Jev is HERE. How to use it
Friday, 18 September 2026 · 2 min read · Listen to the episode ↗
In this episode, we explore Jev, a groundbreaking AI technology that excels in classifying emails with remarkable speed and affordability. Unlike traditional large language models, Jev categorizes emails into segments like shopping and finance, offering a spam score and urgency assessment. With processing times around 200 milliseconds and costs as low as 18 cents for 1,700 emails, Jev presents a cost-effective solution for businesses, though users are advised to employ it cautiously in advisory roles rather than for critical decisions.
Jev represents a significant advancement in AI technology, distinguishing itself from traditional large language models (LLMs) through its unique classification capabilities, speed, and cost-effectiveness. Unlike LLMs that generate text, Jev functions as a classifier, providing probabilities for categorizing emails into various segments such as shopping, work, marketing, and finance.
The affordability of Jev is notable, with the cost to categorize 1,700 emails amounting to just 18 cents. This low cost makes it accessible for users, who can begin utilizing Jev's services for as little as $5. Additionally, Jev offers a spam score expressed as a percentage, enhancing its utility beyond a simple binary classification. It can also assess the urgency of emails, marking them as important or urgent, which adds another layer of functionality.
Jev operates as a decision model, evaluating inputs and generating outputs without engaging in internal reasoning. This positions it as an AI traffic cop, effectively directing information and determining subsequent actions. Its speed is impressive, processing queries in approximately 200 milliseconds, which is a marked improvement over traditional AI models. This rapid processing capability allows businesses to evaluate lead quality efficiently.
While Jev has a wide range of applications, including providing instant service quotes and transcribing video content, it is essential to approach its use with caution. Users should not depend on Jev for all interactions or for making high-stakes financial decisions, such as stock trading. Instead, it is recommended to utilize Jev in a supportive advisory capacity, being mindful of its speed and low cost, which can lead to over-reliance.
Testing Jev is remarkably inexpensive, costing around 1/1000th of a cent per query. Currently, access to Jev is limited to a waitlist, but it is anticipated that it will soon be available for broader testing. This potential for wider accessibility could further enhance its adoption and integration into various business processes.
This summary was generated from the episode transcript and can contain mistakes.