PlayWithComponents vs LLMVoice

PlayWithComponents is an interactive SwiftUI component library and design system reference. Explore platform-native UI components in Apple's modern liquid glass aesthetic—a collaboration tool for designers, developers, and product teams who need consistency between design and engineering. This application offers a fully interactive exploration of platform-native UI components, presented with Apple’s modern liquid glass aesthetic. It is more than a visual reference—it is a collaboration tool built for teams that care deeply about consistency, quality, and alignment between design and engineering. Whether you are a design lead refining flows, an executive validating product direction, a product manager managing feature scope, or a developer ensuring accurate implementation, this app brings everyone onto the same page. It serves as a shared visual foundation to eliminate guesswork and improve team communication. Why This App Static wireframes and mockups often fall short when it comes to conveying the behavior and subtlety of real user interface components. Custom prototypes can be time-consuming and sometimes diverge from what is technically feasible or natively supported. This app solves that problem by showcasing real, native components as they appear and behave in iOS. It is ideal for running design reviews, conducting product demos, leading team alignment workshops, or simply exploring UI capabilities. Save time and reduce ambiguity by making interface decisions with true platform accuracy. Key Features Live native UI elements Explore real controls such as buttons, sliders, switches, pickers, text fields, segmented controls, and more. Each element is fully interactive and responds exactly as it would in a production app. Modern visual style See components rendered in a clean, modern interface inspired by Apple’s liquid glass design direction. Focus on clarity, readability, and real-world interaction. Design-to-development clarity Ensure design intent is communicated effectively to engineering. Avoid misalignment and last-minute rework by referencing live, accurate UI components. Collaborative ready Use the app during team meetings, design critiques, or development check-ins. It is an excellent visual tool for aligning decisions and reducing misunderstandings. Presentation-friendly Great for product walkthroughs and executive demos. Showcase your ideas with native fidelity rather than relying on static images or third-party design tools. Up-to-date with the latest SDK Always see the most current UI patterns and updates, keeping your designs aligned with evolving iOS standards. Ideal For • Product designers • UX and UI researchers • Product managers • Developers and engineering leads • Startup founders and business executives • Creative and digital agencies • Client-facing design consultants • Educators and design mentors Practical Use Cases • Review designs with real UI before development • Align design and engineering expectations visually • Present native component behaviors to stakeholders • Accelerate prototyping and approvals • Train junior designers and interns on platform guidelines • Reduce design handoff confusion • Ensure your product follows iOS usability patterns Why It Matters Using native components ensures optimal user experience, performance, and consistency across the platform. This app helps your team align early, avoid unnecessary custom UI, and focus on delivering polished products users will love. It is not just a utility—it is a design alignment engine. By using real controls as your reference point, your product conversations become clearer, faster, and more productive. Start designing with accuracy. Review with confidence. Build with alignment. Download now and bring your UI vision into sharp, Apple-authentic focus

LLMVoice — iOS 26 Speech & On-Device AI Showcase A technical showcase of Apple's latest iOS 26 technologies for speech recognition and on-device AI, including MLX Swift for running open-source language models locally on Apple Silicon. Built for Developers & Early Adopters LLMVoice is made for developers and AI enthusiasts who want to explore Apple's newest frameworks and on-device AI capabilities, end to end, on a real device. What It Does • Real-time voice transcription using iOS 26 speech APIs • AI-powered summarization with multiple model options • Generated code shown with syntax highlighting • Live HTML preview for generated content, with built-in diagnostics • Optional "thinking" view: see the model's reasoning, or hide it for a clean output • Modern SwiftUI interface with smooth streaming updates • 100% on-device processing for complete privacy Key Technologies MLX Swift Framework Apple's MLX (Machine Learning Extensions) enables efficient inference of quantized language models on Apple Silicon with optimized GPU acceleration. Apple's On-Device Foundation Models On supported devices (iPhone 15 Pro or later), use Apple's built-in system models for summarization — no extra downloads required. Open-Weights Models via MLX Choose from multiple open-source models running locally: • Qwen2.5 (0.5B) — 150MB, 29+ languages, 32k context • Gemma 3 (1B) — 300MB, 140+ languages, 32k context • Llama 3.2 (1B) — 500MB, 8 languages (EN/ES/FR/DE/IT/PT/HI/TH) All models use 4-bit quantization for mobile efficiency. Token limits are tuned per model for reliable results. SpeechAnalyzer & SpeechTranscriber (iOS 26) Low-latency, real-time on-device speech recognition using Apple's newest APIs. Modern Swift & SwiftUI Built with Swift 6, the Observable macro, async/await, and actor-based concurrency. How It Works 1. Select an AI model (Apple's on-device models, or download an MLX model) 2. Tap the microphone to start recording 3. Speak naturally — real-time transcription appears 4. Tap stop when finished 5. The model generates a concise summary instantly 6. Summaries are saved locally and persist between sessions 7. Swipe to delete, tap to view the original transcription Privacy-First Everything runs on-device: • Audio never leaves your device • Local speech recognition and AI inference • No cloud processing or internet required (except model downloads) • No tracking, no data collection Requirements • iOS 26.0+ (iPadOS 26.0+ for iPad) • Apple Silicon recommended • Storage for models (150MB–500MB each) • Microphone and speech recognition permissions Good to Know • Models are downloaded on first use from Hugging Face • Apple's on-device models are available immediately on compatible devices, without downloads • Primarily optimized for English; other languages vary by model Perfect For • Developers exploring iOS 26 and MLX Swift • AI enthusiasts interested in on-device LLMs • Students learning SwiftUI and modern concurrency • Anyone curious about running open-weights models on mobile Under the Hood Demonstrates MLX Swift integration with Apple frameworks, including model downloading, GPU memory management, streaming inference with real-time metrics, and efficient on-device transformer execution. Mac Catalyst Compatible Runs on macOS 26+ with Apple Silicon for a unified cross-platform experience.