Building a moderation queue that doesn't fall behind

AI screening is triage, not a verdict

AI Quality Screening looks at a submitted campaign and flags it for things like thin descriptions, mismatched categories, or content that doesn't read like a real project. It doesn't approve or reject anything - it just tells you which campaigns in the queue deserve a closer look first. Treating a model's output as a recommendation to a human reviewer, rather than a decision in itself, is what keeps false positives from silently killing legitimate campaigns.

Filter before you read

A queue you can filter by status, category, creator, and date is the difference between a reviewer working through submissions in a sane order and one scrolling through everything chronologically. Once flagged campaigns surface first, a reviewer can clear the "probably fine" majority quickly and spend actual attention on the ones that need it.

Leave a note, every time

Approve, reject, or suspend - but always with a note the creator can see. A rejection with no explanation generates support tickets and repeat low-quality resubmissions. A rejection with a specific reason ("no reward tiers defined" or "cover image missing") usually gets fixed and resubmitted correctly on the first try.

Rate-limit the write path, not just the login form

Moderation isn't only about content quality - it's also about volume. Every write action on the platform being rate-limited (not just login attempts) means a script can't flood the queue with junk submissions faster than a human could ever review them. That's a quieter kind of moderation, but it's what keeps the queue a "review backlog," not a denial-of-service vector.

What this looks like day to day

In practice: new submissions land in the queue with AI flags already attached, a reviewer works flagged-first, approves or rejects with a note, and the creator gets that note immediately. No campaign goes live without a human having looked at it - the AI's job is only to make sure the right ones get looked at first.

See how AI Quality Screening works in the admin panel →

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