Against talk /face's guided pose (first paragraph 246 ms median), SemIf in
parallel adds 32 ms and SemIf-first adds 94 ms (n=72 each, noise floor 16.5 ms).
Removing the pose header saves only ~31 ms, and SemIf shares GPU 1 with the LLM.
Acceptable pose 67% vs 92% on clear-emotion lines, and the mood carried through
mundane follow-ups 7/15 vs 14/15. SemIf gestures far less (13% vs 58%).
README: rotations cost options^2 in suffix tokens, and /decide/shared returns
422 when an object state's last value ends in ) ; or }.
Harness consumer_fit.py runs a consumer's per-turn decisions over hand-labelled
cases, with rotations, a content-free null control and tagged positive controls.
Cicada: an input-only 'does this earn a visible reaction?' gate scored 30/31
with descriptive options and 19/31 with terse yes/no options. Scoped by
Cicada's 2026-09-20 ruling (affect is emitted once, no mood-ring classifier).
Wyrd: on 3 real seed graphs, the first place-change wording failed its
positive controls (1/6 moves). A location-anchored rewording scored 21/21, and
exit selection scored 18/21. Semif fits the choice, not writing the node.
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