VIDEO
HIGHLIGHT
Log InSign up
Jev is HERE. How to use it
SummaryTranscriptChat

Jev is HERE. How to use it

Introduction to Jev and Its Significance

Overview of Jev

  • Jev is a groundbreaking AI developed by Dooo Almeida, the creator behind ChatGPT, representing a new approach to artificial intelligence.
Summarize any video like this, free
  • The episode aims to explain what Jev is, its potential use cases, and startup ideas it can unlock. It is currently invite-only.

Learning Objectives

  • Ryan Vogle discusses that listeners will learn about a novel type of AI classifier that differs significantly from traditional LLMs in terms of quality, speed, and cost.
  • The goal is to provide simple explanations of Jev's functionality along with practical examples that could lead to profitable business opportunities.

Understanding How Jev Works

Basic Functionality

  • Jev operates as a classifier; it takes an input (e.g., an iPhone image or email content) and produces outputs based on defined schemas.
  • For example, when classifying an iPhone's color, it provides probabilities for each possible color rather than definitive answers.

Email Classification Example

  • An email object serves as input for classification into categories like shopping or work while also assessing priority levels and spam scores.
  • Each email receives a spam score expressed as a percentage rather than a binary true/false outcome.

Cost Efficiency and Speed

Performance Metrics

  • Processing 1,700 emails using Jev costs only 18 cents total, showcasing its efficiency compared to traditional methods.
  • Users can expect rapid processing times—around 200 milliseconds per query—making it suitable for real-time applications.

Decision-Making Capabilities

Probability-Based Decisions

  • Unlike traditional models that provide definitive answers, Jev offers probability-based decisions (e.g., "83% likely to buy").
  • This model allows users to make informed choices without requiring absolute certainty in outcomes.

Application Scenarios

  • Businesses can utilize Jev for quick decision-making tasks such as categorizing emails or determining customer intent based on incoming data.

Practical Applications of Jev

Business Use Cases

  • Entrepreneurs can leverage Jev in various scenarios where quick decisions are necessary—like evaluating leads in sales funnels or routing support inquiries efficiently.

Innovative Ideas

  • Users are encouraged to think creatively about integrating Jev into their workflows wherever decision-making occurs based on data inputs.

Future Potential and Startup Opportunities

Exploring New Ventures

  • There’s potential for startups focused on aggregating services where incoming requests could be processed through Jev for instant matching with service providers.

Conclusion

  • Overall, the discussion emphasizes the versatility of Jev across different industries while highlighting its affordability and speed as key advantages.

Overview of Jev's Browser Control Capabilities

Demonstration of Speed and Efficiency

  • The browser control feature of Jev is showcased, demonstrating its ability to select a flight from Zurich to London in just 7.1 seconds.
  • This speed is highlighted as significantly faster than other AI agents, which typically take one to three minutes for similar tasks.

Accessing Jev

  • Currently, Jev is on a waitlist; however, it may be available for general access by the video's release date.
  • For immediate access, users can visit the Verscell gateway where Jev is readily available for testing.

Practical Applications and Tips

  • Users are encouraged to engage with their AI agents about daily workflows that could benefit from using Jev as a decision-making tool.
  • The affordability of testing Jev is emphasized, with costs being extremely low—around 1/1000 of a cent—making it accessible for experimentation.

User Experience and Recommendations

  • The experience with Jev is described as addictive due to its speed and efficiency; users are urged to try it out for various classification tasks or personal projects.

Turn any video into a summary like this

YouTube links, meetings, lectures. With transcripts, search, and chat.

Start for free
Video description

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, whatever the input and output structure. • Use Jev at any point where a business makes fast, repeatable decisions on incoming data. • Keep Jev in an advisory role, and save frontier models for high-intelligence tasks like trading. • Instant access runs through the Vercel Gateway, and a waitlist covers direct access. Numbered Section Summaries 1. What Jev Actually Is Ryan explains Jev as a classifier. You define an input and an output schema, and Jev returns a probability for each option, for example 80% orange, 10% red, and 10% blue for the color of an iPhone. 2. The 18-Cent Email Demo Ryan runs Jev on 1,700 of his own emails and scores each one for category, priority, spam score, and reply likelihood. The run uses 4.2 million input tokens and 500,000 output tokens and costs 18 cents total. 3. A Decision Model, Distinct From a Chat Model Jev returns only structured output, meaning the numbers and categories from your schema, with zero visible reasoning. Developers can drop that type-safe output straight into code. Ryan also tests Jev as a letter-by-letter text generator to show how a decision model differs from a chat model. 4. Cheap Enough to Experiment A $5 intro credit lasts Ryan's team two days of heavy use, and he estimates $10 could last about three months. His girlfriend's graphic design agency uses Jev to score contact-form leads on a scale from 0 to 1, so high-value leads get a fast reply. 5. The AI Traffic Cop I frame Jev as a traffic cop: information comes in, and Jev decides what it is, how important it is, and what happens next. A high-confidence lead goes to a human, a lower score goes to automation or an LLM, and the lowest scores get ignored. Ryan adds support routing, where 200-millisecond answers replace slow streaming responses. 6. Put Jev at the Front of the Queue I ask how to find a business with an expensive queue of incoming information and put Jev at the front of it. Ryan describes a local services platform that matches a request like "I need my driveway power washed" to the best nearby business and turns "instant quote" forms into truly instant quotes. 7. Where Jev Struggles Ryan's Bitcoin test, which asks Jev to buy, hold, or sell every minute, performs poorly. OpenAI's latest frontier model does a little better because it cross-references news. Ryan's advice: use Jev for routing-style decisions and keep it away from your portfolio. 8. Clips, Browser Control, and Getting Started Ryan's video clipper scores 17 moments in about three seconds, and he builds it in about 10 minutes. A Browser Use demo shows Jev picking a flight from Zurich to London in 7.1 seconds. To start, use the Vercel Gateway and ask your AI agent which of your daily workflows could use a decision maker like Jev. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND RYAN ON SOCIAL X: https://x.com/ryanvogel Youtube: https://www.youtube.com/@vogeldev/videos