A technical reference for operating the platform responsibly, improving report quality, and ensuring the agents and reward system remain aligned with the product’s goals.
The platform should define how disputes are handled, how severity is interpreted, how reward outcomes are documented, and how low-confidence findings are marked. Without governance rules, the system becomes inconsistent and harder to trust.
This is especially important when multiple stakeholders are involved: researchers, program owners, reviewers, and automation systems. Clear policy boundaries prevent operational drift and reduce unnecessary conflict.
The system should capture feedback at each stage. That includes report quality, review time, false positive rates, reward fairness, and communication effectiveness. These signals help the product improve over time instead of relying on intuition alone.
Each loop should be visible to the operators, because the risk of silent failure is high when the system gets more complex. Good instrumentation is part of the product itself.
Capture report and review data
Measure outcome quality and speed
Identify weak points in the flow
Tune the policy or agent behavior
Re-evaluate the next cycle