Building a Classifier in Mastra with Jev
Jev has been at the center of AI Twitter for the last week. Make decisions at 200x faster and 400x cheaper. We've just released a new primitive to let you try it out: Classifiers. You choose a model, instructions, and criteria, the Classifier evaluates. We'll demo Classifiers in action (using Jev), exploring different use cases and showing how you can implement them into your project.
In this workshop, Brandon and Abhi will be diving deep into Jev, Classifiers, and how they work together.
We’ll cover:
Classifiers, a new Mastra primitive
How Jev came about and why people are talking about it
What a decision model is and how it differs from large language models
The pros and cons of using Jev vs. LLMs
Use cases that Jev is (and isn't) suited for
What this means for models and agent development as a whole
Join us for a live demo, real code, and the chance to ask questions directly to Brandon and Abhi.
Hosted by
Brandon Barros, Product Advocate, Mastra
Abhi Aiyer, CTO, Mastra
Recording and code examples will be available to everyone who registers.