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Jev Fraud Classifier

A real-time card-transaction fraud classifier where a System One model makes every live decision and an LLM agent runs only for the ambiguous slice.

Source screenshot of Jev Fraud Classifier
SOURCE SCREENSHOTFull screenshot ↗

What it does

Jev also guards that agent: every tool call it proposes is evaluated and blocked when the yes/no probability crosses a threshold.

How you can use it

Before touching any code, gather past card transactions with known fraud outcomes. Decide your cutoff numbers for instant approvals, outright declines, and borderline charges. Your developer can then configure the system to check transactions rapidly and pass uncertain payments to a secondary AI investigator.

Running this setup requires an access key to connect the system to the TypeSafe AI service. You will also need a separate access key from an AI provider if you enable the in-depth investigation tier. Automated checks can still make mistakes, so never treat high safety scores as a guarantee against fraud.

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