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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.

294 videosNewest first

2:05

A short explanation of using Jev to speed up Hermes Agent decisions.

NeuralNine
2:59

An Italian demonstration of Jev 1.14 image input and practical visual decision tasks.

Simone Rizzo
13:13

IBM examines Jev decisions through a cybersecurity lens, including poisoned inputs, confidence and verification.

IBM Technology
13:46

A walkthrough builds an AI filmmaking crew with Jev and Opus, covering scripts, shot lists and continuity checks.

Mira AI
22:34

Build a durable Pi news agent that uses Jev to classify hype, facts and useful signals.

IndyDevDan
22:32

A banking-classification experiment compares accuracy, latency, cost, and confidence across four approaches.

Dr. Maryam Miradi
2:54

A creator tests Box answers on thumbnails and discusses where confidence does not track accuracy.

DIY Smart Code
8:33

A creator tests image localization on 32 thumbnails and examines bounding boxes, recropping, speed, and cost.

DIY Smart Code
43:42

A research overview discusses JevAgentHarness and training a small Qwen model to share control with language models.

Discover AI
7:43

A Korean walkthrough compares image and text tasks, Box localization, and a site SEO review across two decision APIs.

잔재미코딩(DaveLee)
7:28

A walkthrough discusses Jev as a decision layer for TanStack AI subagents and the Blog Desk example.

OrcDev
20:21

Japanese engineers and traders discuss Jev, potential trading applications, and how decision models differ from general chat models.

CXR AIトレードラボ
11:08

A Chinese walkthrough tests Box questions on natural and controlled images, compares repeated coordinates, and examines absent or ambiguous targets.

01Coder
55:35

A podcast discusses Jev-style decision models, benchmarks, open models and decentralized training on Bittensor SN92.

Hash Rate Podcast
15:59

Lucas Montano presents a Portuguese discussion of practical Jev use and faster application decisions.

Lucas Montano
11:10

A creator tests Jev on refunds, helmets, receipts and absent objects, showing why a presence question matters alongside image localization.

Hyperautomation Labs
28:58

A Portuguese walkthrough builds a form that classifies businesses, checks inconsistent answers and routes leads with Jev alongside generated visuals.

Maestros da IA
15:58

A Portuguese tutorial connects Jev to Hermes Agent and demonstrates classification, routing and repeated agent decisions.

Felipe Borges - Fala IA!
7:10

A Spanish explanation introduces System One models and shows Jev filtering business opportunities in the creator’s ConvoHunter application.

G Bascunana
10:37

An English walkthrough tests image-backed support-ticket judgments and bounding boxes on public bug reports and controlled synthetic cases, including confidence and review limits.

The AI Automators
6:40

An explanation of Jev’s typed decisions, agent use cases and the limits of claims that a model cannot hallucinate.

Alberta Tech
34:46

A Polish discussion compares Jev with other decision models and examines where typed judgments help, including their limits.

Better Dev Club
11:14

A Spanish explanation compares Jev with small local models and discusses probabilities, measurements and practical trade-offs.

Erik Taveras
10:41

A Chinese AI-news roundup includes a segment on Jev 1.14, image input and longer context alongside other product updates.

NiceKate AI
40:27

An English lesson introduces Jev and its role as a decision model. Performance claims are the presenter’s account, not verified results from this catalog.

Simplilearn
14:55

An English discussion contrasts text-generating models with typed decision models for software control.

AiNextDoor
2:51

An Italian commentary discusses disagreements about Jev and the significance of System One models.

Simone Rizzo
19:06

A Korean walkthrough demonstrates a customer-service practice tool that uses Jev to assess responses.

외부강사 김지백 (모두의 AI 교육)
6:33

A Spanish report discusses competing decision-model offerings from OpenAI and Microsoft alongside Jev.

midudev
15:54

A Persian tutorial introduces state, questions and criteria, with a prompt-injection example and discussion of confidence gates.

Maryam Sadeghi
34:03

A Japanese narrated reconstruction compares logged mahjong games played by GPT, Claude, Gemini and Jev.

AIたちのアフターファイブ
26:22

A Vietnamese walkthrough introduces Jev and demonstrates two data-processing use cases with Claude. Reported savings come from the creator’s own tests.

Weekend Build
28:55

A Spanish-language introduction explains Jev as a typed decision model and compares its role with text-generating AI.

Hashtag Capacitaciones | IA
12:50

A Chinese walkthrough tries Jev as an agent’s decision layer for a stock-analysis example. It presents a demo, not a validated trading strategy.

可乐AI实验室
18:01

A Chinese walkthrough covers model and skill selection, batch classification, and code verification with Jev in Claude Code.

Gary Chen
12:07

An English explanation covers Jev’s typed questions, probabilities, thresholds and practical limits, with linked sources.

AI Engineering News
9:42

A Mandarin tutorial pairs Jev decisions with Claude execution for list screening, trading and lead routing.

