Human + AI Learning
Feedback Grading
Human-in-the-loop grading for decisions. Train your policies with real operator feedback.
Overview
Feedback Grading allows human operators to review and grade OmegaEngine decisions. This creates a continuous learning loop that improves policy accuracy over time.
- ✓ Grade decisions as correct, incorrect, or needs review
- ✓ Add notes and context to each grade
- ✓ Automatic policy weight adjustment based on feedback
- ✓ Track grader accuracy over time
API Example
// Submit feedback for a decision
await omega.feedback.grade({
decisionId: "dec_abc123",
grade: "INCORRECT",
correctOutcome: "ALLOW",
reason: "False positive - vendor was already approved",
graderId: "operator@company.com"
});
// Bulk feedback for training
await omega.feedback.bulkGrade([
{ decisionId: "dec_1", grade: "CORRECT" },
{ decisionId: "dec_2", grade: "CORRECT" },
{ decisionId: "dec_3", grade: "INCORRECT", correctOutcome: "BLOCK" }
]);Feedback Dashboard
Access the feedback dashboard at /learning to review pending decisions, submit grades, and track calibration metrics.