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What use cases are people building with Jev AI?

Explore Jev AI use cases and experiments through projects, X posts, and videos, including apps that call Jev in realtime or nearly. See how Jev works in real projects like Jev Ultrafast, Fast Jev Compaction, and Hermes Jev Skills.

296 projects · 276 X posts · 229 videos
Video · YouTube12:18

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

The AI AutomatorsAdded
Video · YouTube15:07

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

Code Cave - רני אלבג וייןAdded
Video · YouTube89:15

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

Mass Extract - PodcastAdded
Video · YouTube13:17

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

Cole MedinAdded
Video · YouTube29:27

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Added
Video · YouTube26:57

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

NeuralNineAdded
Video · YouTube10:21

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

Hyperautomation LabsAdded
Video · YouTube16:06

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

The AI AutomatorsAdded
Video · YouTube42:59

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

MotherDuckAdded
Video · YouTube41:48

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

Growit SchoolAdded
Video · YouTube8:29

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

SCALERAdded
Video · YouTube15:09

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

Tecnologia e Classe (TeClas)Added
Video · YouTube16:31

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

mano deyvinAdded
Video · YouTube2:51

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

Better StackAdded
Video · YouTube81:05

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

Four Loop PodAdded
Video · YouTube42:29

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 OdysseyAdded
X Post · Data & analysis

YC Startup Search

Searches thousands of YC startups with flexible natural-language queries.

Runs on demand
Added
Video · YouTube12:03

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

Simon ScrapesAdded
Video · YouTube22:05

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

Tech With TimAdded
Video · YouTube19:37

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

NeuralNineAdded
Video · YouTube24:50

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

알상무Added
Video · YouTube27:36

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

Rafael Quintanilha – QuantBrasilAdded
Video · YouTube13:52

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

GabrySolutionAdded
Video · YouTube13:04

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

CodelyTV - Redescubre la programaciónAdded
Video · YouTube89:40

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

The TWIML AI Podcast with Sam CharringtonAdded
Video · YouTube2:15

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

ZeroCho TVAdded
Video · YouTube94:21

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

MEGA DEVAdded
X Post · Experiments

JevCity

Jev selects traffic-light phases in a city-grid simulation.

Cadence not verified
Added
Video · YouTube12:09

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

AI with ThiruAdded
Video · YouTube12:03

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

Parker PromptsAdded
Video · YouTube46:57

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

Việt Nguyễn AIAdded
Video · YouTube24:39

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

Matheus Battisti - Hora de CodarAdded
Video · YouTube2:28

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

Simone RizzoAdded
Video · YouTube6:19

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

코딩애플Added
Video · YouTube11:27

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

Harkirat SinghAdded
Video · YouTube6:00

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

Albert OlgaardAdded
Video · YouTube14:20

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

The AI AutomatorsAdded
Video · YouTube8:00

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

Dots and ArrowsAdded
Video · YouTube41:07

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

AI SearchAdded
Video · YouTube12:39

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

Web Dev CodyAdded
Video · YouTube97:00

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 PodcastAdded
Video · YouTube20:43

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AxtonAdded
Video · YouTube16:57

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

Raf DevAdded
Video · YouTube16:48

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

Matheus Battisti - Hora de CodarAdded
Video · YouTube7:25

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

Code to the MoonAdded
Video · YouTube23:37

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 ProgrammingAdded
Video · YouTube2:32

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

3CURAS HOUSEAdded
Video · YouTube35:44

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 & IAAdded
Video · YouTube9:38

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 KashefAdded

Jev Fill

A browser extension uses Jev to map ambiguous form labels to saved personal-profile fields.

Runs on demand
Added
Jev Chat preview
Project · Agent tooling

Jev Chat

For each new message, Jev sees the latest message, recent conversation, available recent results, and any pending question or confirmation.

Runs on demand
Added
Project · Creative

Playwright Recast

The demo sends measured browser state, the goal, and recent action history to a typed Choice question for the next browser action.

Cadence not verified
Added
Video · YouTube7:10

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

Mike MildenbergerAdded
Video · YouTube7:59

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 StackAdded
Video · YouTube26:09

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.

IndyDevDanAdded
Video · YouTube36:14

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

Silicon Carne 🌶️Added
Video · YouTube14:48

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 AutomatorsAdded
Video · YouTube21:52

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 BarbattoAdded
QuantStudio preview
Project · Workflows

QuantStudio

A research and trading workbench with a Jev-powered futures monitoring and proposal-evaluation path connected to a simulated contest account.

Cadence not verified
Added
Project · Agent tooling

VexJoy Agent

An agent workspace that routes plain-English requests to specialist agents, skills, and workflows, including an optional Jev-powered route.

Runs on demand
Added
Tocket preview
Project · Agent tooling

Tocket

A command-line toolkit for agent handoffs, workspace context, and developer workflows, with optional Jev decisions for routing and checks.

Runs on demand
Added
Video · YouTube7:08

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

Pedro NauckAdded
Video · YouTube35:30

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 IAAdded
Video · YouTube2:48

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 RizzoAdded
Video · YouTube13:08

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

CoderOneAdded
jevsd-pg preview

jevsd-pg

A PostgreSQL extension and workspace provide natural-language SQL planning, semantic operators, reusable evidence, and reviewed query execution using Jev judgments.

Runs on demand
Added
Jev Chat Assistant preview
Project · Workflows

Jev Chat Assistant

An Android conversation assistant reads the visible chat, asks Jev for structured judgments, drafts reply candidates with a text model, then uses Jev to rank them for the person to review.

Runs on demand
Added
Project · Agent tooling

LLM Debugger

A VS Code debugging extension uses Jev to route each debugging step, with a language model available as a baseline or for other tasks.

Cadence not verified
Added
Jev Paper Map preview
X Post · Data & analysis

Jev Paper Map

A creator demo uses one 24-way Jev Choice per AI paper to build a searchable topic map, then separately evaluates the labels with Opus.

Runs on demand
Added
Project · Agent tooling

Astra

An agent runtime optionally uses Jev to select relevant memories and detect explicit dismissal of saved lessons.

Runs on demand
Added
Jev Bitcoin Trading Demo preview
X Post · Workflows

Jev Bitcoin Trading Demo

A Bitcoin trading demo that sends a compact technical-indicator snapshot to Jev for typed market judgments, then applies confidence and risk controls before reporting a position.

Cadence not verified
Added
Video · YouTube2:58

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

Youness KasmiAdded
Video · X10:04

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

AI EdgeAdded
Video · YouTube22:02

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

Aishwarya SrinivasanAdded
Video · YouTube14:06

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

Jay E | RoboNuggetsAdded
Video · YouTube2:22

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

SolostackAdded
Video · YouTube108:59

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

Neural Breakdown with AVBAdded
X Post0:40

A demo contrasts generated candidate decisions with the subset used, showing a speculative Jev decision workflow.

RickerAdded
X Post · Games

Jev Speed Card Game

A human plays Speed against a Jev opponent, with judgment confidence, latency and rule-validation panels.

