Development Updates
Follow the development journey of this privacy-first AI project. See the latest beta features, technical progress, and upcoming milestones.
Development milestones and technical updates
December 15, 2024 • Development Update
The latest beta includes experimental support for SmolLM2, improved OCR testing, and optimized performance for older Android devices. This is still a beta release with known issues.
Experimental SmolLM2-1.7B model (may have bugs)
Testing improved OCR for document scanning
Memory usage optimizations in testing
November 28, 2024 • Technical Update
Development continues with a strict privacy-first approach. All AI processing happens on-device, with no data collection, analytics, or cloud communication. This is a core principle of the project.
Beta testers have confirmed that the app works completely offline and doesn't send any data externally. This makes it potentially suitable for sensitive use cases, though it's still in beta.
October 22, 2024 • Development Update
Beta testing now includes multiple AI models: Qwen2.5-1.5B for multilingual support and Phi-3.5-mini for reasoning tasks. All models run entirely on-device with zero data collection.
Testing multilingual conversations and document analysis capabilities.
Experimental support for reasoning and mathematical problems.
September 15, 2024 • Project Announcement
This personal project started with a simple question: can AI be powerful and private at the same time? The goal is to explore whether AI assistants can run entirely on your device without compromising privacy.
The project is currently in beta phase, testing various AI models and features. Feedback from early testers is helping shape the direction and identify what works best for privacy-conscious users.
Concepts being explored for potential future development
Continue fixing bugs and improving reliability based on beta feedback.
Better memory usage and faster response times on various Android devices.
Exploring support for more AI models if they can run efficiently on-device.
Improving document processing capabilities for better text recognition.
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