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Jev videos

Jev AI Videos: Demos, Tutorials & Use Cases

Manually reviewed announcements, tutorials, reports, reviews, demonstrations, and other videos about the Jev model. Newest videos appear first.

222 videosNewest first

2:51

A discussion of independent Jev benchmark results and the limits of decision models.

Better Stack
16:31

A Portuguese review of Jev for coding workflows, including useful applications and model limitations.

mano deyvin
15:09

A Portuguese discussion of typed decisions, Jev use cases and an open alternative.

Tecnologia e Classe (TeClas)
8:29

An explanation of Jev with examples of email sorting, SQL classification, browser control and agents.

SCALER
41:48

A Spanish session demonstrating email classification with Jev and discussing speed, cost and use cases.

Growit School
24:50

A Korean-language discussion distinguishes Jev decision models from LLMs and Dots agents.

알상무
42:59

A MotherDuck workshop showing five SQL text-classification use cases with Jev on real datasets.

MotherDuck
27:36

A Portuguese-language comparison tests Jev and Clef on the same recommendation queries in a working application.

Rafael Quintanilha – QuantBrasil
22:05

A practical comparison tests Jev on customer messages and shell commands alongside small and frontier language models.

Tech With Tim
94:21

John Lindquist demonstrates typed decisions for speech, documents and live data, then discusses failure cases and question design.

MEGA DEV
13:04

A Spanish-language introduction explains System One models and how to use fast typed decisions.

CodelyTV - Redescubre la programación
19:37

A technical overview compares the OpenAI Decisions API with Jev’s approach to structured decisions.

NeuralNine
13:52

An Italian-language walkthrough applies Jev to message routing and lead classification, with discussion of its limits.

GabrySolution
12:03

A walkthrough builds a browser agent that combines Jev decisions with Claude reasoning and discusses where it fails.

Simon Scrapes
2:15

A Korean-language overview compares Jev and the OpenAI Decisions API for structured decisions and inference cost.

ZeroCho TV
6:19

A Korean-language introduction tests Jev, explains its decision-focused design, and discusses its limitations.

코딩애플
2:28

An Italian-language comparison discusses benchmark tests across Jev, Laya, Rizzo Flow, and another language model.

Simone Rizzo
24:39

A Portuguese-language explanation introduces OpenAI’s Decisions API and compares its approach with Jev.

Matheus Battisti - Hora de Codar
46:57

A Vietnamese-language guide explains Jev’s typed questions, confidence, suitable uses, limitations, and practical examples.

Việt Nguyễn AI
12:03

A walkthrough builds a support inbox sorter, prompt checker, podcast clip finder, and job matcher with Jev and Claude Code.

Parker Prompts
12:09

A Tamil-language tutorial explores Jev with retrieval-augmented workflows, from connecting data to using retrieved evidence.

AI with Thiru
9:38

A hands-on comparison of OpenAI’s Decisions API and Jev, using image inspection, outage investigation, and report checks to compare capabilities, response time, and cost.

Mark Kashef
35:44

A Portuguese walkthrough connects Jev to a Claude Code dashboard, then uses store data to assess likely causes, risks, and possible actions.

Antonio Bennati | Dados & IA
89:40

Diogo Almeida discusses calibrated decisions, RLCD and how Jev can fit into software and agent architectures.

The TWIML AI Podcast with Sam Charrington
2:32

A Korean overview explains Jev’s decision outputs and discusses how lower inference costs could expand the use of AI inside software.

3CURAS HOUSE
81:05

A Georgian-language podcast discusses Jev as a fast classifier and its practical uses, then explores coding agents and verification.

Four Loop Pod
23:37

A Spanish review questions the rush to adopt System One models and explains why the creator chose not to integrate Jev into gentle-ai.

Gentleman Programming
16:48

A Portuguese tutorial demonstrates adding Jev to Claude Code modes and shares the prompts used for the integration.

Matheus Battisti - Hora de Codar
7:25

A developer-focused introduction to Jev, its typed decisions, and practical ideas for using it inside applications.

