What it is
Feel Jev vs an LLM in a 45-minute facilitated lab.
What it does: Hosts scenario probes, threshold missions, and head-to-head duels with latency/cost/calibration panels.
Why it belongs in the showcase: Teaching surface for real hosted Jev decisions with optional live keys.
Caveats: Facilitator tool; sim mode without a key.
Evidence
Public MIT repo, created 2026-10-28, 0 stars as of 2026-10-29. README (French) documents TYPESAFE_API_KEY (empty → simulated mode), JEV_MODEL default jev-latest, Discover/Missions/Duel/Admin tabs, anti-scam filter with probability thresholds, ticket routing, and calibration vs an OpenAI-compatible LLM. HTTP 200 on GitHub.
Caveats
- Without TYPESAFE_API_KEY the lab runs in simulated mode
- UI copy is primarily French; not an official TypeSafe product
- Per-participant call quotas and admin code are operator-configured
Unofficial case page. Stars / list position observed for heat; do not treat heat as a quality SLA. Review the upstream README before you depend on it.