jevcal

What it does

jevcal derives confidence thresholds, checks calibration, and watches typed decision models for drift against an LLM teacher.

How you can use it

Start by collecting a few hundred real examples of incoming messages. Write down the questions you need answered, such as whether an email looks like fraud. Label each message with the correct answer yourself, or let an AI fill in missing answers so you can check them.

A developer can then test these examples using a dedicated access code for your model service. They can find out when the fast model is reliable and when it guesses. Your app can then handle sure answers immediately and send doubtful ones to a smarter model or a person.