Code to the Moon
16:57

An Indonesian tutorial demonstrates Jev in customer support and online shopping, including an OpenRouter integration and application deployment.

Raf Dev
20:43

A Chinese comparison tests Claude Code with and without Jev on feedback, document classification, and billing checks. It discusses matching results and the corrections needed.

回到Axton
97:00

A Japanese podcast discusses Jev’s role in software alongside coding agents and other AI tools. Its Jev segment starts at 1:20:43.

Rebuild Podcast
42:29

A Korean overview places Jev beside Clef and Laya, then demonstrates the open models on email classification, flight screens, and electric-car data. The creator explicitly says Jev itself was not run.

Drive Tech Odyssey
21:52

A Portuguese tutorial explains typed decisions and OpenRouter setup, then compares Jev with Claude Haiku on 100 channel comments. Speed and cost results are the creator’s reported experiment.

Enzo Barbatto
14:48

The AI Automators compare next-tool decisions on 1,000 support conversations and discuss richer state, fine-tuning, confidence, and calibration. Reported results depend on the creator’s task and test split.

The AI Automators
36:14

A French discussion explores decision models, agent oversight, industrial automation, and fatigue from approving agent actions. The episode presents the speakers’ views.

Silicon Carne 🌶️
26:09

IndyDevDan discusses model usage and an explicit Jev System One segment, including his reported experience adding Jev to a Pi agent. Market and savings claims are the creator’s commentary.

IndyDevDan
7:59

Better Stack compare Jev and Clef on 200 channel comments with an LLM referee, then test Clef on thumbnails. The reported accuracy, price, and speed results are specific to this creator experiment.

Better Stack
35:30

Maestros da IA walks through a Jev Voice experiment, including transcription, model routing, batched typed questions, voice-triggered tasks, and live concept and fact checks. The original title and description are Portuguese, while the API…

Maestros da IA
13:08

CoderOne reviews Clef as an open decision-model alternative to Jev, discusses benchmarks, and demonstrates its local webcam and playground workflows.

CoderOne
2:48

Simone Rizzo explains a contrasting decision-model approach and compares it with Jev. The creator presents its speed claim; this listing does not independently verify that benchmark.

Simone Rizzo
108:59

A long-form tutorial introduces Jev-style decision models and builds an independent model, decision head and training dataset.

Neural Breakdown with AVB
2:22

A Korean-language report compares Jev with the open-source Laya decision model and reviews its licensing.

Solostack
14:06

A tutorial surveys 19 workflows that combine Jev decisions with Claude generation.

Jay E | RoboNuggets
7:10

A German-language demo uses Jev to classify 23 synthetic real-estate inbox messages, then examines corrections and failure cases.

Mike Mildenberger
19:31

A practical explanation of Jev state and typed questions, with a decision lab comparing models and discussing calibration and application limits.

ByteMonk
7:08

A Portuguese lesson on System One decisions, including WhatsApp routing, form completion, data migration and judging generated writing.

Pedro Nauck
36:26

A Portuguese walkthrough of Jev model and effort routing for Claude Code, comparing a proxy approach with a native plugin and demonstrating the workflow.

Maestros da IA
6:45

A Portuguese introduction to Jev typed decisions with demonstrations of using the model through OpenRouter and the Overclock coding workflow.

Laschuk
19:28

A walkthrough of fourteen knowledge-work applications for Jev, including inbox triage, document classification, lead scoring and evaluation with Notion workflows.

Matthias Frank
23:40

A Portuguese introduction covers the playground, response types, BANT lead scoring and community projects.

Deborah Folloni
22:04

A Portuguese comparison explores Laya as an open-source alternative to Jev for decision tasks.

Attekita Dev
16:33

A Chinese-language DevDay commentary compares decision-oriented AI products with Jev and Grok.

wow
11:59

A Portuguese overview compares Jev decision models with text-generating models in software architecture.

Código Fonte TV
12:37

A Mandarin introduction explains Jev’s decision-only behavior and contrasts it with conversational assistants.

Kelly Tsai
15:03

Martin Keen explains System One decisions, probabilities, calibration, guardrails and how Jev complements language models.

