prediction process
Prediction architecture without unnecessary friction
This describes the best path: the client starts not with a dictionary, but with a life scene. The system helps shape the question, choose depth, open the table, receive a short conclusion, buy the full scroll, and return for verification.
01
Scene first, deck second
The client should not start by choosing a complex spread. They choose a life scene: message, money, choice, day, work, conflict, home. The system proposes depth.
- Scene reduces choice anxiety.
- Scene improves question precision.
- Scene helps sell the right format.
Before the table, the question should be rewritten from vague to workable: not 'what will happen', but 'what tone to choose', 'what to check', 'what blocks', 'what first step'.
- Yes/no request becomes conditions and signs.
- Money question is cleaned of bets and promises.
- A question about a person does not become surveillance.
52 cards answer quickly, 36 give a middle field, 32 create a senior social tableau. This makes the hall richer than Lenormand in everyday flexibility.
- 52: free and entry-level.
- 36: premium bridge.
- 32: expensive wide session.
The table should show not a UI form, but a small ritual: card backs, shuffle, client's hand or oracle's hand, chosen positions, soft move to answer.
- Shuffle button works before the first card.
- Card selection feels manual.
- Transition after the final card is automatic.
05
Two-layer answer reveal
First a short free conclusion, then a premium scroll: card evidence, red-black dynamics, courts, timing, risk, step, and archive trace.
- Free: direct tone and one step.
- Paid: full grammar and evidence.
- Archive: check in 3 or 7 days.