WebSpark.ArtSpark - Technical Summary WebSpark.ArtSpark is a comprehensive .NET 10.0 solution that provides complete programmatic access to the Art Institute of Chicago's public API through a full-featured client library, AI-powered chat system with multiple contextual personas, and interactive demo applications. The solution encompasses four interconnected projects: a strongly-typed API client library covering all 33 endpoints across six major categories, an AI agent system leveraging Semantic Kernel and OpenAI's GPT-4o models for conversational artwork analysis with hot-reloadable prompt templates, a responsive ASP.NET Core web application with user authentication and personal collections, and a console utility for developer testing. The architecture emphasizes modern .NET patterns including async/await patterns, System.Text.Json deserialization with custom naming policies, IIIF image URL construction for high-resolution artwork access, and Elasticsearch-integrated search capabilities, while maintaining minimal external dependencies. Notable for its innovative AI integration, the solution features multiple conversation personas (Artwork, Artist, Curator, Historian) with persistent chat history, OpenAI Vision capabilities for image analysis, and developer-friendly externalized prompt configuration without requiring code recompilation. The project targets .NET developers, museum technologists, and AI enthusiasts seeking to build applications around cultural collections, demonstrated by its live deployment at Art.makeboldspark.com, though the repository currently shows signs of inactivity (no commits in 90+ days) despite its polished documentation and comprehensive feature set.