IBM Technology
12:42

A Korean comparison discusses Laya as an open-source alternative to Jev.

코드팩토리
37:37

A Japanese walkthrough discusses Jev design and adding the decision model to an agent.

TECH WORLD
17:39

The creator presents four concrete Jev coding workflows. Reported performance and product claims are not independently reproduced.

Cole Medin
2:58

The creator presents Arabic-language Jev decision-model explanation. Reported performance and product claims are not independently reproduced.

Youness Kasmi
5:13

The creator presents n8n workflow routing with typed Jev questions. Reported performance and product claims are not independently reproduced.

n8n
22:02

An end-to-end explanation of Jev, Choice, Score and Noul, with model routing and confidence-gated workflows.

Aishwarya Srinivasan
25:25

The creator presents three Jev integrations for Claude Code. Reported performance and product claims are not independently reproduced.

Matheus Battisti - Hora de Codar
9:00

The creator presents Jev usage walkthrough. Reported performance and product claims are not independently reproduced.

Underfitted
46:07

The creator presents eight practical Jev use cases in a developer interview. Reported performance and product claims are not independently reproduced.

How I AI
23:14

An Arabic explanation compares Jev decision calls with generative LLM work.

Yehia Tech يحيى تك
21:02

A support-ticket lab shows a Jev request, its typed response and integration with an LLM.

KodeKloud
12:16

A walkthrough combines Claude with Jev in an agent workspace; savings are creator claims.

Jack Roberts
20:25

A technical walkthrough adds Jev decision calls to an agent harness.

Sam Witteveen
2:40

A short explanation of what is new about Jev and how it compares with classifiers and large language models.

Data Science Explained
47:08

A Portuguese walkthrough presents Jev app ideas, example code and a business-building workflow.

Maestros da IA
2:03

An explanation of the encoder architecture behind Jev and how its decision workload differs from autoregressive text generation.

Gaurav Sen
12:37

An overview explores Jev use cases for agents and code-based automation.

AI LABS
42:24

An interview with TypeSafe founder Diogo Almeida about probabilistic software, reliable decisions and embedding intelligence inside applications.

a16z
35:18

Ten practical patterns progress from typed if statements to routing, confidence gates, file reads and agent integration.

IndyDevDan
26:25

An interview and demo session explores using Jev for practical classification and agent decisions.

How I AI
14:18

A developer walkthrough explains typed Jev decisions with application examples.

Owain Lewis
2:27

A Japanese-language discussion of Perplexity, Aqua Voice and Jev in everyday work.

ERP * AI 最前線 - ㈱BTC -
2:02

An English-language explanation of Jev’s role as a typed decision model.

AI News & Strategy Daily | Nate B Jones
10:04

A substantial tutorial explains a Jev decision layer alongside Claude implementation work.

AI Edge
25:11

A practical explanation of Choice, Score and Noul through a voice-controlled canvas and a scripted World of Warcraft agent, including the demos’ limits.

John Kim
14:49

A creator tests ten Jev use cases and discusses which claims held up in the demonstrations.

Sharbel A.
10:27

A Korean-language walkthrough of Jev, its typed decision model and reported speed and cost claims.

Jay Choi | 인디해커 라이프
30:38

A long Japanese-language tutorial about Jev and decision-focused AI.

いまにゅのAIプログラミング塾
24:38

Andrew Warner surveys Jev uses such as email triage, model routing, support-ticket classification and agent-memory search.

The Next New Thing
16:44

A Malayalam-language explainer introduces Jev and discusses model routing, task prioritization, and ticket classification as possible uses.

Brototype Malayalam
30:13

A Korean-language tutorial shows Jev classifying customer inquiries before a person reviews which replies need a GPT-written draft.

시민개발자 구씨
22:03

An overview surveys six practical Jev use-case categories and the model’s limits.

The AI Daily Brief: Artificial Intelligence News
12:07

The creator presents commentary on Jev computer-use and community demos. Reported performance and product claims are not independently reproduced.

The PrimeTime
17:41

A demonstration of three AI trading bots whose decisions the creator says are made by Jev; trading claims are not independently verified.

