Buch, Englisch, 312 Seiten, Format (B × H): 125 mm x 190 mm, Gewicht: 367 g
The Practical Framework for Building Autonomous AI Systems by Turning Human Intent into Specifications, Workflows, and Products
Buch, Englisch, 312 Seiten, Format (B × H): 125 mm x 190 mm, Gewicht: 367 g
ISBN: 978-3-565-60427-2
Verlag: epubli
AI is changing software development—but it isn't replacing great engineers. It's replacing outdated ways of thinking.
If you've ever struggled with inconsistent AI outputs, unreliable agents, prompt fatigue, context loss, workflow breakdowns, or endless manual supervision, you're facing a design problem—not an AI problem.
This book introduces Intent-Driven Engineering, a practical framework for designing AI-first systems that turn clear objectives into reliable execution. Instead of treating AI as a chatbot that needs constant direction, you'll learn how to create structured specifications, scalable workflows, persistent memory, validation frameworks, and collaborative AI architectures that work together as a complete system.
Whether you're building software, launching products, automating business operations, managing research, or creating knowledge-driven solutions, you'll discover how to move beyond isolated conversations and engineer repeatable processes that improve quality, reduce rework, and scale with confidence.
Inside, you'll learn how to design robust AI workflows, create production-ready specifications, manage context across complex projects, reduce hallucinations through structured validation, coordinate multiple AI agents, preserve organizational knowledge, and build systems that continue delivering value long after the initial implementation.
This is not another prompt engineering guide, nor is it a collection of AI tricks. It is a professional methodology for engineers, product managers, founders, architects, consultants, and technical leaders who want to build reliable AI systems instead of chasing unpredictable outputs.
The future belongs to professionals who can engineer intent. Start building the systems that will define the next generation of intelligent work.
