Project B
Modern Development Framework for Cross-Device AI-Integrated Consumer Applications
Building cross-platform applications with AI integration requires stitching together multiple specialized stacks, leading to fragmented development and deployment complexity.
Multiple codebases for web, mobile, and desktop platforms
Complex AI integration across different platform capabilities
Fragmented deployment pipelines for each target platform
Inconsistent AI behavior across devices and platforms
A proprietary React-first framework that enables single codebase development with built-in AI integration and one-click deployment across all platforms.
Single codebase deployment to web, mobile, and desktop
Built-in AI features and platform integration with local/cloud computing options
ADAPT layer for platform-agnostic AI and feature detection
Monorepo architecture with unified versioning and atomic changes
Why Choose Project-B
Essential features that make Project-B Framework powerful and developer-friendly.
Cross-Platform Deployment
Build once, deploy to web, mobile, and desktop with consistent behavior across all platforms.
AI Features & Platform Integration
Built-in support for image generation, text-to-speech, natural language conversations, document analysis, code generation, and real-time AI assistance. Integrates with leading AI companies and platforms.
Single-Button Deployment
Automated build and release pipeline producing executables and bundles for all target platforms.
ADAPT Layer
Platform-agnostic AI and feature detection that exposes the right capabilities per platform.
Local or Cloud Development
Choose between secure local AI processing or powerful cloud-based AI services based on your needs.
Progressive Enhancement
Web-first baseline with opt-in platform extras like sensors and native APIs where available.
Current Development Status
Real-time progress on Project-B Framework development milestones and deliverables.
One-Click Multi-Platform Deployment
In ProgressEnd-to-end build and deploy pipeline producing desktop, mobile, and web artifacts from a single action.
Key Deliverables
- •Automated build pipeline setup
- •Desktop app generation and packaging
- •Mobile app creation and optimization
- •Web deployment optimization
- •Single-command deployment workflow
Cross-Platform AI Integration
PlannedUniform AI APIs and model/runtime adapters that behave consistently across all target platforms.
Key Deliverables
- •ADAPT layer architecture design
- •AI feature detection system
- •Local AI processing integration
- •Cloud AI service connections
- •Seamless switching between local/cloud
MVP Dogfooding App
PlannedInternal application exercising cross-platform UI, AI flows, and deployment to validate reliability and performance.
Key Deliverables
- •Cross-platform UI validation
- •AI flow testing and optimization
- •Performance benchmarking
- •Reliability testing across platforms
- •User experience validation