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35 posts · page 2 of 3
A MAUI UI July post: two drop-in MAUI controls — FaceRecognitionView and FaceEnrollmentView — that put live face recognition and a guided enrollment wizard on screen in one line of XAML, plus the CameraView frame analyzer, a GraphicsView overlay with an even-odd scrim, speaker recognition, and Shiny.DocumentDb + sqlite-vec as the on-device vector database.
A .NET MAUI app built straight on Microsoft.Extensions.AI — an IChatClient onto OpenAI, ChatOptions.Tools, and UseFunctionInvocation running the loop. The chat UI is a control; the hands are Shiny — contacts, reminders, calendar, GPS, health, music, a local document DB, your own services, and the app's own navigation. All opt-in, all switchable, all AOT-clean.
Three new Microsoft.Extensions.AI packages turn device services into tools an LLM can call — Shiny.Contacts.Extensions.AI, Shiny.Notifications.Extensions.AI, and Shiny.Locations.Extensions.AI. Opt-in, read-only by default, AOT-safe, and they all compose into one IChatClient.
One CameraView for .NET MAUI (iOS, Android, Windows, macOS AppKit) and Blazor WebAssembly — live preview, photo/video capture, 11 live filters, and a frame-analysis pipeline that scans barcodes, boxes faces, detects motion, runs OCR, and parses invoices, receipts, driver's licenses, health cards, credit cards, and passports into strongly-typed records.
One IHealthService for Apple HealthKit and Android Health Connect — now with 30+ data types across activity, body, vitals, nutrition, reproductive/cycle tracking and workouts, real-time observation, and a Microsoft.Extensions.AI tool surface so an LLM can read and write your health data.
A background-capable, bidirectional record-sync engine for .NET apps. It doesn't reinvent background execution — it stands on the same playbook as Shiny Jobs and Shiny.Net.Http, moving records where transfers move files and riding the Jobs scheduler for periodic pulls.
Shiny.DocumentDb.Orleans puts the whole Orleans persistence stack — grain storage, reminders, clustering, and grain directory — on one backend-agnostic IDocumentStore. The headline win: query grain state directly, without activating a single grain.
v6 adds cross-provider vector / ANN search, EF-style global query filters, composite JSON indexes, real connection pooling on server SQL, and per-query change monitoring — without changing the schema-free, AOT-safe shape of the API.
Shiny.AiConversation wraps chat clients, speech recognition, text-to-speech, audio playback, message persistence, and state management into a single IAiConversationService interface for .NET.
Shiny Controls v1.0 ships with IFeedbackService — a single injectable service that every interactive control calls. Implement it once for haptic, TTS, sound effects, analytics, or any combination.
Shiny.DocumentDb.Extensions.AI turns your document store into a set of LLM-callable tools. Register types, set capabilities, and let the agent query, insert, update, and delete documents through natural language.
Mark a service interface with [Tool], add [Description] to your methods, and a source generator produces fully typed AIFunction classes compatible with Microsoft.Extensions.AI. AOT-safe, zero boilerplate.
