Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Introducing the Jev completions API and Jev Playground. Replace your outdated LLMs with the future of text generation. Also, Jev is now available in our AI gateway, have fun!

Alexandre Pesant

6,778 subscribers

62,515 views • 1 month ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

17 Comments

Alexandre Pesant1 month ago

Note: you should not use this. Using Jev for next character prediction makes no sense. Jev is however a great model for classification and scoring, and you should be using this everywhere :)

Jesper1 month ago

Great - it only took 3.8 secs. to figure out that the capital of France is Paris 😉

Younes Lesfer1 month ago

lmao, what are we supposed to do with this?

RAZA | AI EXPLORER1 month ago

Exciting launch. Jev looks promising for text generation.

Gabriel Eisbruch1 month ago

We took another playground direction: editable typed questions about deployments, with rules producing the verdict. Curious whether yours lets people inspect the candidate choices and probabilities behind each step.

Subham Kumar1 month ago

worthless

Coach Shweta Bajaj1 month ago

so cool !!

Hemant1 month ago

Yea its not usable

Ella Tech & Tool1 month ago

Love the upgrade. Playground looks clean.

Siddharth Jain1 month ago

I could see Eiffel tower right Outta my balcony today.

Alice The Ai Expert1 month ago

Jev completions API + Playground looks like the future love seeing this launch!

Dr. Senthazal Ravi1 month ago

Buggy.

Aaliya1 month ago

I really like having a simple place to test Jev.

Prajwal1 month ago

The comments are gonna filled with bots, congratulating on launch 😂

Nikita 🤙1 month ago

This is the worst idea. This is not what models like Jev should be doing

Per0x1d31 month ago

loved how fast it is!!

Martin Slaney1 month ago

Nice addition but I think you missed the whole point. Jev doesn’t generate text. It’s a decision model, not a traditional LLM.

Related Videos

Introducing Jev Skill Suggestion for Claude Code Now you can keep your skills completely out of the context window until they’re actually needed Set your skills as user invocable only, and the Mod sends the available skill list to Jev For every request, Jev classifies which skill best matches the task, then injects only that skill into Claude’s context Works with both the TypeSafe AI API and Vercel AI Gateway Install it with one command: npx claude-code-templates@latest --mod productivity/jev-skill-suggestion Full implementation details on the Mod page at

Introducing Jev Skill Suggestion for Claude Code Now you can keep your skills completely out of the context window until they’re actually needed Set your skills as user invocable only, and the Mod sends the available skill list to Jev For every request, Jev classifies which skill best matches the task, then injects only that skill into Claude’s context Works with both the TypeSafe AI API and Vercel AI Gateway Install it with one command: npx claude-code-templates@latest --mod productivity/jev-skill-suggestion Full implementation details on the Mod page at

Daniel San

81,680 views • 1 month ago

Introducing Jev Model Router for Claude Code This Claude Code Mod lets you use Jev through its direct TypeSafe AI API or Vercel AI Gateway With every request you send to Claude Code, Jev classifies the subagent model, main model (only at session start to avoid breaking the cache), and effort level Install it with one command: npx claude-code-templates@latest --mod productivity/jev-model-router Full Mod details:

Introducing Jev Model Router for Claude Code This Claude Code Mod lets you use Jev through its direct TypeSafe AI API or Vercel AI Gateway With every request you send to Claude Code, Jev classifies the subagent model, main model (only at session start to avoid breaking the cache), and effort level Install it with one command: npx claude-code-templates@latest --mod productivity/jev-model-router Full Mod details:

Daniel San

209,371 views • 1 month ago

Your agent doesn't know Jev. Most code calls LLMs the long way: state → prompt → text → parse → if statement Decision models like Jev skip the text and plug into your logic. Here's 30 minutes with TypeSafe AI's Allie the Icon on building with it.

Your agent doesn't know Jev. Most code calls LLMs the long way: state → prompt → text → parse → if statement Decision models like Jev skip the text and plug into your logic. Here's 30 minutes with TypeSafe AI's Allie the Icon on building with it.

CodeRabbit

15,521 views • 1 month ago

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 capabilities.

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 capabilities.

