Implement Talk Easy: on-device voice dictation app for iOS 26#1
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Implement Talk Easy: on-device voice dictation app for iOS 26#1
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Three-layer architecture: - Layer 1: AVAudioEngine for microphone capture - Layer 2: SpeechAnalyzer (iOS 26) for real-time on-device transcription - Layer 3: Foundation Models (~3B LLM) for text cleanup and formatting Core components: - SwiftData models: DictationMode, DictationRecord, VocabularyEntry - Services: AudioEngine, SpeechRecognition, TextProcessing, Clipboard - Multi-pass LLM pipeline with @generable guided generation - RecordingViewModel orchestrating the full recording flow SwiftUI views: - RecordingView with animated record button and live transcript - ModeSelector with 7 built-in modes (General, Text, Email, Notes, etc.) - ModesView/ModeEditorView for custom mode management - HistoryView with search across past dictations - SettingsView with permissions, privacy info, data management Xcode project: com.idlefusion.talkeasy, iOS 26, Swift 6, iPhone only, objectVersion 77 with file system synchronized groups. https://claude.ai/code/session_01UoaxzhgT4YzixnKEmr2uKE
…sage - TextProcessingService: prewarm() is instance method not static; access Response.content.text not Response.text - SpeechRecognitionService: SpeechAnalyzer requires modules: init param; SpeechTranscriber needs locale/preset; use .text (AttributedString) and .results instead of removed APIs - Views: Use Color.accentColor instead of .accentColor for ShapeStyle conformance
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Three-layer architecture:
Core components:
SwiftUI views:
Xcode project: com.idlefusion.talkeasy, iOS 26, Swift 6, iPhone only, objectVersion 77 with file system synchronized groups.
https://claude.ai/code/session_01UoaxzhgT4YzixnKEmr2uKE