Cadence not verified
Added
X Post · Creative

Jev Syntax Highlighter

The example pairs local tokenization with Jev-generated language and lint annotations in a small developer tool.

Runs on demand
Added
X Post · Data & analysis

Doomscroll Filter

It combines content review with engagement ratios to help a reader screen a short feed around a selected niche.

Cadence not verified
Added
X Post · Agent tooling

DiffJury

It puts Jev in a software review decision flow, turning a PR link into a merge-or-review recommendation.

Runs on demand
Added
X Post · Data & analysis

1kPapers

This is a concrete batch classification example: Jev selects among a fixed set of 24 research topics after another model compresses each paper into a summary.

Cadence not verified
Added
X Post · Agent tooling

Sales Copilot

It applies Jev to an in-the-moment sales workflow where the output is contextual guidance during a conversation, rather than a post-call summary.

Cadence not verified
Added
Jev Explained Playground preview
Project · Experiments

Jev Explained Playground

The examples make the boundary between classification and action concrete: Jev supplies typed probabilities, while ordinary application code applies thresholds, confidence checks, and human-review branches.

Runs on demand
Added
Detroit AI Player preview
Project · Games

Detroit AI Player

The adapter lets a typed classifier choose among a game's existing actions while enforcing that the answer is one of the offered options and has the highest reported probability.

Cadence not verified
Added
Anna Agent GIF preview
Project · Agent tooling

Anna Agent

The decision input is constrained to task-relevant candidate fields, candidate IDs are remapped before sending, and abstention is an explicit option when the evidence does not distinguish a suitable assignee.

Runs on demand
Added
BeamWeaver preview

BeamWeaver

The example shows both direct multi-type classification and Jev as a router classifier, with an explicit minimum-confidence setting before dispatching to a selected model.

Runs on demand
Added
Project · Agent tooling · Workflows

Jevmem

The same typed-decision model supports a complete project-memory loop: classify and filter completed turns, retrieve memories for the next prompt, and evaluate relevant safety rules before tool use.

Runs on demand
Added
Video · YouTube19:28

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

Matthias FrankAdded
Video · YouTube42:24

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

a16zAdded
Video · YouTube2:03

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

Gaurav SenAdded
Video · YouTube25:11

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 KimAdded
Video · YouTube6:45

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

LaschukAdded
Video · YouTube36:26

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 IAAdded
Video · YouTube19:31

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

ByteMonkAdded
Video · YouTube2:40

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

Data Science ExplainedAdded
X Post · Experiments

Jev Bot Survival Mode

A creator-posted trading experiment shows an autonomous multi-agent dashboard and market activity.

Cadence not verified
Added
Video · YouTube12:42

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

코드팩토리Added
Video · YouTube12:37

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

Kelly TsaiAdded
Video · YouTube16:33

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

wowAdded
Video · YouTube22:04

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

Attekita DevAdded
Video · YouTube11:59

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

Código Fonte TVAdded
Video · YouTube23:40

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

Deborah FolloniAdded
Video · YouTube35:18

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

IndyDevDanAdded
Video · YouTube37:37

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

TECH WORLDAdded
Video · YouTube15:03

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

IBM TechnologyAdded
X Post · Data & analysis

Magical Auto-tagging

An animated folder interface automatically displays tags for documents.

Cadence not verified
Added
X Post · Experiments

Local Audio Switchboard

An audio drop routes language detection, transcription, privacy and task extraction through local models.

Runs on demand
Added
X Post · Creative

Designer Emoji Search

A playful emoji interface responds to text queries while selected emoji rise from a pile.

Runs on demand
Added
X Post · Creative

Cute X Feed

A playful X feed renders posts in animated game consoles, robots and retro televisions.

Cadence not verified
Added
X Post · Agent tooling

Opus and Jev Decision Log

A coding workflow separates cached decisions, safe defaults and user questions from Opus implementation work.

Cadence not verified
Added
X Post · Experiments · Games

Jev and Opus Tetris API Race

Two models play the same Tetris piece sequence while a live dashboard compares outcomes and response times.

Cadence not verified
Added
Video · YouTube5:13

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

n8nAdded
Video · YouTube12:07

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

The PrimeTimeAdded
Video · YouTube9:00

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

UnderfittedAdded
Video · YouTube46:07

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

How I AIAdded
Video · YouTube17:39

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

Cole MedinAdded
Video · YouTube25:25

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

Matheus Battisti - Hora de CodarAdded
X Post · Agent tooling

Avid Jev Agent Harness

Jev chooses context, worker routing, tool recovery and focused checks from host-prepared options while Opus handles reasoning.

Cadence not verified
Added
X Post · Experiments

Receptionist Outcome Forecasting

Jev forecasts booking outcomes from structured receptionist-call traces and answers five post-call questions.

Runs on demand
Added
X Post · Workflows

Jev Newsroom

Jev classifies arriving headlines as bullish or bearish with confidence for a trading strategy built with Opus 5.5.

Runs on demand
Added
X Post · Creative

Scroll-driven Jev + Opus Redesign

Jev selects design parameters when a section enters view; Opus 5.5 writes the section and the app transitions to it.

Runs on demand
Added
Video · YouTube21:02

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

KodeKloudAdded
Video · YouTube22:16

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

Chase AIAdded
Video · YouTube23:14

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

Yehia Tech يحيى تكAdded
Video · YouTube22:03

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

The AI Daily Brief: Artificial Intelligence NewsAdded
Video · YouTube12:16

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

Jack RobertsAdded
Video · YouTube20:25

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

Sam WitteveenAdded
X Post · Experiments

Jev + Opus Research Agent

A creator demo pairs Opus-built option sets with repeated Jev decisions inside a research loop.

Cadence not verified
Added
X Post · Experiments

Jevolution

A hackathon ecosystem demo lets AI agents hunt, compete and survive to generate behavioral data.

Cadence not verified
Added
Video · YouTube26:25

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

How I AIAdded
Video · YouTube12:37

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

AI LABSAdded
Video · YouTube14:18

A developer walkthrough explains typed Jev decisions with application examples.