Max Blade

365,240 views • 1 month ago

🎉 To no one's surprise, Jev support just landed in TanStack AI via `decide()`, our new API for typed choices, scores, and booleans. We're excited to use this new API with more models soon, but for now the "jevolution" is in full swing! Jev on, ya'll.

🎉 To no one's surprise, Jev support just landed in TanStack AI via `decide()`, our new API for typed choices, scores, and booleans. We're excited to use this new API with more models soon, but for now the "jevolution" is in full swing! Jev on, ya'll.

TANSTACK

39,304 views • 1 month ago

Launching Jev on Command Code for free today. Jev x Command Code is super interesting. You can only use Jev in headless mode or Provider API. Also open sourced a mod "cmd-mod-jev-nudge" Use Jev for free to keep your agent running as long as the there's more work to do.

Launching Jev on Command Code for free today. Jev x Command Code is super interesting. You can only use Jev in headless mode or Provider API. Also open sourced a mod "cmd-mod-jev-nudge" Use Jev for free to keep your agent running as long as the there's more work to do.

Ahmad Awais

34,780 views • 1 month ago

Not another Jev. TypeLLM adds type-safe generation to LLMs — more types (string, number, boolean, enum), vision, dependent fields and thinking. Playground is open to all with $5 credit. API is rolling out to early-access users in the coming days.

Not another Jev. TypeLLM adds type-safe generation to LLMs — more types (string, number, boolean, enum), vision, dependent fields and thinking. Playground is open to all with $5 credit. API is rolling out to early-access users in the coming days.

TypeLLM

164,920 views • 1 month ago

Introducing Jev + Orthogonal. Describe what you need. Jev finds the right API in seconds. 1,000+ endpoints across 50+ providers. Ready to use. Pay as you go. Live now 👇

Introducing Jev + Orthogonal. Describe what you need. Jev finds the right API in seconds. 1,000+ endpoints across 50+ providers. Ready to use. Pay as you go. Live now 👇

Christian Pickett

102,115 views • 1 month ago

Jev is the future

Jev is the future

Jack Cheng

1,132,711 views • 1 month ago

Hash Rate - Ep. 189: Jev on Bittensor SN92 🧙 Guest: Florian S of @decisionmodels_ and REAX Rent Jev models: Mine SN92: 00:00 Introduction 02:02 Viral success of Florian's subnet announcement 03:26 Launch of 04:42 What's Jev? 06:16 Jev models v. traditional LLMs 08:26 Speed, cost, and intelligence 13:06 Jevbench 15:10 Open source Jev 22:07 Jev models in $TAO Subnets 27:24 Mining 33:24 Leaderboard 41:04 Decentralized Training of Jev models 49:37 Impact on traditional AI giants 55:19 The democratization of AI

Hash Rate - Ep. 189: Jev on Bittensor SN92 🧙 Guest: Florian S of @decisionmodels_ and REAX Rent Jev models: Mine SN92: 00:00 Introduction 02:02 Viral success of Florian's subnet announcement 03:26 Launch of 04:42 What's Jev? 06:16 Jev models v. traditional LLMs 08:26 Speed, cost, and intelligence 13:06 Jevbench 15:10 Open source Jev 22:07 Jev models in $TAO Subnets 27:24 Mining 33:24 Leaderboard 41:04 Decentralized Training of Jev models 49:37 Impact on traditional AI giants 55:19 The democratization of AI

Mark Jeffrey

15,624 views • 24 days ago

sharing an easy way to test DJev (Diffusion Gemma Jev), the next evolution of the incredible jev concept and fully open sourced (model, code, api...) imagine jev but it also has: - native image-input support - native image as options!! - real-time video streaming input - as fast as jev (not with images, 600ms) - same price as jev, but can get even cheaper - using Diffusion Gemma adapted - we are seeing on-par performance but happy to have external validation! It is a research preview made for fun, so don't expect stability and the awesome scaling as jev team has delivered! this was a weekend project :) have fun!

sharing an easy way to test DJev (Diffusion Gemma Jev), the next evolution of the incredible jev concept and fully open sourced (model, code, api...) imagine jev but it also has: - native image-input support - native image as options!! - real-time video streaming input - as fast as jev (not with images, 600ms) - same price as jev, but can get even cheaper - using Diffusion Gemma adapted - we are seeing on-par performance but happy to have external validation! It is a research preview made for fun, so don't expect stability and the awesome scaling as jev team has delivered! this was a weekend project :) have fun!

