`portal-trainer simulate` reads the model `question_lint --needs-sim`
exports. A visitor model picks an alternative and fills the form in a
manner that varies by run; the case is then walked along the handling
group's own desk buttons to a finished state, a different one each
run, so every state and button is exercised. At each button the
handler model is asked one thing: with only what the form collected,
could this role really do what the button claims? Its question goes
back to the visitor, who may not know.
Who wins is deliberately not simulated. The first version let the
handler decide: qwen3:8b sent every case to "won", and after one
sentence of prompt change, every case to "lost". Outcomes belong to
the live bucket; `success` in needs.yaml is what a report over real
records counts.
`compare` sets two score files side by side. engines/ollama.sh honours
SEED, FORMAT=json and TEMPERATURE so the same case replays the same
way against two versions of a site. generator/reference.md documents
`success` and `stages`.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01L4jrCgLiKKHAEFuZUJjckH