Creator Magic
2:17

A Japanese-language explanation of how Jev returns decisions without writing prose.

Hacozy
14:20

A practical guide to Jev’s decision types and four design patterns, combining them in a customer-support workflow.

The AI Automators
18:19

A Chinese-language discussion of the TypeSafe founder’s arguments about RLHF and automation.

最佳拍档
18:17

A Japanese-language practical review of Jev, including data organization, coding decisions, and limitations.

クウキデザイン | Kuuki Design
22:16

A walkthrough shows the architecture of a Claude and Jev agent workspace.

Chase AI
10:38

A survey of eight Jev applications, including filtering, email priority, search, and creative choices.

Matthew Berman
16:06

An agentic RAG walkthrough using Jev for routing, reranking and citation checks, with Langfuse traces.

The AI Automators
8:16

A Spanish-language comparison of Jev with the open-source Laya alternative.

hdeleon.net
12:26

A Japanese-language test of Jev against a trained game agent, including failures on other tasks.

海外Yパパラジオ 世界を読み解く
20:57

An Italian-language overview of Jev and its intended decision-model use.

Raffaele Gaito
17:52

An introductory explanation of Jev as a System One model and how typed decisions differ from chat models.

Piyush Garg
2:39

이 영상에는 Jev에 관한 내용이 담겨 있습니다 :) #jev

필로소피 AI 교육
11:05

A setup walkthrough combining Jev, Claude, and computer-use examples.

Kev Builds Apps
33:28

A Spanish-language Jev tutorial with an email-classification example and use cases.

Benjamín Cordero
37:22

A detailed Jev tutorial covering typed questions, routing patterns, and a customer-support triage build.

Simon Scrapes
2:33

A short video about Jev: Top 3 utilizzi di Jev in Claude Code.

Dario Fontanel
21:51

An introduction to Jev decisions and calibration, followed by a Papers, Please-style approval-queue demonstration.

KodeKloud
4:13

A four-minute Portuguese-language explanation of the TypeSafe Jev decision model.

Max carrau | IA
27:11

A French-language news video discusses Jev’s probability-based decisions and possible software uses.

Eliott Meunier
13:07

A technical walkthrough compares TypeSafe Jev with local Laya and Kev decision models.

GitButler
18:30

A visual tour of a large collection of Jev demos and a head-to-head example.

Web Dev Cody
10:28

A beginner overview of the Jev model, its typed decisions and possible roles in agent workflows.

Last moment tuitions
17:29

A beginner tutorial walks through Jev setup and example typed-decision calls.

Mikey No Code
21:15

An Italian-language guide demonstrates Jev in a coding-agent workflow.

Dario Fontanel
17:06

A seventeen-minute coding explainer shows Jev’s typed decisions and how an application can call them.

codebasics
10:38

A practical overview discusses using Jev for bounded decisions alongside Claude’s generative work.

Ben AI
24:54

A German-language walkthrough of ten Jev use cases and where typed decisions fit into automation.

Julian Ivanov | KI-Automatisierung
10:18

A Portuguese-language explanation of five ways to place Jev decisions inside agent workflows.

Vini Lana
17:03

A Python tutorial installing Jev and testing a small typed-decision program.

Real Python
2:46

A short explanation of Jev as a choice and probability model for bounded software decisions.

KodeKloud
13:44

A walkthrough of running a Jev-style local decision model and the privacy tradeoff with cloud Jev.

Cloud Codes
14:04

A creator walkthrough of building with Jev and placing typed decisions in an app.

Jack Roberts
5:16

Two Minute Papers examines Jev's decision-model design and compares it with related models and research rather than relying on launch claims alone.

Two Minute Papers
7:10

A Chinese-language tutorial demonstrates Choice, Noul and Score, then wires Jev into Codex for Gmail screening.

杰森的效率工坊
2:50

An explainer discusses Jev’s non-generative decision interface and how it differs from a chatbot.

ZAUEY (Claire Zau)
10:07

A hands-on critique tests Jev for email sorting, comments, model routing and skill choice, then weighs where typed schemas help or constrain it.

