“How are learning records protected?” “How is data kept safe?” We balance the freedom of inquiry-based learning with high security standards.
Conversations with AI and terrain you focused on are saved as an inquiry trail, so you can resume seamlessly from where you left off.
Gemini instructions adapt to learning level and interests, so feedback stays deeper and more relevant.
"From one-off experiences to continuous learning."
End-to-end encryption over HTTPS helps keep learning data from being intercepted in transit.
Escaping and sanitization at render time help block injection of malicious scripts.
Keys are managed via environment variables and are not exposed on the client side.
Script execution is restricted at the browser level to trusted sources.
This site uses Geospatial Information Authority of Japan (GSI) map tiles and map data from MIERUNE (OpenStreetMap contributors).
We plan secure authentication with Firebase Auth and Google OAuth without storing passwords ourselves. Row-level security (RLS) on the database isolates and protects each person’s inquiry data.