Cockpit · For moderation teams

Stop arguing about whether the AI checks work

Your reviewers already decide what the detectors got wrong. Cockpit turns those decisions into a score per detector, shows the false alarms and suggests the threshold that cuts them.

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The problem

Reviewers spend hours on false alarms, and nobody can say which detector causes them.

What Cockpit shows

Right, false alarms and missed, per detector, from your own review decisions.

What you do next

Apply the suggested threshold, add a second opinion for unsure cases, watch the false alarms drop.

1 · Detections come in
Detections61,240Speed1.8sFlagged7.4%
09:12:04AI-generated · video · BitMind0.74AI
09:12:03AI-generated · image · Sightengine0.08real
09:12:01Moderation · OpenAI0.11safe
09:11:58AI-generated · video · BitMind0.71AI
09:11:55AI-generated · image · Sightengine0.93AI
2 · Where it's unsure
AI-generated · video · BitMind · threshold 0.70
0.00.51.0
18% of scored verdicts sit within 0.10 of the threshold. Those are the ones worth a second look.
3 · An alert explains itself
ALERTFlag rate up 42% · AI-generated · video
Since 06:00 BitMind flags 9.8% of videos as AI-generated, up from 6.9% yesterday. Most new flags score between 0.70 and 0.78, just over your threshold: likely re-encoded phone videos, not a real rise in AI content.
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Every check your platform runs is counted per detector.

Made-up data on a test account. No real customer.

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Questions

What do we need to send?

Only the final decision for each reviewed item: the content hash (or the request id), the check and the label your reviewer chose. No media.

How many decisions before we see a score?

Cockpit shows a score for a detector once at least 50 of its verdicts have been reviewed, so a handful of cases never decides it.

What about appeals?

Send the new decision for the same item and it replaces the old one, so overturned verdicts count the right way.

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