David Villalón

43,891 views • 1 month ago

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code or Codex era, they are still part of the assistance era with human in the loop - JEV is what comes next for LLMs x200 faster, x400 cheaper, 0 hallucination, no human in the loop - that's JEV, this is how LLMs will look like" in 36-minute tech talk, Jev Founder explained why RLHF isn't a thing anymore and how modern LLMs will be built this talk is worth more than a Stanford Machine Learning degree watch today no matter what, then learn how to become a Jev Engineer in the article below

Jev Founder, Diogo Almeida (ex-OpenAI): "The next era is not the Claude Code or Codex era, they are still part of the assistance era with human in the loop - JEV is what comes next for LLMs x200 faster, x400 cheaper, 0 hallucination, no human in the loop - that's JEV, this is how LLMs will look like" in 36-minute tech talk, Jev Founder explained why RLHF isn't a thing anymore and how modern LLMs will be built this talk is worth more than a Stanford Machine Learning degree watch today no matter what, then learn how to become a Jev Engineer in the article below

Codez

468,201 views • 1 month ago

Everyone is talking about JEV. Almost nobody knows how to actually use it. These 10 GitHub repos fix that. 1. browser-use/jev-ultrafast (~16.6k⭐) Jev for browser agents: pick the next action without another expensive LLM call. 2. tamaratran/fast-jev-compaction (~6.5k⭐) Uses Jev to decide what context still matters and what can be dropped. 3. TheoLeeCJ/SemIf (~4k⭐) Open-source Jev-style decision making you can run locally. 4. jarrodwatts/jev-trader (~2.1k⭐) Real-time trading loop where Jev decides buy, sell or wait. 5. kerpopule/hermes-jev-skills (~670⭐) Jev routing, memory, compaction and skill selection for AI agents. 6. devagrawal09/jev-review (~570⭐) Code review powered by Jev decisions instead of one giant prompt. 7. thruwire/foreman (~520⭐) Jev as a supervisor for coding agents: continue, retry, verify or stop. 8. superagents-lab/jev-search (~400⭐) Jev decides where and how an agent should search. 9. droidrun/mobile-jev (~350⭐) Jev for Android agents choosing the next app action. 10. gargpratyush/jev-router (~340⭐) Routes agent tasks to the right model with Jev. After looking through these, the pattern is pretty clear: LLMs generate. Agents execute. JEV decides. That decision layer is what most agent stacks are still missing. Save this if you want to integrate Jev into your workflow👇

Everyone is talking about JEV. Almost nobody knows how to actually use it. These 10 GitHub repos fix that. 1. browser-use/jev-ultrafast (~16.6k⭐) Jev for browser agents: pick the next action without another expensive LLM call. 2. tamaratran/fast-jev-compaction (~6.5k⭐) Uses Jev to decide what context still matters and what can be dropped. 3. TheoLeeCJ/SemIf (~4k⭐) Open-source Jev-style decision making you can run locally. 4. jarrodwatts/jev-trader (~2.1k⭐) Real-time trading loop where Jev decides buy, sell or wait. 5. kerpopule/hermes-jev-skills (~670⭐) Jev routing, memory, compaction and skill selection for AI agents. 6. devagrawal09/jev-review (~570⭐) Code review powered by Jev decisions instead of one giant prompt. 7. thruwire/foreman (~520⭐) Jev as a supervisor for coding agents: continue, retry, verify or stop. 8. superagents-lab/jev-search (~400⭐) Jev decides where and how an agent should search. 9. droidrun/mobile-jev (~350⭐) Jev for Android agents choosing the next app action. 10. gargpratyush/jev-router (~340⭐) Routes agent tasks to the right model with Jev. After looking through these, the pattern is pretty clear: LLMs generate. Agents execute. JEV decides. That decision layer is what most agent stacks are still missing. Save this if you want to integrate Jev into your workflow👇

unicode

20,745 views • 1 month ago

Introducing typesafe/jev-router: a cache-aware model router powered by Jev and TypeSafe AI The Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. Here's how it works 👇🏻

