The Future of .NET Development Is Not AI Integration. It is AI Engineering.
Most .NET developers can call an AI, API. Very few can build AI features that hold up in production. Prompting .NET for AI Application Development treats prompting as engineering — something that belongs inside service boundaries, typed contracts, secure configuration, and observable workflows, not inside a demo that ships once, and breaks quietly.
Starting from prompt design and environment setup, the book builds progressively through .NET architecture patterns, Semantic Kernel orchestration, structured outputs, and integration across ASP.NET Core, Blazor, and .NET MAUI. RAG pipelines, output validation, guardrails, cost controls, and deployment follow — each grounded in practical .NET code and real implementation decisions.
Two complete production scenarios bring it together: An AI-powered e-commerce platform and an intelligent enterprise dashboard. By the end of the book, you will build, harden, and operate .NET AI features that remain reliable when providers fail, inputs change, and applications scale.
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