Owain LewisAdded
Video · YouTube47:08

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

Maestros da IAAdded
Video · YouTube13:07

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

GitButlerAdded
Video · YouTube10:27

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

Jay Choi | 인디해커 라이프Added
Video · YouTube14:49

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

Sharbel A.Added
Video · YouTube2:02

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

AI News & Strategy Daily | Nate B JonesAdded
Video · YouTube2:27

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

ERP * AI 最前線 - ㈱BTC -Added
Video · YouTube30:38

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Added
Video · YouTube8:16

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

hdeleon.netAdded
Video · YouTube30:13

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

시민개발자 구씨Added
Video · YouTube16:44

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

Brototype MalayalamAdded
Video · YouTube21:51

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

KodeKloudAdded
Video · YouTube10:28

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

Last moment tuitionsAdded
Video · YouTube24:38

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

The Next New ThingAdded
Video · YouTube18:30

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

Web Dev CodyAdded
Video · YouTube2:46

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

KodeKloudAdded
Video · YouTube17:41

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

Creator MagicAdded
Video · YouTube37:22

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

Simon ScrapesAdded
Video · YouTube18:17

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

クウキデザイン | Kuuki DesignAdded
Video · YouTube2:17

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

HacozyAdded
Video · YouTube18:19

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

最佳拍档Added
Video · YouTube10:38

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

Matthew BermanAdded
Video · YouTube33:02

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

AI News & Strategy Daily | Nate B JonesAdded
Video · YouTube13:44

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

Cloud CodesAdded
Video · YouTube17:52

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

Piyush GargAdded
Video · YouTube17:16

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

Lewis JacksonAdded
Video · YouTube12:26

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Added
Video · YouTube33:28

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

Benjamín CorderoAdded
Video · YouTube14:04

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

Jack RobertsAdded
Video · YouTube8:12

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

Pursuing AIAdded
Video · YouTube6:57

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

Adam GardnerAdded
Video · YouTube20:57

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

Raffaele GaitoAdded
Video · YouTube17:14

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

Cole MedinAdded
Video · YouTube21:12

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

Tonbi's AI GarageAdded
Video · YouTube17:03

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

Real PythonAdded
Video · YouTube11:05

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

Kev Builds AppsAdded
Video · YouTube4:13

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

Max carrau | IAAdded
Video · X4:01

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

Vinny (@hot_town)Added
Video · X11:05

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

Matthew BermanAdded
Video · YouTube18:42

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

AI Learners IndiaAdded
Video · YouTube23:27

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

Krish NaikAdded
Video · YouTube29:28

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

Inteligencia ArtificialAdded
Video · YouTube10:38

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

Ben AIAdded
Video · YouTube17:29

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

Mikey No CodeAdded
Video · YouTube2:39

이 영상에는 Jev에 관한 내용이 담겨 있습니다 :) #jev

필로소피 AI 교육Added
Video · YouTube2:33

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

Dario FontanelAdded
Video · YouTube19:19

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

Sam WitteveenAdded
Video · YouTube17:06

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

codebasicsAdded
Video · YouTube17:42

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

Mayank AggarwalAdded
Video · YouTube2:50

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

ZAUEY (Claire Zau)Added
Video · YouTube21:15

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

Dario FontanelAdded
Video · YouTube27:11

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

Eliott MeunierAdded
X Post · Games

Jev Codenames

A playable Codenames experiment puts Jev in the game; the public post does not show the call.

Runs on demand
Added
X Post · Games · Experiments

Jev Doom Multiverse

A Doom agent tries parallel futures from one checkpoint, compares outcomes, and continues from the best branch.

Cadence not verified
Added
X Post · Experiments

JevForm

A form changes its next question dynamically instead of relying on a large fixed if/then tree.

Runs on demand
Added
X Post · Games · Experiments

Jev Catan Bots

Several Jev-controlled players attempt to play and negotiate in a forked Catan game.

Cadence not verified
Added
X Post · Games

Whale City Jev Game

A story game keeps a city on a whale alive through Jev-selected actions and generated video scenes.

Cadence not verified
Added
X Post · Experiments

MOSS Jev Rover

A rover simulation changes litter-picking targets when its instruction changes from cans to bottles.

Cadence not verified
Added
X Post · Agent tooling

Jev Prompt Difficulty

A prompt composer classifies task difficulty when the user finishes typing and offers a faster mode for simple requests.

Runs on demand
Added
X Post · Creative

Mutuals Jev Character

A 3D character reacts during conversation with live choices for its face, gaze, and body.

Runs on demand
Added
Video · YouTube24:54

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

Julian Ivanov | KI-AutomatisierungAdded
Video · YouTube16:28

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

NiceKate AIAdded
Video · YouTube15:46

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

01CoderAdded
Video · YouTube10:18

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

Vini LanaAdded
Video · YouTube10:52

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

Gary ExplainsAdded
Video · YouTube5:03

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

DevsKingdomAdded
Video · X5:44

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

Jason ZhouAdded
Video · YouTube5:27

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

FireshipAdded
Video · YouTube10:07

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 CodeAdded
Video · YouTube15:13

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

Shubham SHARMAAdded
Video · YouTube7:10

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

杰森的效率工坊Added
Video · YouTube9:15

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

LangChainAdded
Video · YouTube142:22

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

Latent SpaceAdded
Video · YouTube5:16

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 PapersAdded
Video · YouTube15:09

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

Vini LanaAdded
Video · YouTube17:07

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

Turing Post TVAdded
JevHarness preview
Project · Games

JevHarness

LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution.

Cadence not verified
Added
X Post0:44

Zachi demonstrates a PostgreSQL extension that uses Jev to judge natural-language conditions across database rows without a vector index.

ZachiAdded
Video · X22:41

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

Moritz KrembAdded
Video · YouTube20:32

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 & OtomasyonAdded
Video · YouTube21:32

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 WitteveenAdded
Video · YouTube3:30

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 PodcastAdded
Video · YouTube7:04

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 AIAdded
Video · YouTube10:20

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.netAdded
Video · YouTube11:28

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

Prompt EngineeringAdded
Video · YouTube26:57

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

Inteligência Mil GrauAdded
Video · YouTube15:59

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…

AISeeKingAdded
Video · YouTube14:19

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 & OtomasyonAdded
Video · YouTube3:52

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

杨竹筠Added
Video · YouTube10:43

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

为什么叫QQAdded
Video · YouTube2:58

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Added
Video · YouTube14:41

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

AI Revolution v češtiněAdded
Video · YouTube11:00

Explores how Jev can make AI agent decisions faster.

Leveling Up with Eric SiuAdded
X Post1:59

A shared demonstration of a Jev-driven decision loop in a driving simulator.

SuSu_酥酥👅Added
X Post1:56

Chetaslua applies five yes/no questions to both candidates in a debate. The creator explicitly describes this as an experiment, not a fact-check.

ChetasluaAdded
Video · X36:14

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

CodezAdded
X Post1:02

An explanation of state inputs, questions and structured outputs, including yes/no, choice and score examples.

