[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODEwMDM","title","Full Stack AI with Blazor. Building Interactive Copilots and WASM AI","state","published","contactAuthorMethod","email","aboutText"," Unlock the Power of C# and WebAssembly to Build Dynamic, Highly Responsive AI Copilots!

Are you a .NET developer who wants to build advanced AI-driven web applications without relying on complex JavaScript frameworks? Welcome to Volume 15 of the C# and .NET Masterclass Series. This comprehensive, hands-on guide shows you how to design, secure, and deploy interactive AI copilots and local offline chatbots entirely within a unified C# ecosystem using Blazor.

In this book, you will move past simple API calls and dive into the deep architectural patterns of client-side and server-side web engineering. You’ll learn how to balance latency, cloud costs, and data privacy by constructing intelligent hybrid systems that split work between the user's browser and secure cloud resources.

What You Will Find Inside:

Architectural Trade-offs for AI: Deep-dive comparisons between Blazor Server and Blazor WebAssembly, detailing how execution models impact your AI application's security perimeter and memory space.
State Management for Conversations: Implement robust, thread-safe session state containers, utilize standard MVVM concepts, and master the unidirectional data flow pattern with Fluxor.
Real-Time Streaming with SignalR: Construct bi-directional streaming pipelines using C# IAsyncEnumerable and System.Threading.Channels to render fluid, typewriter-style token responses.
Secure Server-Side Proxies: Stop embedding expensive API keys in compiled WASM client DLLs. Learn to build secure Minimal API proxies using Azure Key Vault, JWT authentication, and structured audit logs.
Local Browser Inference with ONNX: Harness the browser sandbox to load quantized, INT8 neural networks. Run local, private, and offline-capable models directly inside Blazor WASM using the ONNX Runtime Web.
The Hybrid Router Pattern: Design an automated decision engine that dynamically evaluates prompt complexity, network health, and data sensitivity to choose the optimal inference engine.
Practical, Production-Grade Code: Every chapter is backed by fully annotated C# scripts, sequence diagrams, and practical developer exercises complete with professional solutions.

Who This Book Is For:

This volume is designed for intermediate to advanced C# developers, full-stack engineers, and software architects who want to build secure, low-latency, and compliance-ready AI interfaces. Whether you are building corporate knowledge copilots, retail assistants, or offline-first analytical tools, this guide provides the production-ready blueprints to succeed.

Take control of full-stack AI engineering. Scroll up, grab your copy, and start building intelligent, high-performance C# copilots today!

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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