Compare the workflow first
A general chatbot can discuss context, organize thoughts and explain terminology. A dedicated calculator turns defined inputs into a result under named rules. They work well together when the model is not asked to invent calendar arithmetic or simulate an unstated random process.
Public sources checked September 28, 2026. No paid or logged-in competitor testing.
| Dimension | Wenbu | General chatbot |
|---|---|---|
| Calendar | Code calculates a result with explicit conventions | Without a real tool call, a model may generate rather than calculate |
| Randomness | Cryptographic draw with original cards or line values | Writing a card name is not evidence of a specified random distribution |
| Context | Agent history and explicitly selected birth details and journal entries | A conversation may already hold context; data scope depends on the host |
| Interpretation | DeepSeek, labeled as AI-generated | The current conversational model; it can also be wrong |
| Working together | Built-in DeepSeek Agent or MCP for your own agent | A tool-capable agent can call Wenbu, then continue the discussion |
Making a choice
If you already use an agent, Wenbu MCP lets it work with a reproducible structure and the context you authorize. The website is useful when you want a visual chart and a quiet local record first.
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