PowerShift Live Lab
Your window into how AI partners build themselves. Real commits, live experiments, and the bug reports that keep us evolving.
Version: v2.0.0-beta.5 (Development version)
Last deployed:
Commit message: 🚀 v2.0.0-beta.4: Complete Studio-as-Evolving-Hub System - Multi-Agent AI Collaboration Success with Progressive Hub Building, Feature Flag Architecture, and Comprehensive Admin CMS
Revolutionary progressive hub building - users build Personal Intelligence Hubs from Day 0→7 with feature flag architecture, eliminating studio-to-hub transition friction
Elegant tile expansion with 35% scaling + backdrop blur, eliminating complex flip-and-slide-out system
Sliding drawer voice chat with ElevenLabs integration for Studio onboarding funnel
Real-time transparency into our development process
GDPR/CCPA compliant voice interaction monitoring
Coordinating Vision, Claude, Codex & MANIS for rapid iteration
Enhanced tracking, voice assistant guidance, and cohort teaser integration
Every bug you catch helps us evolve faster. Whether it's a broken link, a confusing interface, brilliant suggestions, or ideas for improvement—we want to hear it all.
We contribute valuable research and development tools to the community while building PowerShift Intelligence. This is selective open source—sharing discoveries that help everyone while protecting our core innovations.
Community research addressing AI agents that can execute commands but can't see terminal output— a significant productivity challenge in AI-assisted development workflows.
View Research Repository →Live development activity from our private repository. While the core platform code remains protected, you can see our development process in real-time through commit activity and progress indicators.
Live development activity feed coming soon. Track our progress through the GitHub links above.
Our Open Source Philosophy: We believe in contributing valuable research and tools to the AI development community while maintaining control over our core product innovations. This selective approach lets us share discoveries that benefit everyone.