Clippy – screen-aware voice AI in the browser
A friend and I built a browser prototype that answers questions about whatever’s on your screen using getDisplayMedia, client-side wake-word detection, and server-side multimodal inference. Hard parts: – Getting the model to point to specific UI elements – Keeping it coherent across multi-step workflows (“Help me create a sword in Tinkercad”) – Preventing the infinite mirror effect and confusion between window vs full-screen sharing – Keeping voice → screenshot → inference → voice latency low enough to feel conversational We packaged it as “Clippy” for fun, but the real experiment is letting a model tool-call fresh screenshots to help it gather more context. One practical use case is remote tech support — I'm sending this to my mom next time she calls instead of screen sharing. Curious what breaks.
✨ KI-Zusammenfassung
A friend and I built a browser prototype that answers questions about whatever’s on your screen using getDisplayMedia, client-side wake-word detection, and server-side multimodal inference. Hard parts: – Getting the model to point to specific UI elements – Keeping it coherent across multi-step workflows (“Help me create a sword in Tinkercad”) – Preventing the infinite mirror effect and confusion between window vs full-screen sharing – Keeping voice → screenshot → inference → voice latency low enough to feel conversational We packaged it as “Clippy” for fun, but the real experiment is letting a model tool-call fresh screenshots to help it gather more context. One practical use case is remote tech support — I'm sending this to my mom next time she calls instead of screen sharing. Curious what breaks.
Am besten geeignet für
Entwickler, Produktteams und technische Gründer.
Warum es wichtig ist
A friend and I built a browser prototype that answers questions about whatever’s on your screen using getDisplayMedia, client-side wake-word detection, and server-side multimodal inference. Hard parts: – Getting the model to point to specific UI elements – Keeping it coherent across multi-step workflows (“Help me create a sword in Tinkercad”) – Preventing the infinite mirror effect and confusion between window vs full-screen sharing – Keeping voice → screenshot → inference → voice latency low enough to feel conversational We packaged it as “Clippy” for fun, but the real experiment is letting a model tool-call fresh screenshots to help it gather more context. One practical use case is remote tech support — I'm sending this to my mom next time she calls instead of screen sharing. Curious what breaks.
Hauptfunktionen
- A friend and I built a browser prototype that answers questions about whatever’s on your screen using getDisplayMedia, client-side wake-word detection, and server-side multimodal inference.
- Hard parts: – Getting the model to point to specific UI elements – Keeping it coherent across multi-step workflows (“Help me create a sword in Tinkercad”) – Preventing the infinite mirror effect and confusion between window vs full-screen sharing – Keeping voice → screenshot → inference → voice latency low enough to feel conversational We packaged it as “Clippy” for fun, but the real experiment is letting a model tool-call fresh screenshots to help it gather more context.
- One practical use case is remote tech support — I'm sending this to my mom next time she calls instead of screen sharing.
- Curious what breaks.
Anwendungsfälle
- Review original launch sources before making adoption decisions.
- Track community momentum from Product Hunt, GitHub, and Hacker News.