On September 15, TypeSafe AI released Jev, a model built to make decisions instead of writing answers.
Its founder? Diogo Almeida, previously worked at OpenAI on research behind the methods that led to ChatGPT.
Give Jev a piece of text and a set of options, and it returns a probability for each one.
Is an email urgent? Which team should handle a support ticket? Does a lead fit your target customer? These decisions can take a fraction of a second and cost far less than asking a conventional LLM to write an answer.
That sounds narrow until you look at how companies use AI. Many calls only need a choice that software can act on. If those choices become cheap enough to make on every lead, ticket and agent action, startups can automate checks they previously had to skip.
📚 In this guide, you’ll have Jev answering real questions about your business, find where it could fit into your workflows and learn when it still needs a human check.
Inside you will find:
How Jev Makes a Decision Without Writing an Answer
See how Jev turns text into a choice your software can use.
How to Run Your First Decision in Five Minutes
Test it on an email, a sales lead, and a support ticket: no code needed.
Which Decisions in Your Startup Should Move to Jev
Audit your workflows and identify the first decisions worth testing.
How to Cut Your Coding Agent Bill by 10x
Shrink Claude Code sessions by 10x and route each task to the cheapest model.
How to Read 100,000 Customer Conversations for Under a Dollar
Find recurring problems, churn risks, and feature requests across all your customer conversations.
Where Jev Gets Decisions Wrong
Learn how to read its uncertainty and decide when a human should step in.
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