Priya Nair — Reader

Private · entertainment. Priya wants an explorable visual novel, a pocket-dimension return, and the uncomfortable question: what did I cause?

Snapshot

Why she buys

Priya has books and games. She is curious about the difference between watching a character resolve a problem and making a commitment inside it. A served Experience can make the world remember her move without charging her for generation on every reading.

The causal loop

Enter a prepared world → choose at a fork → meet the consequence → ask what she caused → return from another seat or branch. If she only presses Next, the loop has failed.

Opening objection

“Choice games pretend the consequence matters.” Correct objection. The reading must preserve the declared world, show what changed, and avoid annotating the answer before she notices it.

What the model captures

Prepared world state, branch commitments, seat-bounded knowledge, and macro consequence. It does not currently read sentence-level performance or guarantee that a scene is engaging.

What would lose her

Fake choice, spoilers that explain the cause, a public profile of private play, or endless generation latency while she reads.

Shipped / direction boundary

Published Experiences are generated once and served; the reader does not pay generation cost per read. The full reader, pocket-dimension return, and automated search remain specified or directional. Micro analysis is unbuilt.

Seeded situation

• Situation: a city must choose whom to trust during a quiet evacuation.
• Actors: courier, mayor, rival faction, family, unknown informant.
• Incentives: survival, loyalty, status, and concealment.
• Private information: each seat sees a different warning.
• Constraints: one night, scarce transport, no neutral witness.
• Open Fate question: does protecting one person make the city legible to its enemy?
• Candidate moves: trust the informant; protect the family; expose the warning; wait.