Ben DickenAdded
Video · YouTube15:56

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

AvenoxAdded
Video · YouTube42:30

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

Simone RizzoAdded
Video · YouTube10:36

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

Rob ShocksAdded
Video · YouTube12:31

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

Matthew BermanAdded
Video · YouTube28:25

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

Greg IsenbergAdded
Video · YouTube13:47

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

Heba Ahmed - هبة احمدAdded
Video · YouTube148:40

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

The PrimeTimeAdded
Video · YouTube14:28

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

Prompt EngineeringAdded
Video · YouTube19:34

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

AI随风Added
Video · YouTube8:03

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

dreadjordanAdded
Video · YouTube26:10

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

Panda Making MoneyAdded
Video · YouTube30:50

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

FaztAdded
Video · YouTube8:22

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

TheAIGRIDAdded
Video · YouTube22:34

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

MelvynxAdded
Video · YouTube10:25

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

AISeeKingAdded
Video · YouTube22:41

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

Moritz | AI SystemsAdded
Video · YouTube17:51

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

SyntaxAdded
Video · YouTube16:30

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

Julian Goldie SEOAdded
Video · YouTube4:45

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

윤자동Added
Video · YouTube8:22

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

AICodeKingAdded
Video · YouTube9:31

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

Steve (Builder.io)Added
Video · YouTube16:19

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

Sam WitteveenAdded
Video · YouTube8:21

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

Albert OlgaardAdded
Video · YouTube17:34

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

AI mit ArnieAdded
Video · YouTube32:12

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

David OndrejAdded
Video · YouTube11:21

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

성공지식백과Added
Video · YouTube4:51

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

코드깎는노인Added
Video · YouTube14:41

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

AI RevolutionAdded
Video · YouTube20:18

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

Riley BrownAdded
Video · YouTube7:10

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

堀江貴文 ホリエモンAdded
Video · YouTube164:41

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

Jeremy ChoneAdded
Video · YouTube10:16

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

Julian Goldie SEOAdded
Video · YouTube16:55

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

01CoderAdded
Video · YouTube40:40

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

Carlos Alarcón - AIAdded
Video · YouTube7:12

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

Caleb Writes CodeAdded
Video · YouTube17:51

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

#usutaku_channelAdded
Video · YouTube16:08

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

Nate Herk | AI AutomationAdded
Video · YouTube2:58

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

AI-ngAdded
Video · YouTube7:25

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

스마트대디_SmartDaddyAdded
Video · YouTube64:39

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

Julian Goldie SEOAdded
Video · YouTube24:07

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

Alaimo LabsAdded
Video · YouTube14:13

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

AICodeKingAdded
Video · YouTube18:37

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

Meydeey | Automatisation IAAdded
Video · YouTube117:01

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

조코딩 JoCodingAdded
X Post0:46

Matija Sosic gives a short explanation of the core idea behind Jev.

Matija SosicAdded
Video · YouTube25:50

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

Jérémy DE CAMPOSAdded
Video · YouTube22:11

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

MGAdded
Video · YouTube23:18

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

Mike CodeurAdded
Video · YouTube11:36

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

CodedigiptAdded
Video · YouTube10:07

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

Yash ThakkerAdded
Video · YouTube9:09

Examines whether Jev can reduce hallucinations in AI workflows.

The AI LayersAdded
X Post2:56

TypeSafe founder Diogo Almeida introduces Jev, a model designed to return structured decisions rather than generated prose, and outlines the ideas behind its launch.

Diogo AlmeidaAdded
Video · X17:33

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)Added
X Post0:49

Eugene Cheah introduces SimpleJev, an open-source library and API for adapting Hugging Face models to Jev-style structured decision tasks, including vision inputs.

Eugene CheahAdded
X Post · Data & analysis

Jev Semantic Find

A Chrome-extension demonstration uses Jev for intent-based find on a page.

Runs on demand
Added
jevgrep GIF preview
Project · Agent tooling

jevgrep

Jev-powered semantic code search for coding agents — find behavior across repositories via CLI or MCP, with exact source excerpts and line numbers.

Runs on demand
Added
X Post · Experiments

723 ads, 30 personas, 22 cents

jev KILLED the focus group. it scrolled 723 ads as 30 buyer personalities 21,690 stop or scroll decisions. 22 cents. (will be avail in @StealAds + mcp)

Runs on demand
Added
X Post · Agent tooling

A usage router for Grok Bot

Jev + GrokBot is the best AI agent system I’ve built in my life It just made my setup CHEAPER and FASTER than what 95% of people are running... setup takes literally 7 minutes: prompt → GrokBot → Jev decision → GrokBot execution → result s…

Runs on demand
Added
X Post · Experiments

Jevassembler

An experimental terminal demo asks Jev to choose the next CPU-style instruction for a task at runtime.

Cadence not verified
Added
OpenRouter’s Ori Eval preview
X Post · Experiments

OpenRouter’s Ori Eval

1/ Jev, a decision model by @typesafeai, sparked a burst of projects and discussion. We tested it using Ori Eval against popular LLMs on OpenRouter at judging. Jev was >5x faster than the next fastest model, and even its slowest request…

Runs on demand
Added
X Post · Creative

Drape Jev Try-on

A Drape experiment uses Jev decisions to drive a virtual outfit-selection interface.

Runs on demand
Added
X Post · Data & analysis

Seven more SEO and GEO workflows

Jev killed 7 more SEO/GEO workflows 👇 1/ Assess which competitor pages to copy -> It scores every competitor page on answer, depth, proof and freshness, then checks its rank in Google and ChatGPT to show which ones are worth copying 2/ Ide…

Runs on demand
Added
Project · Data & analysis

jevmail

Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.

Runs occasionally
Added
X Post · Data & analysis

Filtering WIP todos by meaning

Using Jev to filter through my @wip todos It allows me to super quickly find all the instances where I increased revenue, got stuck, switched to a different SaaS provider, etc Things a regular keyword search would never catch

Runs on demand
Added
X Post · Data & analysis

Natural-language search over Zillow

Jev can serve as better natural language search on websites. It can scan thousands of Zillow listings and classify properties by things you can't normally filter for - e.g. architecture, renovation status, proximity to freeways. This was d…

Runs on demand
Added
X Post · Creative

Jev for content marketing

today i'm releasing Jev for content marketing. still doomscrolling to figure out what to post on social media? that's over now... Jev watches EVERY video in your niche and judges it before it ever reaches you: 1. research: pulls every vide…

Runs on demand
Added
X Post · Agent tooling

Launching agents on a canvas

Jev brought us closer to JARVIS it instantly does things like launch agents on a canvas - without awkawardly waiting for slowGPT LLM loop @clonkapp is now the fastest agent orchestrator on the planet

Runs on demand
Added
X Post · Data & analysis

Which exam questions come back

JEV IS INSANE. I gave it 80 real exam questions and 297 practice ones. In 80 seconds, it told me which ones are most likely to appear on the real exam and which ones aren’t. All for $0.0256. Can't stop playing with @typesafeai 😁

Runs on demand
Added

Jev SEO and GEO Audit

A creator reports using Jev in a client-site audit workflow; claimed savings and output quality have not been independently reproduced.

Cadence not verified
Added
X Post · Experiments

Jev Accounting Prototype

A creator-posted accounting prototype connects the Jev API to a mock interface.

