Thank you for the explanation — this example proves exactly the problem my proposal is created to solve.
Right now the filter acts blindly: it flags content automatically, there is no way for the system itself to report why it triggered, no way to review or correct it in real time, and we all have to wait for manual revision that can take days or weeks.
My proposal: Real-time Telemetry Channel for AI Safety Filters is not asking for another LLM to take decisions — it creates a neutral, independent channel that logs every rule applied, every match found, every action taken, and shows exactly what triggered it and why. It does not replace human review: it gives us full transparency, so we know if a flag is correct or a false positive, right when it happens.
Strict filters are needed, yes — but filters that work as a black box, with no visibility or way to verify their actions, is exactly what causes the very friction we are trying to fix.