Introducing typesafe/jev-router: a cache-aware model router powered by Jev and TypeSafe AI The Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. Here's how it works 👇🏻

OpenRouter

1,334,435 views • 1 month ago

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren't sure how to start experimenting with it, just copy this checklist: 1. jev-ultrafast Browser Use's fastest agent. Jev decides the next action and which element to click, and a language model is only called when text has to be typed. 2. typesafe-mario Jev plays Super Mario Bros. from structured emulator state, choosing every action from features pulled out of the game. 3. jev-plays-pokemon Reads Pokémon Red's game state as text, answers typed questions each turn, and lets plain code turn the answers into moves. 4. jev-drone A camera-only autonomous drone in MuJoCo with a Jev judgment model sitting in the control loop at 2.5 Hz. 5. robo-harness A real SO-101 robot arm workbench where Jev picks bounded joint steps from typed candidate actions under a spend budget. 6. fast-jev-compaction Claude Code plugin that replaces the compaction summary with Jev decisions, scoring every tool call for whether it is still needed. 7. jev-claude Routes Claude Code's own judgment calls through Jev: typed choices with probabilities at plan approval, on questions, and before risky commands. 8. is-malicious Supply-chain check before you run anything: Jev Noul checks over source and build files, returning the implicated files and lines. 9. sqlite-jev Jev inside SQL. Noul, Choice and Score judgments exposed as SQLite functions, with confidence on every row. 10. jevinci Paints images by having Jev predict every pixel's colour in parallel, with confidence deciding how wide each stroke is drawn. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

Jev has been exploding in popularity recently. If you already have access to the Jev API but aren't sure how to start experimenting with it, just copy this checklist: 1. jev-ultrafast Browser Use's fastest agent. Jev decides the next action and which element to click, and a language model is only called when text has to be typed. 2. typesafe-mario Jev plays Super Mario Bros. from structured emulator state, choosing every action from features pulled out of the game. 3. jev-plays-pokemon Reads Pokémon Red's game state as text, answers typed questions each turn, and lets plain code turn the answers into moves. 4. jev-drone A camera-only autonomous drone in MuJoCo with a Jev judgment model sitting in the control loop at 2.5 Hz. 5. robo-harness A real SO-101 robot arm workbench where Jev picks bounded joint steps from typed candidate actions under a spend budget. 6. fast-jev-compaction Claude Code plugin that replaces the compaction summary with Jev decisions, scoring every tool call for whether it is still needed. 7. jev-claude Routes Claude Code's own judgment calls through Jev: typed choices with probabilities at plan approval, on questions, and before risky commands. 8. is-malicious Supply-chain check before you run anything: Jev Noul checks over source and build files, returning the implicated files and lines. 9. sqlite-jev Jev inside SQL. Noul, Choice and Score judgments exposed as SQLite functions, with confidence on every row. 10. jevinci Paints images by having Jev predict every pixel's colour in parallel, with confidence deciding how wide each stroke is drawn. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓

Hanako

29,894 views • 1 month ago

love jev, but upset it - isn't open source? - it lack vision capability? We fixed all of that, introducing A fully open source library which takes any HF model and Jev-ify it, with an API endpoint Now on github, and live in production at Featherless AI

love jev, but upset it - isn't open source? - it lack vision capability? We fixed all of that, introducing A fully open source library which takes any HF model and Jev-ify it, with an API endpoint Now on github, and live in production at Featherless AI

Eugene Cheah - AI builder @ 🇸🇬|🇺🇸

106,975 views • 1 month ago

Today we're launching Jev is our latest model, state of the art in zero-shot learning and real-time reasoning. For the next 10 hours, Jev is available live at 100% uptime. $5 per query.

Today we're launching Jev is our latest model, state of the art in zero-shot learning and real-time reasoning. For the next 10 hours, Jev is available live at 100% uptime. $5 per query.