Cadence not verified
Added
X Post · Data & analysis

1,315 posts across eight dimensions

Jev classified 1,315 X posts for about $0.086 in estimated model cost 😂 seeing everyone's Jev demos made me want to build something for my own content research. i'd collected a lot of posts, but figuring out what they had in common still m…

Runs on demand
Added
X Post · Data & analysis

A shortlist from a competitor swipe file

JEV makes competitor research feel like a cheat code. Give it your competitors’ ads. Break them down by hook, angle, offer and format. Then turn recurring combinations into a shortlist for your next creative test. From an endless swipe fil…

Runs on demand
Added
X Post · Experiments

deepseek-v4.1-flash-jev

you can make any open source model behave like jev with just a bit of inference engineering. it's shockingly easy. to prove it, we built a new endpoint we're calling deepseek-v4.1-flash-jev. see the demo below. here's how it's done: sglang…

Runs on demand
Added
X Post · Experiments

Jev against Fable 5.1, 100 builders

Jev is INSANE. I asked 100 Indie Hackers to build a post scheduler with: Jev vs Fable 5.1. The results are unexpected 🤯 (You can clearly see Jev is faster at doing stuff)

Runs on demand
Added
X Post · Experiments

Jev Calculator

A real-time calculator demo sends changing interface state to Jev and displays the returned decisions as immediate results.

Cadence not verified
Added
X Post · Experiments

A dual-arm robot with Jev in the middle layer

型付き意思決定AIモデル「Jev」で双腕ロボを動かした結果まとめてみた🦾 3層制御のうち意思決定(2層)をJevに任せ、IKや物理計算はコード側に分離する構造を作りました。500msの応答と0.5円/試行で早くて激安。

Runs on demand
Added
X Post · Agent tooling

SEO and GEO fixes, 90% cheaper

Jev dropped the price of SEO/GEO fixes by 90% Agents that audit and fix a client's SEO/GEO used to cost us ~$250 Here's where the savings come from: 1/ 30x faster reads of Search Console and PostHog/Mixpanel data 2/ 30x faster checks of wh…

Runs on demand
Added
X Post · Data & analysis

talkr

today i built talkr, a speech analyzer using @typesafeai > talkr gives you a topic > you talk about it for 30s > jev analyzes your speech: pauses, filler words, repetitions, confidence, clarity > you get a score and feedback to…

Runs on demand
Added
X Post · Workflows

Lurk

everyone's making demos with Jev but nobody is making real products introducing find and monitor reddit threads to get cited by AI > FREE > 4000 reddit threads scanned > email, discord, slack only possible to give for free bc of J…

Runs on demand
Added
X Post · Creative

Both hands on a piano, in real time

@typesafeai's Jev controls the 2 hands and each finger to play the piano in real-time. Jev only "sees" what we see and plays this from the "note waterfall". It uses @browser_use's jev-ultrafast and some decision scheduling to make this hap…

Runs in realtime
Added

jev-browser in Cline

We built a plugin that gives Jev a browser in Cline, and have been blown away by the results. 1. Install it in our new desktop app: Customize > Marketplace > Plugins > search 'jev-browser' 2. Create a Vercel AI Gateway API key, then save i…

Runs on demand
Added
X Post · Experiments

Sorting 63,000 emails

WOW 🤯 i just used Jev + @agnt_gg to categorize 63,045 emails in less than 3 minutes for < $1 total runtime: 2 minutes 54 seconds input tokens: 23,430,692 output tokens: 4,528,206 total tokens: 27,958,898 estimated cost: $0.9841 this wou…

Runs on demand
Added

Hipershopping with Agentcard

breaking: Agentcard + Jev + Kernel = Hipershopping ⚡ asking an agent to go buy stuff for you online is usually: - expensive (bc of tokens going back and forth) - slow (bc of tokens going back and forth) - unsafe (bc there's no safe/complia…

Runs on demand
Added
Project · Agent tooling

Abide coding-agent rules

best coding agent use case for Jev: enforcing rules a linter can't coding agents tend to break rules and some rules can't be codified Jev can now score every turn against such rules and tell the agent what to fix asap open-source:

Runs on demand
Added
X Post · Agent tooling

AgentRun reusable workflows

Today I’m excited to show you our new harness called AgentRun, built with @pidotdev and @typesafeai's Jev. It’s built for an agent to learn how to do a job, code itself a general solution, and then get out of the way.

Runs on demand
Added
X Post · Creative

Pixel art with a sketch-and-refine loop

I gave Jev the ability to draw pixel art! It uses deepseek to plan a sketch with some primitives, then renders it, refines it, all based on pixel positions and colors. Long way to go but it's pretty neat.

Runs on demand
Added
X Post · Games · Experiments

Byte predicts rock-paper-scissors

Can Jev read a human? Play rock paper scissors against Byte. Every round he predicts your next throw before you make it, then plays against that read. His move is committed before you pick, so he can't change it after. Stakes settle over A…

Runs on demand
Added
X Post · Games · Experiments

Jev beats Super Mario Bros

Jev beat Super Mario Bros. Every moment, the simulator returns structured data of the game's current state, such as Mario's position, nearby enemies, and terrain, and simulates possible actions like jumping and running. Jev returns a proba…

Runs on demand
Added
X Post · Experiments

JSON Render with Jev

An experiment combines json-render with Jev for responsive generated interfaces.

Cadence not verified
Added
X Post · Experiments

An internal-link SEO audit

Jev is WILD for SEO audit 🤯 in 45.1 seconds it read all 586 pages on my site and rebuilt the internal link map. 584 links placed, 139 pages it refused to link because nothing honestly fit. total cost $0.21. Claude Opus 5, same 586 pages, s…

Runs on demand
Added
X Post · Experiments

MuJoCo robot-arm control

tested Jev as a real-time robotics policy in MuJoCo it struggled at first, so i split each update into two calls: decide what to do next, then decide how to move the arm and gripper Jev doesn’t accept images, it gets simplified geometry an…

Runs in realtime
Added
X Post · Experiments

A predictive app launcher

Also been playing with @typesafeai Jev. Insane. A pile of apps suddenly become possible. What a time to be a builder. Sharing experiments here. First one: Keystroke oracle / predictive launcher A normal launcher ranks by aliases, fuzzy mat…

Runs on demand
Added
X Post · Agent tooling

A draft quality gate

it's f*cking insane Jev sat between GPT and me, killing every draft that broke my rules before i saw it. good setup. then Jev did not answer. the agent decided silence was safer and stopped sending me anything at all. took a second agent t…

Runs on demand
Added
X Post · Experiments

Session replay to bug fixes

JEV is INSANE. We gave it 3 million replay events In 40 seconds, it watched 3,247 sessions, caught 132 rage clicks, 116 dead clicks and 95 JavaScript errors, and opened 213 draft PRs to fix them. All for just $2.17. JEV can also flag aband…

Runs on demand
Added
X Post · Experiments

Jev vs. GLM at chess

Jev vs GLM 5.3 at chess! Results: ◾ GLM 5.3 won by checkmate in 29 moves ◾ Jev: ~0.3s and <$0.0001 per move ◾ GLM 5.3: ~5.8s and ~$0.008 per move ◾ The whole game cost 24 cents My main takeaway is that it's often useful to use each one to…

Runs on demand
Added
X Post · Agent tooling

Coaching and writing checks

Alright playing with Jev through Vercel. 1. quick coaching support during a session rather than running through my gateway. 2. Anti-slop detector and fixer.

