How OfferGuard AI reviews a document

The checker extracts readable content from pasted text and uploaded files, then looks for language patterns and document signals that commonly appear in fake hiring and internship scams.

The output is not based on one line alone. A high-risk verdict usually appears when several strong scam markers show up together, especially payment pressure combined with identity uncertainty, unrealistic speed, or unusual document requests.

A review verdict usually means the content contains meaningful warning signs, but the evidence in the uploaded text is not strong enough to call it clearly dangerous without more verification. A low-risk verdict means fewer strong scam markers were found in the submitted evidence, not that the offer is proven safe.

Scammers adapt their wording quickly, and some genuine employers may still use incomplete or awkward language. That means any AI checker can miss context, and some legitimate hiring flows may still look unusual at first glance.

The product is intentionally written to surface that uncertainty instead of hiding it. When the evidence is mixed, the result should push the user toward manual verification rather than blind confidence.

The methodology is strongest when it helps the user focus on the next checks that matter. Before acting on an offer, users should still verify the recruiter, the company domain, the interview trail, and any request for money or identity documents.

OfferGuard AI research and review desk reviews methodology copy, signal framing, and public trust content before major updates are published. This does not make the product infallible, but it does make the review process easier for users to audit.