AI is great at generating text, but many real-world applications need something much more useful: structured decisions that your software can act on. In TypeSafe AI: Jev Essentials – Building Decision Systems, you will learn how to use Jev by TypeSafe AI to transform unstructured information into structured judgments that can be used directly inside your applications. This is a practical, project-based course. Instead of spending hours on theory, you will learn Jev by building real-world applications and solving common AI decision-making problems. We will start by exploring what Jev is, how it works, and how to obtain and configure your API key. From there, you will quickly move into hands-on projects.
Build a Resume Evaluator
You will build a complete resume evaluation application using the Jev JavaScript SDK. You will learn how to define questions for evaluating resumes, organize and refactor your evaluation criteria, process Jev responses, map those responses into your application’s UI model, and display structured results in a web application.
Classify Customer Support Messages
Next, you will use Jev to classify customer support requests. Using Python and Google Colab, you will evaluate individual customer messages and then expand the solution to process multiple messages in batches. This project demonstrates how unstructured customer communication can be converted into structured information that your software can categorize, organize, and act upon.