Duncan Rogoff | Learn Claude Code
15:09

A Portuguese-language walkthrough places Jev between coding agents and their tool choices, with creator-reported benchmark limits.

Vini Lana
8:12

A report surveying Jev experiments and applications, including driving and interface demos.

Pursuing AI
15:46

The creator tests Jev 662 times on two Kaggle datasets and discusses surprising accuracy results.

01Coder
142:22

A long-form interview with TypeSafe's founder about System One models, calibrated decisions, RLCD and the limits of chat-first AI.

Latent Space
15:13

A French-language review tests email, fraud-message and proposal triage, compares Jev with LLMs, and explains a confidence cutoff.

Shubham SHARMA
29:28

A Spanish-language news discussion considers how a fast decision model could change automation workflows.

Inteligencia Artificial
5:27

A five-minute explainer on why Jev returns fast structured judgments instead of generating prose, with discussion of its speed, cost and reliability claims.

Fireship
17:16

A trading-bot demonstration where Jev makes bounded decisions; results and strategy claims remain the creator’s.

Lewis Jackson
18:42

A Hindi-language walkthrough explains Jev and demonstrates how to use TypeSafe AI’s decision model.

AI Learners India
9:15

LangChain explains Jev's typed questions and demonstrates model routing, tool-risk decisions and online evaluation in an agent harness.

LangChain
19:19

A coding walkthrough builds a router using Jev and an open decision-model alternative.

Sam Witteveen
33:02

A technical explanation of Jev classifier architecture, use cases, costs, and limitations.

AI News & Strategy Daily | Nate B Jones
21:12

A Jev analysis with a small local reproduction experiment and its limits.

Tonbi's AI Garage
17:14

A Jev introduction explaining how to use a decision-only model in application workflows.

Cole Medin
6:57

A comparison of Jev and Laya as decision models and the surrounding release discussion.

Adam Gardner
5:44

A creator demonstrates Jev and Treg across fraud screening, sales-signal triage and viral-content monitoring; reported savings are creator claims.

Jason Zhou
23:27

A longer explainer examines Jev’s decision-only interface and where it fits beside generative models.

Krish Naik
10:20

Jev es un nuevo modelo de IA desarrollado por la empresa TypeSafe AI, este modelo está diseñado para tomar decisiones probabilísticas brindando una respuesta estructurada, en lugar de generación de texto como los LLMs. En este video te mue…

hdeleon.net
14:19

Jev nedir? TypeSafe AI tarafından geliştirilen Jev neden bu kadar konuşuluyor? Bu videoda Jev AI modelini, GPT, Claude ve klasik LLM modellerinden farkını detaylı şekilde inceliyoruz. Jev, uzun uzun metin üreten klasik yapay zeka modelleri…

Ömer Göçmen | Yapay Zeka & Otomasyon
5:03

A comparison-oriented overview of an open-source Jev-compatible decision model.

DevsKingdom
26:57

Aprenda Inteligência Artificial! ▸ Aprenda Agentes iA: ▸ Seja MEMBRO: ▸ ▸ Instagram:

Inteligência Mil Grau
6:00

A tutorial presents a Jev-assisted video-editing workflow and discusses the creator’s approach to using decision models in editing.

Albert Olgaard
11:00

Explores how Jev can make AI agent decisions faster.

Leveling Up with Eric Siu
21:32

The open versions of Jev are here . In this video we go through 7 of the open Jev style models to see how good they are and what they can do. Thanks to Dell for Sponsoring the Compute #DellProPrecision #DellProMax #DellTech #NVIDIA JevBenc…

Sam Witteveen
17:42

A hands-on tutorial introduces Jev’s decision API and links example code.

Mayank Aggarwal
15:59

In this video, I’ll be showing you how developers are using Jev, TypeSafe AI’s fast decision model, for browser automation, coding agents, context compaction, model routing, skill selection, semantic SQL, agent supervision, and even gaming…

AISeeKing
7:25

A Korean-language analysis of Jev and its speed claims.

