Skip to main content

AI Chat

Smart financial assistant - communicate with AI in natural language.

Start a Chat​

  1. Tap the AI icon at the top right of the Home tab
  2. Or long-press the app icon → "AI Assistant"

Chat Examples​

Recording​

User: Record a lunch expense of $15 today
AI: Got it! I've recorded an expense:
    - Amount: $15
    - Category: Food
    - Date: Today
    Confirm to save?

Since 3.2.3, AI Chat also supports detecting multiple transactions in one message:

User: Record: taxi 30 today, dinner 45, bubble tea 18
AI: I detected 3 transactions, please confirm:
    1. Expense / Transportation / $30 / today
    2. Expense / Food / $45 / today
    3. Expense / Food / $18 / today
    Save all? (you can deselect individual rows)

Queries​

User: How much did I spend this month?
AI: Your expenses this month:
    - Total: $1,256
    - Food: $420 (33.4%)
    - Transportation: $180 (14.3%)
    - ...

Analysis​

User: Are there any issues with my spending?
AI: Based on your records:
    1. Food expenses are relatively high, suggest...
    2. Entertainment spending is concentrated on weekends...

Message Actions​

Long-press a message in the chat to perform these actions:

  • Copy - Copy message content
  • Delete - Delete a single message

Custom Prompts​

In AI settings, you can customize prompts to make AI better match your usage habits.

Web Text Recording​

After signing in to BeeCount Cloud on the web, the desktop browser can paste text directly for AI to convert into transactions:

  1. On any page, press ⌘K / Ctrl+K to open the command palette
  2. Paste a text block — WeChat bill text, Excel selection, natural language like "Taxi yesterday 30 + lunch 25"
  3. The default action becomes "AI bill (text)" → Enter
  4. A dialog shows N transaction drafts to review, then save in batch

The server uses a chat LLM (Zhipu GLM-4-Flash / DeepSeek etc., bind it in AI Config) to parse.

Ask the docs from ⌘K​

Type the ?xxx prefix → the command palette default action switches to "Ask AI: xxx" → Enter → opens a RAG-powered Q&A dialog. It indexes the BeeCount-Website docs, so questions like "how to enable 2FA / Docker deploy / how do tags work" return answers grounded in the official documentation.