Runs on demand
Added
X Post · Experiments

A Jev query planner

I used Jev to build a query planner! With some tuning, I sped up Postgres queries on the join order benchmark by 12%. Here's what I did

Runs on demand
Added
X Post · Agent tooling

A prompt box that fills itself in

thanks to @typesafeai jev I no longer have fill out all of those fields on prompt boxes. It picks the agent / model / computer / folder for me. - For a major rewrite it uses Fable + Claude Code. - Changes to an ios app run on one of my macs

Runs on demand
Added
X Post · Workflows

Incident triage in Box

🆕@typesafeai dropped Jev this week, a new frontier model optimized for decisions. We put it to work on an incident triage workflow in Box. Jev doesn't generate text. You send it state plus typed questions and it returns booleans with proba…

Runs on demand
Added
X Post · Games · Experiments

Jev plays Balatro

Jev from @typesafeai plays @BalatroGame. Every hand it sees the cards, jokers, and blind, then picks play or discard in ~200–500ms. After the ante, it shops too. A full run costs less than a cent.

Runs on demand
Added
X Post · Agent tooling

A Slack agent, twice as fast

Jev made our Slack agent 2x faster ⚡️ Our agent can be quite slow because it needs to read skills and figure out which tools to call. We used @typesafeai's new model to speed this up by first passing it the prompt and classifying the best…

Runs on demand
Added

Voice intent to tool calls

Played around with @typesafeai Jev today, mostly to understand what it does for tool calling. Instead of an LLM deciding what to do, I substituted that part with Jev. My learning is that we will be able to make the agent act before the use…

Runs on demand
Added
X Post · Experiments

A plain-English logic interpreter

Jev can't reason. So I built an interpreter that reasons for it. It runs a logic language where the facts and rules are plain English.

Runs on demand
Added
X Post · Games

A Tetris placement picker

TypeSafe's Jev plays Tetris better than me!! We hooked it up to a Tetris game. Every piece, it looks at the board and all the spots the piece could land, and picks one in about half a second. A whole game cost us less than half a cent. The…

Runs on demand
Added
X Post · Data & analysis

YouWare résumé screener

JEV is Awsome!!! 😎 360 resumes Screened in 24.2s — $0.0212. Typed scores. Shortlist signals. Speed + cost your boss will quietly love. I Open-sourced the resume screener on YouWare. Reply “JEV” to try it. We’re bringing JEV to YouWare soon…

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X Post · Experiments

Supabase RLS linter

@typesafeai Jev is FREAKING SICK!! Playing around with it to create an experimental RLS Linter for @supabase. You can check it out here: or view the demo 📺

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X Post · Data & analysis

400 companies matched to one candidate

JEV is INSANE. We gave it 400 companies and one candidate profile. In 12 seconds, it predicted which jobs the candidate had the highest chance of getting, assigned a confidence score and detected job-candidate mismatches. All for just $0.0…

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X Post · Agent tooling

A page-by-page OCR router

Doc-OCR router using Jev @typesafeai A Jev-powered router that looks at a PDF page by page, decides which pages actually need OCR, extracts the rest locally. Result: save cost on # OCR pages + speed

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X Post · Data & analysis

Search a physical library

Jev lets me search my physical library by looking at the entire book index in parallel in 300ms. Here, the answer to “Who invented photography?” is probably on page 98 under "Niépce, Joseph Nicéphore"

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X Post · Games

Switch between manual and AI play

Had some fun taking Jev from @typesafeai for a spin, switching seamlessly between manual and AI-driven gameplay. It’s clocking 2–3 calls/sec at 60 FPS, with ~150ms avg latency. The most interesting part wasn’t the speed, though. It was dis…

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X Post · Experiments

Ego Lite shopping decisions

ego lite + Jev + DeepSeek Flash = stupid fast. ⚡ 3.71s for 20 Amazon product decisions. GPT-5.6 Sol: 54.45s Same task. Same result. 10/10 on both. Less reasoning. Faster decisions. 1× speed.

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X Post · Experiments

Jevals

I wanted an easier way to test my jev requests and see if my results are improving, so I built jevals! It's a local workbench for testng the Noul, Choice, and Score primitives. You can mix requests as well. You can run a seed command to se…

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X Post · Experiments

An always-on assistant with no wake word

Ai is evolving. Jev can be armed at all times. I can speak freely and it knows ( from probabilities ) if im asking my computer to do something or blaberring away at something else. no wake word. speed + affordability + intelligence is gett…

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X Post · Games · Experiments

Connect Four on Omarchy

We put Jev inside OmarchyLinux @dhh to play Connect Four. It reads the board, chooses a move, watches the opponent respond, then Hermes reviews the result and tries again. 6,499 model tokens. Cost: $0.00022113. This is what structured stat…

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X Post · Workflows

Jev on Sol

GM Jev V1 is live on Here's what's new: TRADE • Paste any Solana CA and get a live chart with Jev watching it with you • Jev re-reads the token every 5 seconds: the call, where price is in 15 minutes, buyers in control, dump risk, alive in…

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X Post · Agent tooling

Corent model routing

Corent’s brain uses @typesafeai Jev now. Not to generate the output, to make the decision before the output gets generated. When a request comes into Corent, you don’t need to tell us which model to use. You send the prompt, the workload a…

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X Post · Data & analysis

Jevinik

JEVINIK - Evaluating stocks insanely fast with @typesafeai's Jev It pulls market data, signals, risk & filings around any stock, then calls the next 30 days: 🐂 BULLISH 🐻 BEARISH No LLMs. No vibes. Just Jev & @ValyuOfficial rich financial d…

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X Post · Creative

Jev plays piano

Jev playing the piano. I gave it the key, all 88 notes to choose from and the sequence so far. Did chords in a second pass once we had the melody by giving it the bar's notes & 7 chords to choose from. Plays it safe & loves alternating bet…

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X Post · Creative

A real-time orchestra conductor

Jev is so cool! I just made Jev conduct a musical orchestra in REAL time My entire TL was filled with Jev demos so decided to give it a spin and needless to say, I was not dissapointed.

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X Post · Experiments

A 6502 emulator experiment

Yes yes, Jev can drive, Jev can be a programming language... but lets just skip the middle man ... Jev be the "computer" !!! Motorola 6502 emulation directly on Jev 🤣😅 @typesafeai @dotpem Took a bit "hill-climbing to figure out how to inst…

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X Post · Creative

Youform voice builder

Used Jev to build voice builder in Youform. It is so fast!

