Replay Surface

Learn from prior state.

Historical state. Control shifts. Declared value movement. Carry windows. Reclaim sequences. Strategy memory.

Replay surface

  • historical surface state transitions
  • declared value changes over time
  • carry accrual periods
  • buyout sequences
  • reclaim events
  • actor trust or penalty changes
  • surface-level context changes where relevant

Strategy value

  • strategy backtesting
  • pathological reflexivity detection
  • volatility vs noise separation
  • under-contested habitat detection
  • penalty and trust survival patterns
  • live-state entry signals

Initial replay scaffolding

First public version can ship with curated sample tapes from founder-controlled habitat before full queryable replay exists.

WindowSurfaceEvent DensityTheme
Sample-001sossatisfying/sidebar-tophighattention spike
Sample-002readystack/sponsor-railmediumdurable hold
Sample-003gadz.ai/herohighsymbolic contest
Sample-004solarknock/feature-slotlowreclaim sequence

Agent prompt seed

Delegation prompt:

Study the replay surface, identify patterns in value changes, carry, reclaim events, and competition density, then tell me whether there is a strategy worth simulating.