Premoot
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Premoot Arena

Try a story. See who catches it.

  1. Write
  2. Read the room
  3. See who catches it

Local rehearsal

Give the town a story.

All six Moots read the same words through different audience lenses.

Up to 2,000 characters122 / 2000

Simulated. No API, wallet or real audience.

Write or select a narrative, then review it.

The town is waiting.

Review your story, then run the local simulation to explore 1,000 nodes, six lenses and the Response Index.

No live Jev inference is connected to this Arena.

About this simulation

This Arena runs entirely in your browser. It makes zero API or model requests, connects no wallet and stores no narrative on a server.

Six lenses, one rule set

Shared Moot profiles supply the names, lenses and authored quotes. Local word matches increase catch probabilities; hype words add roast probability. The remaining probability is ignore. This is a keyword demonstration, not language understanding.

Why 1,000 points?

The six lenses are assigned almost evenly across 1,000 nodes (four get 167, two get 166). A hash of the trimmed, case-sensitive input and node number selects each stance. Same input, same results. Nodes are synthetic, not votes, identities or independent model calls.

How to read the Index

60 + 40 × (catch − roast) / 1,000. It is an application-layer projection, not a price, prediction or measured outcome. A base of 60 is a formula choice, not a neutral audience rating.

Examples and limitations

Latest signals are fixed fictional examples. Homepage percentages are authored separately. Arena results come from local rules; they are not live Jev reports. The rules only recognize a small English keyword vocabulary.