스마트대디_SmartDaddy
11:28

JEV from TypeSafe AI can fix the reranker in RAG 🔗 Helpful Resources & Links: Blogpost: Colab: If you found this breakdown helpful,

Prompt Engineering
3:52

A Chinese-language overview of Jev and its use in AI workflows.

杨竹筠
64:39

A one-hour course on building and automating with Jev.

Julian Goldie SEO
2:58

A Korean-language short introducing Jev as a fast decision model.

AI-ng
20:32

Jev, konuşan değil karar veren yeni bir yapay zeka modeli. TypeSafe AI'ın System One sınıfından ilk model. Metin üretmiyor, milisaniyeler içinde tipli kararlar döndürüyor. Bu Türkçe rehberde Jev'in ne olduğunu anlattım ve 3 canlı örnekle t…

Emrullah Yaprak | Yapay Zeka & Otomasyon
24:07

A Spanish-language introduction to what Jev is and how to use it.

Alaimo Labs
117:01

JoCoding discusses Jev as part of a longer roundup of AI developments.

조코딩 JoCoding
18:37

Meydeey examines Jev through automation experiments and discusses when to use a decision model.

Meydeey | Automatisation IA
14:13

AICodeKing presents a coding setup that combines planning, decision making and worker models.

AICodeKing
9:09

Examines whether Jev can reduce hallucinations in AI workflows.

The AI Layers
2:58

A Japanese-language look at a development loop combining Codex and Jev.

才能ゼロからのクリエイター戦略
19:34

AI随风 explains Jev’s output types and demonstrates resume screening.

AI随风
25:50

A French-language introduction to Jev in a broader discussion of ecommerce and AI agents.

Jérémy DE CAMPOS
10:07

A walkthrough of Jev's typed decisions and a linked collection of 50 creator-built examples comparing Jev with an LLM.

Yash Thakker
11:36

An introduction to Jev's probabilistic outputs and how its decision role differs from text-generating LLMs.

Codedigipt
22:11

A short setup guide for connecting TypeSafe's decision model to a Claude Code workflow.

MG
8:03

dreadjordan discusses the claims around Jev and critiques the way early demonstrations are presented.

dreadjordan
23:18

Mike Codeur explores Jev’s primitives, tests intent routing, and discusses applications in his SaaS products.

Mike Codeur
10:43

A Chinese guide to atomic questions, confidence routing and Jev API primitives.

为什么叫QQ
14:41

A Czech-language overview of Jev and its decision-focused approach.

AI Revolution v češtině
26:10

Panda Making Money examines Laya’s claims and the caveats behind comparisons with Jev.

Panda Making Money
4:45

윤자동 explains the basics of Jev for viewers new to decision models.

윤자동
41:07

An AI news roundup includes a Jev segment covering TypeSafe’s decision model, alongside other model and tooling announcements.

AI Search
10:16

Julian Goldie walks through an open-source browser agent that combines speech, Jev and Playwright.

Julian Goldie SEO
14:41

AI Revolution reports on Jev’s release, model design and early developer interest.

AI Revolution
32:12

David Ondrej explores how to use Jev as a decision component in applications.

David Ondrej
164:41

Jeremy Chone works with TypeSafe’s API and develops a Rust library in a live coding session.

Jeremy Chone
40:40

Carlos Alarcón explores the model’s decision types and tests practical classification scenarios.

Carlos Alarcón - AI
13:47

Heba Ahmed explains Jev in Arabic and demonstrates message classification and browser navigation.

Heba Ahmed - هبة احمد
16:08

Nate Herk tests classification and automation scenarios, including an X feed classifier and a paper-trading prototype.

Nate Herk | AI Automation
22:34

Melvynx examines demos, classification and real application experiments, including their limits.

Melvynx
14:28

Prompt Engineering benchmarks Jev against older classification approaches and discusses instruction following.

Prompt Engineering
4:51

코드깎는노인 discusses how Jev differs from familiar language-model workflows.

코드깎는노인
8:21

A hands-on introduction to the Jev model and experiments with its decision outputs.

Albert Olgaard
11:27

An introduction to Jev’s architecture and how its decision-focused design differs from conversational models when building AI applications.

Harkirat Singh
42:30

Simone Rizzo explores structured decisions, automation and research into Jev-like models.

