JEV is insanely fast. We gave it a massive dataset based on thousands of outreach messages and asked: Which intent signals generated the most booked demos? 40 seconds later, we had the answer. Cost: less than $0.20. JEV can also rank leads, measure prospect-message fit, and Show more
Core ConceptsTypeSafe
TypeSafe AI
The company behind Jev and the System One API, including the official SDKs, cookbooks, console, and published workflow evals.
- Category
- Core Concepts
- Also known as
- TypeSafe
- Related terms
- 5
- Directory entries
- 4
- Docs
- typesafe.ai
- Added
- 2026-09-24
Definition
TypeSafe AI builds decision models for machine-to-machine software. Its training path is RLCD — reinforcement learning for calibrated decisions — and its cofounder Diogo Almeida co-invented RLHF. Jev is its first public System One model.
The company raised a $40 million seed round led by DCVC, went out of stealth in September 2026, and runs the docs, console, Discord, and evals.typesafe.ai, where it publishes workflow evaluations of Jev against frontier LLMs.
Tagscompanycore
Related terms
Definitions that connect to this one.
JevTypeSafe AI's flagship model and the first System One model: typed decisions and calibrated probabilities instead of generated text.Core ConceptsSystem OneThe class of AI models built to make fast, structured decisions software can use directly, named after Kahneman's fast-thinking System 1.Core ConceptsRLCDTypeSafe's post-training method: reinforcement learning that optimizes for calibrated decisions and probabilities instead of generated text.Evaluation & TrainingWorkflow evalsTypeSafe's published evaluations of four automation workflows, comparing Jev and frontier LLMs as structured workflows versus single prompts.Evaluation & TrainingClient SDKThe official typed clients for the API — Python and JavaScript/TypeScript — with retries and inferred answer types.API & Models
From the directory
TypeSafe AI's product site for Jev, its first System One Model: typed decisions with calibrated confidence, performance and pricing claims, a FAQ, and links to the docs, console, workflow evals, and launch post.
Sites & GuidesDocs#official#docs#models
Official
Official LinkedIn page for TypeSafe AI with company details, launch announcements, and hiring posts, including the $40 million seed round led by DCVC.
Sites & GuidesPost#official#post#community
Official
Official TypeSafe community Discord for support and discussion, including a Show and Tell channel where builders share demos built with Jev.
Sites & GuidesDocs#official#community#demos
Official
TypeSafe AI's official launch post: the company is out of stealth and developers can get access to Jev from the website, alongside the founder's launch thread.
Sites & GuidesPost#official#x#launch
Official
From the community
Posts from builders shipping with Jev right now.
Which outreach signals book demos
Website to App turns any URL into a native app
Introducing Jev for 'Website to App' Turn any website into a native mobile app. Just paste a URL. jev-1.13.0 decides how to build the original website as a *native* mobile app, then shipper submits to the app stores for you. We’ve been using this internally a ton for Show more
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
The compaction plugin, in Spanish
Este tipo de herramientas empieza a hacer que el contexto de los agentes parezca menos una ventana limitada y más una memoria que se administra dinámicamente. [fast-jev-compaction] No resume, hace que Jev analice cada tool call y su resultado para decidir qué sigue siendo Show more
A computer assistant that listens
building a computer assistant with Jev local whisper listens to everything I say which then gets classified by Jev to determine what actions to take it uses a small Swift app to provide the full accessibility tree to Jev (i.e. tell its what's on my screen, what can be clicked, Show more
A job crawler that reads careers pages with Jev
I rebuilt my job crawler with Jev. The task: start at a company's official homepage, find Careers, and identify jobs that match my profile. Before, with an LLM: ~5 minutes. After, with Jev: just over 20 seconds in my test. Every company organizes its website differently. Jev Show more
700 live ads in 40 seconds
jev is an insanely cool product Saw a post about jev and decided to check it out This thing is straight up gold whoever built it is a genius jev is the future Scanned over 700 live ads in 40seconds flat, and it cost me just 4 cents. If you're in marketing, this kind of crazy Show more