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.

02

Question clinic

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.

03

Choosing deck depth

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.

04

Table immersion

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.