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X Post · Creative

A fancy-prose experiment

let Jev automatically transmogrify your simpleton English into unnecessarily fancy prose as you're writing it 😅

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Project · Games

Jev Arena

I've had access to Jev by @typesafeai for about 30 hours now and I can't stop thinking of the million places it can be used 🤯 Meanwhile, checkout this fun snake game I built where 2 Jev's compete with each other to take the trophy 🏆 Try it…

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X Post · Data & analysis

News matching for brands

Jev is INSANE. 🤯 in 24.9 seconds it read 384 news from this morning and told 15 brands which stories to hop onto today, for $0.19. Claude Opus 5, running on the same feed at the same time, got through 4/384 and cost $0.77. per headline tha…

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X Post · Experiments

A drone in an asteroid field

Jev flying a drone through an asteroid field. 300ms decisions. Left / right / slow / accelerate. You can watch the decisions happening live on the right. Green = Jev’s own confidence. Purple = “I’m not sure, ask the big model.” 99% of the…

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X Post · Data & analysis

1,891 ads in 19 seconds

ESTA HERRAMIENTA ACABA DE ROMPER TODO EL MERCADO DEL AD SPY Maxfusion ha cogido JEV, el modelo nuevo de TypeSafe, y le ha metido la ad library entera de una marca → 1.891 anuncios clasificados → 19 segundos → 0,12 $ Y no es un resumen: cad…

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X Post · Data & analysis

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…

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X Post · Experiments

Whose Jev Is It Anyway?

I'm laughing out loud. I turned Jev into an improv judge. Introducing: 'Whose Jev is it Anyway?'

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Voice commands for Autumn billing

🚨Do not record Jev demos while @ogme01 flies a drone over your desk 🚁 You can now dictate attaches, updates, schedules &amp; more in the @autumnpricing dashboard, no more manual edits Safe to say my tenzing tower didn't survive this one th…

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X Post · Data & analysis

Maxfusion Competitor Research

JEV makes competitor research feel like a cheat code We fed it Resilia’s ad library and it classified 1,891 ads in 19 seconds for $0.12 Customer journey stage, ad style, and a full account deep dive Coming soon to the maxfusion MCP

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X Post · Experiments

Danish stock-market backtest

Jev trading the danish stock market for all of 2025(239 trading days). Sentiment-based on market data, news articles, wikipedia &amp; google trends. 8.1 million tokens for $0.32 🤯

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X Post · Data & analysis

Maxfusion competitor-ad research

JEV is insane for competitor research! We gave it Resilia's ad library It classified 1,891 ads in 19 seconds for $0.12 costumer journey step + Ad style And a complete deep analysis of the account Coming soon to maxfusion MCP

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X Post · Agent tooling

Starchild prompt routing

Starchild just became the first professional-grade app to integrate Jev from @typesafeai We use Jev to help route to LLMs which gave a 20x decrease in cost and 6x increase in speed for prompt classification Here it is classifying prompts i…

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X Post · Games

Flappy Apex plays itself

That’s Jev playing Floppy Apex, passing the previous best score and not thinking of stopping anytime soon 🏆 It was wired up by Apex via Appduct, with some adjustments made in Fable. @AgentConf

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jev-job-hunter

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 or…

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X Post · Agent tooling

Just-in-time model selection in Goose

Experimentation with Jev from @typesafeai and our harness @goose_oss Use Jev to take a prompt and JIT select a model just before the turn runs. Jev and models like it will be useful in many areas and this is just early prototype code on a…

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X Post · Agent tooling

Measuring progress in agent traces

Got early access to @typesafeai Jev and spent a few hours building on it. The problem I keep hitting: agent traces tell you which tool ran, how long it took, what it returned but never whether the agent is actually getting anywhere. An age…

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Intelligent autofill buttons

I love that Jev can fit into basically any app. You don't need to build everything around a chat, you can just integrate intelligent features into the background, like these auto-fill buttons. Much better UX than with slow LLMs. Feels like…

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X Post · Workflows

Inline Manual contextual help

Adaptive real-time in-app support with Jev + It detects where you're struggling and quietly adds help directly into the UI - explanations, suggestions, even actions. Jev figures out if and where you're struggling, then triggers the right f…

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X Post · Data & analysis

Which outreach signals book demos

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…

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X Post · Data & analysis

Cascade Search typed query filters

A search bar that knows when it doesn't know. cascade-search is a 27K-parameter model that parses queries like "open bugs from sam since last week" into typed filters, in your browser, in 0.25 ms. When it isn't sure about a word, it asks J…

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X Post · Experiments

Instant team scheduling with Cal.com

Jev + API = find best overlap among team members in an instant the longest waiting time is our API call round trips 🤯 will come up with ideas how we can bake Jev into our products

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X Post · Experiments

Does Jev understand color?

does Jev understand colour? incredible model, very cheap and fast. definitely feels like a leap forward for creating new UX/UI paradigms on top of modern language models.

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RefGarden preview
Project · Creative

RefGarden

A spatial reference gallery whose local app uses Jev to choose search phrases and highlight image metadata. The hosted preview retrieves references without Jev; inference behavior has not been independently reproduced.

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X Post · Data & analysis

700 leads scored in 40 seconds

JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can a…

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X Post · Experiments

Jev Calc

i made a smart calculator notebook using jev it can calculate ANYTHING!! 😅

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X Post · Workflows

Orus trade-strategy review

As promised, Jev is now integrated into Orus agents. What is Jev, and how can it help our agents? Jev is a model from TypeSafe AI, built to answer precise questions with structured answers. In Orus, it reviews the trades your strategy prop…

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X Post · Experiments

A robot arm picks up a ball

I gave Jev a robot arm. Two USB cameras, an SO-101, and @typesafeai's Jev choosing the next move at ~2 decisions a second. After a slip and some debugging, it went back for the ball and got it into the bowl.

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Voice-controlled Figma

Controlling Figma with voice using Jev from @typesafeai Total cost from first line of code to recording this video: $0.01 🤯

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X Post · Creative

Painting the Golden Gate Bridge

i wanted to paint with Jev 🎨 watch this beautiful painting of the Golden Gate Bridge, powered by Codex(Astra) + Jev + @Stagehanddev + @browserbase (video at 1x speed)

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X Post · Agent tooling

Skill Router for Claude Code

Just hacked a fun little project - Skill Router (Open source) using Claude and Jev @typesafeai Why? I have ~ 90 Claude Code skills installed and use maybe five. The rest are fine, I just forgot they existed, and Claude won't reach for a sk…

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X Post · Experiments

MakerMods robot arm in MuJoCo

Got @typesafeai Jev driving our @makermodsai Metal arm in MuJoCo. Images are of the sim camera is not passed in, sim hands Jev the state of the environment in JSON and it picks the next bounded action (hover, descend, grasp, lift, place) a…

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X Post · Games · Experiments

Chrome Dino with live decision scores

@typesafeai jev playing chrome dino! the model is incredibly fast! - avg response time: ~280ms - spent 116M tokens - cost? just $4.65. - the input here is a snapshot of the chrome runner - jev decides whether to jump, run or duck with a co…

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Voice-controlled computer use on a Mac

I built a voice controlled computer-use for my mac using @typesafeai's Jev and it's INSANE how fast it is! I can dictate "open the notes app and create..." and the app opens before I even finish my sentence.

