Podcast Episode

Jev is HERE. How to use it

The Startup Ideas Podcast
Sep 18, 202628 minEN
Guest
RVRyan Vogel

Who’s talking

2 speakers
Ryan Vogel23 min · 81%
Greg Isenberg5 min · 19%

Transcript

33 turns · 28 min
GI
Greg Isenberg0:00

Jev is here and it's a big deal. It was created by Diogo Almeida. Yes, that's the same guy whose research built ChatGPT. Now it's such a big deal because it's a whole new way to do AI. So I brought on my friend Ryan, who's on the founding team of OpenCode, to just come on and clearly explain what Jev is, what are some insane use cases, and break down some startup ideas that are now unlocked. As of publishing this, Jev is invite-only, but good news, by the end of the episode, you're going to see how you can get access today. So you're going to want to like, comment, and subscribe right now so your algorithm knows to bring you content like this to get your creative juices flowing in the future. Happy Jev Day, and I'll see you at the end of the episode. Ryan Vogel, welcome to the pod. By the end of the episode, what are people gonna learn?

RV
Ryan Vogel0:59

We're gonna

GI
Greg Isenberg0:59

learn about

RV
Ryan Vogel1:00

a new type of AI, a type of AI that we haven't really seen before, but I think it's good. It's Jev, and people are ready for this new type of classifier AI because we've been so used to just learning and using these LLMs, which are slow, they stream, and I think, as we'll cover today, This AI is fundamentally different in so many different ways with quality, speed, and price that there are so many different usage applications for it that the possibilities are truly endless. And it just becomes on the humans again about how creative you can be.

GI
Greg Isenberg1:41

I just have a few things I need from you because I haven't used Jev. I want you to give me the simplest possible explanation of Jev. I want you to give me three or four insane use cases so that people can walk away from this episode with like, productivity, making money, just like even boring use cases that could become $10 million businesses, $100 million businesses. And I just want you to put it all together, wrap it in a bow that people understand. If they stick around to the end, that they'll be able to understand why should they care about it. Can you commit to that, Ryan Vogel?

RV
Ryan Vogel2:16

I can. I can. And I'll add one better. I'll make it entertaining so that way you can actually get excited about it. Because first up, I'm just going to start out with a demo. This is my email. I'm not afraid to share it. I've been working with email. If you know me at all, you know that I love email because it seems unsolved. I mean, like, Greg, how many spam emails do you get every day? Like... There's too many, right? There's too many. You can't reply to all of them. And it's just so frustrating. And some of the email algorithms that exist are good, but it's not the best. But then some people are trying to like take like traditional AI where it's like they're having like a GPT 5.6 Luna, like kind of read every email and then score it. But that takes time and it's not like instant. And it's just like, oh, I wish we could just have something that could like instantly categorize all the emails. So... This is that this is using Jev. And before I run it, I'm going to break down Jev in a super simple example. Jev is a classifier at its truest being. That's what it is. I won't get into the architecture and stuff like that, because honestly, I don't even understand it that

Episode notes

In this episode, I talk with Ryan Vogel about Jev, a new type of AI built for classification. Ryan shows how Jev takes an input plus an output schema and returns a probability for each choice in about 200 milliseconds. He demos Jev sorting 1,700 emails for 18 cents total, then covers lead scoring, support routing, video clipping, and browser control. I push him on the startup angle: find a business with an expensive queue of incoming information and put Jev at the front of it. You leave with a clear mental model, real use cases, and a simple way to try it today.

Links Mentioned:

Jev/Typeface AI: https://typesafe.ai

AI Gateway: https://vercel.com/ai-gateway

Timestamps

00:00 – Intro

02:27 – What Jev Is and Why It Matters

04:32 – Email Triage Demo

07:19 – Jev as an AI Decision Maker

15:46 – How to Use Jev in a Business

20:48 – Startup Idea: Local Services Matching and Instant Quotes

22:51 – Use Case 1: Bitcoin Signal Test and Limits

24:03 – Use Case 2: Auto-Clipping Long Videos

25:27 – Use Case 3: Browser Control: Flight Pick in 7.1 Seconds

26:18 – How to Get Access

27:25 – Closing Thoughts

Key Points

  • Jev is a classifier: an input and an output schema go in, and a probability for each choice comes out.
  • Ryan's demo scores 1,700 emails for 18 cents total.
  • Each Jev query takes about 200 milliseconds,

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