Simone Rizzo
36:14

A shared technical talk about Jev and decision-focused models, featuring TypeSafe founder Diogo Almeida.

Codez
17:34

AI mit Arnie discusses Jev and its approach to fast decisions inside software.

AI mit Arnie
15:56

Avenox explains Jev in Turkish and tests classification, tool selection and its limitations.

Avenox
11:21

성공지식백과 introduces Jev and examines the claims around its decision-focused design.

성공지식백과
7:12

Caleb Writes Code introduces TypeSafe’s model and discusses probabilities, speed and potential value.

Caleb Writes Code
30:50

Fazt introduces typed decisions, probabilities and the situations where Jev may fit an agent workflow.

Fazt
16:30

Julian Goldie presents a range of Jev application ideas and workflows.

Julian Goldie SEO
9:31

Steve from critiques viral demos and discusses how to assess their claims.

Steve (Builder.io)
16:55

01Coder tests the decision primitives and demonstrates routing, triage and content checks in a playground.

01Coder
11:05

A long-form X video discusses Jev and its role as a fast typed-decision model.

Matthew Berman
28:25

A discussion of email triage, lead scoring, browser control and business uses for Jev.

Greg Isenberg
148:40

A long-form stream exploring Jev and the idea of models built for structured decisions.

The PrimeTime
17:33

A recorded talk by Jev founder Diogo Almeida covers the model's decision-oriented design, RLCD training approach, and the team's view of where it fits alongside generative assistants.

Diogo Almeida (shared by Codez)
20:18

Riley Brown covers model routing, decision types and possible uses inside software.

Riley Brown
12:31

Matthew Berman examines Jev and examples from its early developer community.

Matthew Berman
16:19

Sam Witteveen examines Jev’s structured decisions and compares its role with other model approaches.

Sam Witteveen
12:39

A developer discusses how Jev could change the way AI is used in applications, with a review of its decision-focused approach.

Web Dev Cody
7:10

Takafumi Horie discusses the model’s focus on decisions rather than text generation.

堀江貴文 ホリエモン
10:52

An English introduction to Jev’s typed responses, speed, cost, and limits compared with an LLM.

Gary Explains
17:51

usutaku explains Jev in Japanese and discusses early applications from developers.

#usutaku_channel
8:22

TheAIGRID introduces Jev and discusses the attention around its decision-focused approach.

TheAIGRID
16:28

A Chinese-language tour of Jev projects with a rabbit adventure and an alien-arrival decision demo.

NiceKate AI
17:07

Turing Post tests the Jev playground and a Codex workflow while explaining RLCD and asking where fast classification helps larger tasks.

Turing Post TV
22:41

Moritz Kremb explains Jev, walks through API setup, and demonstrates voice-browser, memory, and YouTube-prediction applications.

Moritz Kremb
22:41

Moritz introduces Jev and walks through how to use a decision model in applications.

Moritz | AI Systems
17:51

Syntax explores what Jev does and demonstrates possible uses for structured decisions.

Syntax
4:01

An explainer covers how Jev differs from generative models and where its typed decisions fit in real applications.

Vinny (@hot_town)
8:22

AICodeKing tries Jev in a browser-use workflow and discusses the experience.

AICodeKing
7:04

Jev is TypeSafe AI’s new System One model. Instead of generating text, it makes fast, structured decisions and returns probabilities that software can act on. We’re now testing Jev inside the agent. In this video, I cover: - The idea behin…

Retriever AI
8:00

An explanation of Jev and System One models, covering typed decisions, calibration, latency, cost, and the trade-offs of decision-focused AI.

Dots and Arrows
10:36

Rob Shocks demonstrates the playground and explains the decision types and potential developer uses.

Rob Shocks
3:30

TypeSafe AI has unveiled Jev, an AI model built to talk to software instead of people — returning typed, structured decisions instead of natural language, according to The Register. The startup, which raised $40 million and is led by forme…

Tech Brew Ride Home Podcast
10:25

AISeeKing explains decision primitives and separates structured outputs from guarantees of correctness.

AISeeKing