📄 中文摘要
一款专注于心理健康的应用程序正在开发中，旨在支持自我发展和反思，而非提供治疗。人工智能在这一产品中可以发挥重要作用，帮助识别模式、组织思维，并通过丰富的功能简化反思过程。然而，这些功能通常需要用户的数据以明文形式存储在服务器上，这在处理日记条目和私人对话时可能导致数据敏感性问题。如果用户感到在写作时受到限制，他们的反思可能不够诚实，从而降低应用的有效性。因此，开发一个端到端加密的日记应用成为了一个重要的方向，以确保用户隐私和数据安全。
构建端到端加密的日记：迈向隐私优先的人工智能的第一步
📄 English Summary
Building an End-to-End Encrypted Journal: My First Steps Toward Privacy-First AI
A startup is developing an app focused on mental health, aimed at supporting self-development and reflection rather than providing therapy. AI can play a crucial role in this product by helping to identify patterns, organize thoughts, and enrich the journaling experience with features that facilitate reflection. However, these features typically require user data to be stored in plaintext on a server, which poses significant privacy concerns when dealing with journal entries and private conversations. If users feel restricted in what they can write, their reflections may not be honest, diminishing the app's effectiveness. Therefore, creating an end-to-end encrypted journaling application becomes a vital direction to ensure user privacy and data security.