JayLuxAI | AI 系統導入
24:59

A Portuguese comparison tests Jev and GPT on customer messages, with discussion of speed, cost and uncertain answers.

Léo Andrade
35:53

A Turkish walkthrough presents 19 ways to combine Jev classification with Claude execution, including example prompts.

Mert Durmazer | Digital Academy
11:53

An Arabic comparison tests Jev and OpenAI Decisions on the same customer messages for a cafe assistant.

ePreneurs حسام الدين حسن
9:25

An Uzbek tutorial explains Jev and demonstrates a Telegram quiz extension, Claude Code integration and API setup.

Xondamir Xolmurodov
18:36

An Urdu introduction covers Jev state, typed questions, confidence and practical use through the TypeSafe Playground.

AI with Hassan
35:16

A walkthrough uses Jev to detect incidents in live logs and trigger a durable Pi agent to investigate and prepare a fix.

IndyDevDan
28:41

A Japanese narrated reconstruction compares a recorded mahjong game played by GPT, Claude, Gemini and Jev.

AIたちのアフターファイブ
26:50

A Vietnamese explanation introduces Jev and explores how goals, criteria and evidence shape structured decisions.

Mì AI
89:15

A French technology and business podcast includes a segment on Jev’s adoption and reported revenue, alongside other industry topics.

Mass Extract - Podcast
15:07

A Hebrew walkthrough connects OpenClaw to Jev with a small triage plugin, waking the larger model only when needed.

Code Cave - רני אלבג ויין
12:03

A Portuguese discussion of Jev’s architecture and the challenges of building competing decision models.

Cortes do Rafael Quintanilha
26:57

NeuralNine explains how Jev can speed up Hermes agents through typed decisions and hooks.

NeuralNine
29:27

A Chinese-framed lesson compares Jev, an ordinary language model and a distilled local model in Pac-Man, including the limits of task-specific training.

课代表立正
2:51

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

Better Stack
15:38

An English tutorial demonstrates training a small Qwen-based decision model with Unsloth. It is a local Jev-style alternative, not TypeSafe’s hosted model.

Akshay 🚀
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)
15:47

An AI news roundup covering Jev, System One models and other recent AI releases.

Advancing Analytics
8:29

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

SCALER
79:18

An Indonesian developer session introducing Jev, structured decisions and a live demonstration.

Dicoding Indonesia
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
10:21

A comparison reports 505 graded decisions and demonstrates support routing and a phone assistant with Jev and OpenAI’s Decisions API.

Hyperautomation Labs
6:19

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

코딩애플
13:17

Cole Medin demonstrates Jev decisions for email handling, prompt-injection checks, news filtering and duplicate detection.

Cole Medin
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
2:55

An English overview compares OpenAI’s typed Decisions API with Jev and explains predicate, Choice and Score outputs. Reported performance figures come from the cited providers.

AcceleratedLogic Extra
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
18:43

An English walkthrough discusses common integration mistakes and ways to use Jev alongside Claude.

Chase AI
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
12:18

A benchmark walkthrough compares thirteen decision models on quality, response time, question types and local hardware requirements.

The AI Automators
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
23:38

An Italian practical tutorial tries Jev classification tasks in TypeScript and compares them with a language model.

Giuseppe Funicello
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
24:50

A Spanish presentation discusses practical uses for Jev as a typed decision model.

Josema Fernández | IA
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
22:29

A Persian tutorial explains Jev and how decision models fit into agent and automation workflows.

Mahdiinjas | مافیای درآمد دیجیتال
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
16:51

An English tutorial introduces typed Jev decisions through Python examples.

Dave Ebbelaar
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
16:44

A Chinese walkthrough introduces System One models and demonstrates browser-automation use cases.

阿石OMP
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
17:44

A Korean analysis examines Jev’s interface, calibration, benchmarks, alternatives and practical limits.

김플립 - LLM 코딩
42:05

A Portuguese explanation covers structured decisions, Choice, Score and Noul questions, with practical comparisons to language models.

Rafael Quintanilha – QuantBrasil
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
9:30

David Ondrej presents a substantial English explanation of Jev and how decision models differ from generative assistants.

DavidOndrej1
32:12

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

David Ondrej
16:31

A Portuguese explanation introduces Jev, System One models and the distinction between decisions and generated text.

Gabriel Adamuchi - IA Fácil
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
10:49

An English walkthrough introduces Jev and surveys applications including post scoring, ad research, browser extensions and game control.

Lukas Margerie
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
13:21

A Chinese introduction discusses Jev’s decision interface, training approach and relationship to conventional language models.

最佳拍档
24:19

A Japanese overview introduces Jev and surveys practical applications for typed decisions.

KEITO【AI&WEB ch】
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
13:14

An English talk explores typed Jev judgments in sales and go-to-market engineering workflows.

Mitchell Keller
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
8:10

An English overview discusses typed Jev outputs, decision-model workflows, and the limits of reported performance claims.

RepoChad