation.

Learn how to build agents that don't just act—but act reliably, safely, measurably, and under control.

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About the Book

AI agents are transforming software from systems that simply respond to instructions into systems capable of planning, using tools, interacting with data, making decisions, and taking action.

But building an impressive AI agent is very different from building one that can be trusted in production.

AI Agents & Agentic Workflows in Production provides a practical, systems-oriented foundation for designing, building, evaluating, securing, operating, and scaling production-grade agentic systems.

The book explores the architecture behind modern AI agents, including tools and function calling, context and memory, planning, orchestration, multi-agent systems, human oversight, evaluation, reliability, security, observability, performance, RAG, enterprise integration, governance, and long-term operations.

Rather than focusing on a particular framework or rapidly changing API, the book emphasizes durable engineering principles that can remain useful as models, platforms, and tools evolve.

It is designed for software engineers, AI engineers, architects, technical leaders, developers, and technology professionals who want to move beyond AI demonstrations and understand how intelligent systems can operate reliably in real-world environments.

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Artificial IntelligenceSoftwareSoftware Architecture

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Mohammad Kamrul Hassan

Mohammad Kamrul Hassan is an IT engineer, tech consultant, and writer specializing in global politics, information technology, and travel. A former student of Voronezh State University, Russia, he currently works as an IT engineer for a UK-based international organization and collaborates with several global technology firms. Driven by a lifelong passion for international socio-political realities and long-distance travel, his writing seamlessly blends technical depth with rich, analytical global storytelling.

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Shine Literacy

Shine Literacy

Words can change worlds

http://www.shineliteracy.org.za
Shine Literacy is a non-profit organisation that seeks to improve literacy outcomes for young children from disadvantaged communities in South Africa. Working in partnership with teachers, volunteers and parents, our evidence-based programmes provide effective and sustained support to children as they learn to read and write, helping to foster a life-long love of books and learning.
Shine Literacy is an award-winning leader in Foundation Phase literacy innovation in South Africa. Since its inception in 2000, Shine has taken an entrepreneurial approach to tackling the country’s stubborn and unacceptably low literacy rates. Focusing on developing the reading, writing and speaking skills of Grade Two and Three children from disadvantaged communities, Shine aims to support children to engage effectively with learning by the time they finish the Foundation Phase of schooling.

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