Privacy-First Personalization
By processing sensitive tasks locally when possible, next-gen assistants reduce exposure and latency. Imagine voice commands handled on your device, not the cloud. Tell us which tasks you’d want processed locally first.
Privacy-First Personalization
These techniques help assistants learn patterns across many users without pooling raw data, adding mathematical noise to protect identities. Curious about the trade-offs? Ask your questions, and we’ll unpack benefits and limits clearly.
Privacy-First Personalization
Clear dashboards, activity history, pause switches, and easy data deletion build confidence. If you could design one control for your assistant, what would it be? Share ideas to inspire a privacy toolkit that empowers everyone.