I am ready to move from concept to a full architectural blueprint for QR code “Sanctuary,” a 100 % local-first mobile application that guides users from a state of striving to one of restoration through a voice-activated “Digital Altar.” I need an architect who is equally at home with native mobile stacks (Swift/Objective-C, Kotlin/Java, C++), low-level WebGL/Canvas rendering, Core ML-based on-device models, and rigorous edge-computing privacy patterns. Core experience I expect you to bring • Voice-activated interactions that feel immediate and natural, processed entirely on-device—no cloud calls, ever. • Custom procedural animations and visuals, driven by parametric or ML-assisted logic, that reinforce the altar metaphor and the user’s restorative journey. • Biometric security and privacy protocols that weave Touch ID / Face ID (the “Biometric Veil”) with a glyph-based second factor, ensuring data never leaves the handset. • A UX approach that balances easy navigation, high responsiveness, and seamless voice commands without compromising the meditative feel. Deliverables I need from you 1. Visual & Layout Framework (“Digital Altar”) – component hierarchy, rendering pipeline, and asset guidelines for iOS and Android. 2. Procedural Animation & Transmutation Logic – a technical implementation guide (WebGL/Metal/Vulkan shaders, state machines, parameter maps) referencing the detailed aesthetic brief I’ll share. 3. Core Architecture & Privacy Protocols – diagrams and narratives showing all local-first data flows, zero-knowledge encryption layers, and offline sync logic for multi-device use. 4. Security & Access – detailed design of the Biometric Veil & Glyph enrollment, fallback, and recovery paths. 5. History Vault – schema and indexing plan for the on-device encrypted database that preserves user journeys while remaining performant. Acceptance criteria • All modules must run without network access and gracefully degrade when permissions (microphone, biometrics) are revoked. • Documentation must be precise enough for a downstream iOS/Android team to implement without additional discovery. • Code snippets compile under the latest Xcode / Android Studio versions with no third-party telemetry. If this synthesis of privacy-first architecture, advanced graphics, and on-device intelligence is your wheelhouse, I’d like to review an outline of your approach and estimated timeline.