Agentic AI Engineering for Developers: Build Autonomous LLM Agents with Real-World Systems, Master Prompting, Control Logic, and Deployment Without Hy

Name: Agentic AI Engineering for Developers: Build Autonomous LLM Agents with Real-World Systems, Master Prompting, Control Logic, and Deployment Without Hy
Brand: Independently Published
SKU: 9798195371739
Price: 1438.0 INR
Availability: InStock

by Mason T. Blake

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ISBN13: 9798195371739
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: May 3, 2026
Pages: 246
Original Price: GBP 12.52
Language: English
Edition: N/A
Item Weight: 350 grams
BISAC Subject(s): Data Science / Neural Networks

About The Book

What if the real problem isn't the technology... but how it's being used?

Every day, developers experiment with powerful language models-yet when it comes to building systems that actually work in real environments, things fall apart. Outputs become inconsistent. Workflows break. Promising ideas stall before they ever reach production.

The gap between "it works" and "it works reliably" is where most projects fail.

This book closes that gap.

Agentic AI Engineering for Developers is a practical, no-nonsense guide for turning raw capability into dependable, structured systems that can think, act, and adapt with purpose. It goes beyond surface-level techniques and shows you how to design systems that behave consistently, handle complexity, and deliver real value.

This is not about chasing trends or stitching together fragile demos. It's about building systems you can trust.

Inside, you'll learn how to move from simple prompt experiments to fully structured workflows-systems that can manage tasks, interact with tools, and operate in real-world conditions without falling apart under pressure.

If you've ever felt that your projects show promise but lack reliability... if you've struggled to move from experimentation to production... this book was written for you.

What You'll Discover Inside

How to design systems that follow clear reasoning cycles instead of producing unpredictable outputs
The principles behind building agents that can perceive, decide, act, and improve over time
Proven methods for structuring prompts that support multi-step reasoning and consistent behavior
How to break down complex tasks into manageable workflows that actually execute correctly
Techniques for managing context, memory, and state across interactions
How to connect your systems to external tools and APIs without introducing fragility
Strategies for preventing cascading errors and keeping systems aligned with their goals
Real-world approaches to testing, debugging, and improving behavior over time
How to design control logic that balances flexibility with reliability
The right way to move from local development to production-ready systems
How to monitor performance, define success metrics, and continuously optimize
Practical insights for building systems that remain stable even as requirements evolve

This book doesn't overwhelm you with theory or leave you guessing how to apply it. Every concept is grounded in real implementation, giving you the clarity and confidence to build systems that hold up outside of controlled environments.

By the time you finish, you won't just understand how these systems work-you'll know how to design and build them with precision.

The tools are already in your hands.

The difference now is knowing how to use them the right way.

Start building systems that actually deliver.

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