Large shifts in wording do not always mean the tool is random. Often they reveal that the original question was too wide to anchor well.
A narrower question gives the model fewer places to drift.
What matters first
Keep one theme per question.
Give the question a real time window.
The most useful AI answers do more than sound confident. They make the basis, condition, and next verification step easier to see.
In Zi Wei style work, it helps to connect life pattern, money structure, career position, and movement or platform line instead of reading one isolated symbol.
A practical scenario
'Career and money this year' is already two questions.
'Will this relationship work' is often too broad until you name the real block.
A practical user test is to compare one past event with one live decision and see whether the emphasis changes with the question instead of staying flat.
The boundary to remember
Different wording can expose weak question design, not only weak modeling.
Better products often help you narrow the scope.
If an answer gives no basis, no condition, and no cost, it should stay reference-level rather than decision-level.
Boundary birth times, wide question scope, and unclear question shape are common reasons the answer starts to drift.
A safer order
- Keep one theme.
- Define one stage.
- State the real choice you want help with.