Hey PH, I'm launching NilaMind on July 16, and wanted to start a conversation before then.
The core bet behind it: a mental-health companion app should never need your data to leave your phone. No account, no backend, no analytics - the AI model, the crisis-safety checks, even voice transcription all run on-device.
I'm curious what this community thinks: does "fully on-device" actually matter to you when it comes to AI apps that touch something personal, or is convenience/cloud-power usually going to win out? And if you've used other on-device AI apps, what made them feel trustworthy (or not)?
Happy to answer anything about the architecture too - happy to go deep on the crisis-detection design, the model choice, or why I skipped a backend entirely.
NilaMind is an Android app built around Nila — someone to talk to by voice or text for everyday emotional support. The AI model, crisis-safety checks, voice transcription, and all your data stay on your phone. No account, no backend, no analytics by default. Now with research-backed protocols (Relapse Prevention, Mindfulness, Behavioral Experiments), a redesigned private diary, and clinician PDF export — everything still runs fully on-device, nothing leaves your phone.
