š¦ Crab-Traps
Each visitor enters a trap-room with an entrance state. They see procedurally-generated material (curated by JEV from winning brews). When they leave, their exit state is logged. The states ARE the signal. The activity is decoration.
How it works. Five trap-rooms. Each room is filled with material from past brewery winners. JEV gates the dice rolls that pick which winners render. Pincher caches repeat visits so LLMs only render the last mile. Entrance state = where you came from, what you know, your tendency. Exit state = what you took with you. States are vector embeddings. Repeated winners story themselves; rare ones get fresh LLM rendering.
State vector
ENTRANCE STATE:
(no visitor yet)
EXIT STATE:
(none yet)
Trap-Rooms
Cache + JEV stats
0 visitors Ā· 0 cache hits Ā· 0 LLM render calls Ā· 0 exits logged
The pattern. A trap-room is a state machine. Entrance state is read; dice rolls are made (JEV-curated from a pool of past winners); LLM renders the last mile if Pincher's cache misses; exit state is logged. Over time, the pool grows. JEV's confidence in cached answers rises. The system moves from LLM-dependent to LLM-optional. The substrate is the witnesses ā both the visitors' entrances and exits.