What it does
Its comparison measures agreement, not correctness, and found a prompt-injection weakness.
Apps & data pipelines
An experiment in replacing an email assistant's expensive model checks with Jev.
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Its comparison measures agreement, not correctness, and found a prompt-injection weakness.
You can use this approach to help an email assistant screen incoming messages quickly. Start by writing down clear yes-or-no questions for your inbox, such as whether an email is bulk marketing. Your developer can then configure the app to ask Jev these simple checks first.
Connecting the app requires an access key provided by TypeSafe. The service reads email text to make judgments, so you must accept sending message content externally. Additionally, safety classifications are not foolproof, and the model struggles with dates, so your developer must handle timing and deadlines in regular code.