Jev: 8 real use cases for the fastest, cheapest model I’ve ever used | John Lindquist

Claire Vo (0:00)

In some ways, managers are really at risk. This concept of like org design and role design, you can put those skills to use when crafting your agents, which is why I am currently running, no joke, 40 graph bots right now.

John Lindquist (0:13)

Whenever you have constrained inputs that are interacting with apps, Jev is a good thing to reach for. This one is a favorite of mine because it represents like a workplace where you have multiple agents, they could all have their own tasks and avoiding collisions so that they never end up on the same space. At each step, it's going to be able to control these different agents and make sure that they get to their specific task as quickly as possible and that they never collide or interfere with the other agents. This one's really fun to me because it's a presentation coach. I click the microphone, I'd start talking out of a list of bullet points, neither a podcast or something that I want to make sure I cover or an interview or anything. It listens to everything I say and then starts checking the boxes to make sure that I covered everything.

Claire Vo (0:56)

This model, which is basically free and incredibly fast, allows you to do discovery over data in a way that feels like it's opening up my opportunities and allowing me to look at things that I thought weren't high ROI before.

Welcome back to How I AI. I'm Claire Vo, Product Leader and AI Obsessive, here on a mission to help you build better with these new tools. Today, I have repeat guest, John Lindquist, who has done one of our most popular episodes to date on the podcast. Here, he is joining us on Jev Week at How I AI to talk about our favorite new model and all the amazing product-facing use cases that he's discovered testing Jev from TypeSafe AI. Let's get to it. John, welcome back to How I AI. I have to say this is Jev Week on How I AI, and the reason it's Jev Week is a lot of models have come out in the past seven days. You and I do a lot of AI things, and yet, when we're DMing back and forth, we're talking about one thing and one thing only, which is Jev.

Folks who maybe listened to my episode early this week about why I'm hyped on Jev, I would love to hear why you're so excited. I'm looking up here, you have 23 demos. I could probably look at, so you are going deep Jev as well. What about this model, this framework, this way of thinking about building has gotten you excited?

John Lindquist (2:31)

Fast and free are both amazing. If you've ever been tired, sending a basic request to an LLM and waiting around for a bit just to have it call a function, this is now essentially instant.

And I think of all the time I've spent on this and the hundreds of demos I made, I think I've spent 73 cents on it. And I love the one quote someone said, I think I'm going to pass this inheritance of Jev on to my children once I die.

Claire Vo (3:01)

Yeah, I like the one where it was like, TypeSafe is really taking off. They have to have made double digits in revenue by now.

John Lindquist (3:08)

Yes.

Claire Vo (3:09)

So yes, fast and free.

I also have had that experience where it ran over like, I don't know, 20,000 records. I was like, I have charged you 0.4 cents.

John Lindquist (3:21)

Right. It exposes those scenarios where I thought, like I had five gigabytes of JSON. I'm like, I had never passed this into an LLM. I don't have that budget on and on. I'm like, let's see what happens. It was 40 cents, and I wasted it on a really stupid thing, like trying to organize this or whatever.

But five gigabytes of JSON is a lot of text. And it went through and did the whole thing in probably a couple of minutes.

Claire Vo (3:51)

That's been my experience too, which is I'm looking at corpuses of data that I would never just dump into an LLM, both from a cost perspective and honestly from a time perspective. It's like, this is not worth my time to even see if something's here. But then this model, which is basically free and incredibly fast, allows you to do discovery over data in a way that feels like it's opening up my opportunities and allowing me to look at things that I thought weren't high ROI before.

John Lindquist (4:27)