Use Cases
Built for real decisions
Explore repeated decisions that developers can train and evaluate, including moderation, fraud scoring, support triage, and agent gates.
AI Agent Action Gating
Evaluate a compiled decision gate for repeated actions in an AI agent's loop.
Content Moderation
A controlled synthetic benchmark reported 91.5% accuracy and a 41ms batch-average time per item for content moderation.
Fraud Scoring
Evaluate a compiled decision model for repeated transaction-risk routing.
Lead Qualification
Evaluate a compiled decision model for repeated inbound-lead routing.
Support Ticket Triage
Build a support-priority route and evaluate it against an under-100ms compiled-path target.