The benchmark now leads with the product's actual feature. Two explicit modes:
🧭 Smart routing (default) — every probe goes through cortiq-auto; each row
shows the router's task label judged against the expected one (✓/✗ with
"expected: …"), the complexity tier, the chosen model with what that
request cost, and a task-rule badge when a routing rule fired. KPIs:
answer quality, classification accuracy, TTFT, tok/s and money spent,
plus a "requests went to" distribution with per-model cost.
🎯 Individual models — the old head-to-head comparison, now as the clearly
separate option (model checkboxes appear only here).
The suite covers all 8 taxonomy labels (added summarization, creative-writing
and chitchat probes; expected labels annotated per test). Results are LIVE:
the table grows a row after every test (with a small fade-in), the progress
card shows the prompt being asked, and a 🏁 verdict toast lands at the end
with the score and the total spend.
12 new strings in all 7 languages.