Synopsis
This book is a system-thinking guide for designing AI-powered applications, using a CV enhancement system as a reference model. Instead of focusing on code or frameworks, it teaches how to think about architecture, data flow, decision-making, and system boundaries when working with modern AI. The reader learns how to break down complex systems into clear components, define responsibilities, manage external dependencies like AI models, and design flows that are resilient, scalable, and understandable. The book emphasizes mental models over implementation, helping engineers move beyond "how to build" toward "how to design." By the end, readers will understand how to approach any AI-driven system with clarity, structure, and confidence-regardless of the tools or technologies used.
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