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.