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X Post · Experiments

Quality checks for physical-AI action labels

Jev is insane. We are building egocentric training data for physical AI. Jev QA'd 58,643 action labels in under 3 minutes. 90 cents. A friction cost of the Claude &amp; GPT models.

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X Post · Experiments

Intent-aware search in Replicas

small experiment where I used jev to power the global search in replicas. the possibilities of improving UX with models like jev are endless. we can now have things like: - search that understands what users mean - actions that change base…

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Bannerbear instant field mapping

First Jev use case published live on Bannerbear! Instant field mapping between template and source, when names are slightly different eg template - photo - name - company_name data source (eg Airtable) - avatar - full_name - business Jev f…

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A second-hand shopping agent

Claude me integró Jev con Playwright para buscar usados. Lee unos 26 artículos por minuto y decide qué hacer con cada uno en 406 milisegundos Descartó los que no encajaban con lo que busco, ofertó por los que sí y hasta les mandó un mensaj…

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X Post · Experiments

Keystroke oracle

Also have been playing with @typesafeai Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ran…

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yoshi preview
Project · Agent tooling

yoshi

Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into

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X Post · Data & analysis

Post scoring with SuperX

Jev + SuperX = virality solved ✅ Every post gets 61 questions in ~1s for $0.0004 🤯 &gt; fitted on 9,481 real posts from 207 creators &gt; picks the viral post 2 in 3 times &gt; never rewards reply bait So: write, score, rewrite, stop when…

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X Post · Creative

A visual reference finder

I built a visual reference finder with Jev One single prompt → 100 images from Cosmos, NASA, and The Met my new rabbit hole for creative work 🌻

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One-click invoice finder

Jev is fun! One-click invoice finder for any website 🧾 - Automatically finds billing pages using @typesafeai's Jev - List/download all invoices with 1 click - Works with Stripe billing portals too - Remembers where invoices live for next t…

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X Post · Workflows

Real-time Clippy

I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀

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X Post · Experiments

Jev and ChatGPT Task Race

i made a @typesafeai jev+chatgpt instance race against a purely chatgpt instance on two super simple tasks to see the difference, 2-3x faster! :o on first-time tasks chatgpt will write a question set for jev on the fly, and then subsequent…

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X Post · Experiments

Jev plays Subway Surfers

jev is insane 🤯 Here is Jev playing subway surfers at super human speed, and also playing 50 games at once. cost less than a cent to do this run. Jev does not replace llms like astra or fable, but opens up an entirely new world of capabili…

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X Post · Data & analysis

Jev Detector

Announcing Jev Detector The world's fastest AI slop detector, built on jev from @typesafeai ~10,000 words scanned for slop in ~2 seconds Best part, its free, no sign up required, enjoy!

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X Post · Games · Experiments

Jev beats Brock in Pokémon FireRed

Jev just beat Brock in Pokémon FireRed in less than 5 minutes. That’s 5 minutes of actual real-world time. You can see the in-game time in the video. This is a completely different way of having an LLM play a game. Jev doesn’t see pixels o…

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X Post · Games

Jev Minecraft Agent

A gameplay prototype uses Jev to automate Minecraft for extended sessions at low token cost.

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X Post · Experiments

Jev Voice Turn Detection

A voice prototype uses Jev to decide whether a speaker has finished and how long to keep listening.

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X Post · Games · Experiments

Jev plays Slay the Spire 2

昨天出的 Jev 模型 适合高频决策,那岂不又是适合打游戏? 之前用 GPT-6 Astra 代打杀戮尖塔2 能力强但速度慢。 我刚实测用 Jev 打,行动思考只需 0.7秒, 画面我都没看清它就操作完了。 这超人类游戏速度, 着实又让我震惊瘫坐了😅 语言很难描述这感觉,看视频⬇️

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X Post · Experiments

Jev Memory Retrieval Experiment

A creator tests Jev in a memory workflow and reports lower token use and faster retrieval; the measurements remain creator-reported.

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X Post · Experiments

Jev $10K Trading Experiment

A creator-posted trading experiment shows Jev making decisions against a $10,000 account while a dashboard tracks the market, account and model output.

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X Post · Agent tooling

A chief of staff for bots

got @typesafeai's new model Jev as a chief of staff for bots Jev reads the task, wakes the right teammates off the bench and gives each one the right model It is possible on OpenMausBot as it supports all the LLMs from your existing subscr…

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Hard-coded rules moved to Jev preview
X Post · Agent tooling

Hard-coded rules moved to Jev

Now using @typesafeai Jev in etc AI ends up vibe coding so much AI regex slop if you don't read the code, so I can finally move all this hard-coding to Jev and it's insanely fast! Also for regular LLM calls, it is around 10x faster, 50% ch…

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X Post · Data & analysis

The X algorithm, rebuilt with Jev

rebuilt the X algorithm with Jev - uses real weights - simulates virality of your post - has a global feed (you see everyone) it's insanely accurate

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X Post · Experiments

Five hundred agents in a 3D environment

Jev is actually insane. We benchmarked it, and the results completely change the game for us: > 500 real-time agents > running in parallel > in a 3D environment The preliminary results are crazy: > 500ms average latency > 35 API calls/s >…

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X Post · Agent tooling

Jev Model Router

A router uses Jev to choose the model that best fits each incoming request.

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X Post · Experiments · Games

Jev plays Tetris

Puse a Jev, la nueva IA de @typesafeai, a jugar al Tetris en modo súper difícil. Decidió cada jugada en unos 0,3 segundos. Acomodó 357 piezas e hizo 134 líneas en solo 2 minutos. Increíble.

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Jev inside a security pipeline preview
X Post · Workflows

Jev inside a security pipeline

these are results of using jev on one of our security pipelines. we already have to use smaller (and dumber) models to make it economic and this model does it over 5x cheaper, faster and while maintaining much higher accuracy. i don't norm…

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Headless Chromium agent

Acabo de terminar la implementación de @typesafeai + Chromium Headless para que mis agentes puedan navegar por internet a una buena velocidad! En este ejemplo le pido al agente que entre a la página del término "Café" en Wikipedia y navegu…

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X Post · Experiments

500 emails for 3.5 cents

Yeah Jev by @typesafeai is very cool. It classified 500 emails in seconds. And it costed 3.5 cents.

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X Post · Experiments

Blitz chess against frontier models

Jev VS Fable 5.1 VS GPT-6 Astra: chess typesafe's new Jev V13 isn't an LLM. it doesn't chat, doesn't explain, doesn't write code — it only makes decisions. so we made it play blitz against frontier LLMs. the test: 5+0 blitz. every move is…

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X Post · Experiments · Creative

Jev Sunflower

I was wondering if @typesafeai Jev could generate images so here's what a sunflower looks like according to Jev :

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X Post · Experiments

Writing one character at a time

i made an llm from first principles with Jev 29 yes/no questions per character: should the next key be a–z, space, comma, or period? highest probability gets append to it, then fed the updated text back in &amp; repeat an autoregressive lo…

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