Spot the applications that were not really written
A generated application reads beautifully. It hits every point, uses your terminology, and tells you nothing about whether the person behind it will still be around in a month. Reviewers who read fifty applications a week cannot reliably tell the difference by eye.
Staff Application
Submitted 4 minutes ago
AI-generated content likely
Answers 2, 4 and 5 read as machine written
Pasted response
Answer 4 was pasted rather than typed
Completed in 71 seconds
22 questions, including two long-form
What you get with Risk Analysis
Guildbase flags what a reviewer would otherwise miss: answers that look machine generated, text that was pasted rather than typed, and submissions completed faster than anyone could have read the questions.
AI content detection
Flags answers whose writing looks machine generated, so a polished backstory gets a second look rather than a free pass.
Copy-paste detection
Identifies responses pasted in rather than written, which is how the same application ends up submitted to six communities.
Submission timing
Records how long an application took. A twenty-question form completed in ninety seconds tells you something on its own.
Risk flags on the queue
Flags appear on the application itself, so reviewers see them while deciding rather than after.
Advisory, not automatic
Flags inform a human decision rather than rejecting anyone. A flagged application is a reason to ask a follow-up question, not a verdict.
Pairs with interviews
The cheapest test of a suspicious application is a short conversation, which the workflow can require before acceptance.
How it works
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01
Turn detection on for your community
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02
Applications arrive with flags attached
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03
Reviewers see the flags while deciding
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04
Send borderline cases to an interview stage
Risk Analysis FAQs
Does it automatically reject AI-written applications?
No, and deliberately so. Detection is advisory: it flags an application for a human to look at more carefully. Automated rejection on a probabilistic signal would deny real applicants.
How accurate is AI detection?
No detector is certain, which is exactly why the result is a flag rather than a decision. Treat it as a prompt to probe further — usually with a question in an interview that a generated application cannot answer.
What counts as a low-effort application?
The signals are pasted content, machine-generated writing and implausibly fast completion. Together they describe someone who did not engage with the questions.
Can applicants see their risk flags?
No. Flags are staff-side only, alongside internal notes.
Does this replace reading applications?
No. It changes where reviewer attention goes, so the time saved on obvious low-effort submissions is spent on the ones worth a proper read.
Risk Analysis in practice
How communities in these games use it, with the application types they typically run.
GTA RP applications
Whitelist and character applications for GTA roleplay cities on any framework, from FiveM to RageMP and alt:V.
RedM applications
Character and whitelist applications for RedM western roleplay servers, with period-accurate review workflows.
FiveM applications
Whitelist, department and staff applications for FiveM roleplay servers, with Discord roles and in-game apply built in.
Works with
Try Risk Analysis on your community
Free to start, no card required. Bring your Discord server and set it up this afternoon.