BeeChinese is not a generic LMS, generic chatbot, or generic forum. It is an AI-enabled Chinese-learning SaaS for primarily English-speaking international students.
Default product lens:
- Strengthen one real learning loop at a time.
- Prefer teaching behavior over generic content display or generic chat.
- Keep outputs structured when AI features are involved.
- Stay MVP-friendly, but do not claim learner history, reports, or progress behavior that the implementation does not actually support.
The main product loops are:
- Course learning: discover course -> study lesson -> persist progress.
- Exercise feedback: answer -> grade -> review -> retry.
- Speaking drill: repeat sentence -> score/correct -> revisit weak items.
- Scenario tutor: guided dialogue -> hint/correct -> structured session report.
- Community pragmatics: ask about real Chinese usage -> discussion and selective expert-AI help.
Common BeeChinese failure modes:
- Building a generic course website instead of a learning loop.
- Treating the AI tutor like unrestricted chat instead of guided teaching.
- Returning unstructured prose for AI grading.
- Ignoring cultural-pragmatic nuance in community or expert-AI work.