SpeakPal
隐私政策
我们会保存账号信息、学习偏好、课程总结、常见错误、不会的词和课程评分等数据,用来让下一次练习能从你的真实进度继续。
我们不会把你的私人学习记录出售给第三方。生产环境中的数据访问应依赖 Supabase Row Level Security 和后端权限控制。
如果你希望删除或更正自己的数据,可以通过 hello@speakpal.live 联系我们。
SpeakPal 会记录必要的学习数据,用来提供口语课程、长期记忆、课后总结和产品安全保护。
SpeakPal
我们会保存账号信息、学习偏好、课程总结、常见错误、不会的词和课程评分等数据,用来让下一次练习能从你的真实进度继续。
我们不会把你的私人学习记录出售给第三方。生产环境中的数据访问应依赖 Supabase Row Level Security 和后端权限控制。
如果你希望删除或更正自己的数据,可以通过 hello@speakpal.live 联系我们。
我们为什么需要学习数据
SpeakPal 的核心体验是“下次从你的卡点继续”。为了做到这一点,系统需要知道你上次练了什么、哪里卡住、哪些词不会、哪些主题更容易开口,以及课程总结里记录了哪些下一步建议。
这些数据不是为了把用户贴上标签,而是为了减少重复介绍和无效练习。一个好的 AI 英语口语陪练应该记住学习进度,但不应该滥用用户的私人内容。
可能处理的数据类型
产品可能处理账号邮箱、登录状态、学习偏好、当前课程、实时会话元数据、课程总结、常见错误、不会的词、用户说话时长、卡住的话题、喜欢的话题、目标场景和课程评分。
如果语音会话产生转写或摘要,它们应被视为学习记录。我们会尽量只保存对课程连续性有帮助的信息,而不是保存无关的私人细节。
用户选择与删除
如果用户希望更正、删除或了解自己的学习记录,可以通过联系邮箱提出请求。随着产品成熟,我们会把更多数据控制能力直接放到产品界面里。
用户也应避免在口语练习中输入高度敏感的信息,例如身份证件、财务账号、医疗隐私或法律争议细节。练习场景可以使用普通生活、工作、旅行、学习和面试例子。
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This privacy policy explains how the service handles information needed to provide AI English speaking practice. The app may process account details, email access status, learner preferences, selected voice persona, current lesson progress, live session metadata, post-lesson summaries, correction notes, common mistakes, unknown words, satisfaction ratings, and daily usage quota information.
Learning data is used to make the next session more relevant. For example, if a learner often freezes on interview follow-up questions, forgets a word, or enjoys talking about travel, those signals can help the coach choose a better prompt later. The purpose is educational continuity, not advertising resale.
Security depends on server-side access control, Supabase Row Level Security, and keeping private service keys out of public client configuration. Public browser configuration may include an anon key, which is expected for Supabase apps when database policies are correctly enforced. Users can contact the team to request correction, export, or deletion of personal learning data where applicable.
Voice practice may create transcripts, timing signals, lesson metadata, and summary fields that describe the course content, common mistakes, unfamiliar words, stuck topics, preferred topics, goal scenarios, and the last progress point. These records should be treated as learning records and protected accordingly.
The service should avoid storing unnecessary sensitive information. Learners are encouraged not to share medical, financial, legal, or identity details during casual speaking practice. When examples are needed, the coach can work with ordinary daily scenes such as work, food, travel, interviews, home, shopping, and study routines.
Data minimization matters because the product is built on trust. The learner should feel that memory improves the lesson without turning private conversations into unrelated marketing profiles.