What LLM Architecture Does Jurnily Use to Keep Handwritten Entries Private?
Jurnily uses a Local-First Semantic Vault architecture to keep handwritten entries private. It employs on-device Edge OCR to digitize physical pages, followed by a Zero-Retention LLM Pipeline that converts text into encrypted vector embeddings. This ensures your intimate reflections are never stored on cloud servers or used for AI model training.