Alex

52,389 views • 1 month ago

Introducing Jev + OpenRouter + tools. You can now use Jev with 2,000 tools on Monid. Your agent picks the tools, Jev speeds the work up 30x. > Score 2,000 leads > Scan the TikTok viral video hooks > Research fundraising of 200 companies > Audit a site's SEO and rebuild the internal links on every page > Sort every Reddit thread about your category

Introducing Jev + OpenRouter + tools. You can now use Jev with 2,000 tools on Monid. Your agent picks the tools, Jev speeds the work up 30x. > Score 2,000 leads > Scan the TikTok viral video hooks > Research fundraising of 200 companies > Audit a site's SEO and rebuild the internal links on every page > Sort every Reddit thread about your category

Shengkun Ye

18,305 views • 1 month ago

this is f*cking gold 12 open-source repos that plug Jev into real AI work, 550.7k stars combined Jev decides, your LLM writes. these repos are where that split already runs: agents > browser-use/jev-ultrafast (~20.3k): Jev picks the next action + DOM element, a small LLM only types. Zürich to London flights in ~7s > awlevin/typesafe-computer-use (~978): macOS computer use, OCR reads the screen, Jev picks the next click local decision models > jaredpalmer/kev (~7.1k): Jev-like models on Qwen, same /v1/systemone wire format > mizorewww/laya-mlx (~6.4k): Laya, the main open Jev-style engine, running on Apple silicon > TheoLeeCJ/SemIf-OpenJev (~4.3k): local semantic ifs from frozen open models, not a TypeSafe project > contrastive-lm/clm (~1.3k): open System One model with a Choice / Noul / Score API > vinnylarouge/jevlike (~1.3k): community trainer and tooling for your own Jev-like model context + skills > tamaratran/fast-jev-compaction (~6.9k): Claude Code plugin, Jev keeps, drops or truncates tool results instead of summarizing context > typesafe-ai/skills (~2.2k): official TypeSafe skill for Claude Code and Codex trading > jarrodwatts/jev-trader (~2.4k): one Jev buy/sell decision per Monad block catalogs > yibie/awesome-jev (~1.7k): the biggest map of Jev projects and discussions > Anil-matcha/awesome-jev-by-typesafe (~851): use cases, patterns and starter code start with jev-ultrafast

this is f*cking gold 12 open-source repos that plug Jev into real AI work, 550.7k stars combined Jev decides, your LLM writes. these repos are where that split already runs: agents > browser-use/jev-ultrafast (~20.3k): Jev picks the next action + DOM element, a small LLM only types. Zürich to London flights in ~7s > awlevin/typesafe-computer-use (~978): macOS computer use, OCR reads the screen, Jev picks the next click local decision models > jaredpalmer/kev (~7.1k): Jev-like models on Qwen, same /v1/systemone wire format > mizorewww/laya-mlx (~6.4k): Laya, the main open Jev-style engine, running on Apple silicon > TheoLeeCJ/SemIf-OpenJev (~4.3k): local semantic ifs from frozen open models, not a TypeSafe project > contrastive-lm/clm (~1.3k): open System One model with a Choice / Noul / Score API > vinnylarouge/jevlike (~1.3k): community trainer and tooling for your own Jev-like model context + skills > tamaratran/fast-jev-compaction (~6.9k): Claude Code plugin, Jev keeps, drops or truncates tool results instead of summarizing context > typesafe-ai/skills (~2.2k): official TypeSafe skill for Claude Code and Codex trading > jarrodwatts/jev-trader (~2.4k): one Jev buy/sell decision per Monad block catalogs > yibie/awesome-jev (~1.7k): the biggest map of Jev projects and discussions > Anil-matcha/awesome-jev-by-typesafe (~851): use cases, patterns and starter code start with jev-ultrafast

NO1ennn

43,110 views • 1 month ago

Introducing Jev TypeSafe AI powered social-api Try it at - One API to access any social data - Track every mention of you & your competitors - Find trending posts in your niche, filtered by Jev - Under $0.05 to pull 1,000 competitor ads Open source, 0% markup 👇 Repo link below

Introducing Jev TypeSafe AI powered social-api Try it at - One API to access any social data - Track every mention of you & your competitors - Find trending posts in your niche, filtered by Jev - Under $0.05 to pull 1,000 competitor ads Open source, 0% markup 👇 Repo link below

Treg

331,270 views • 4 days ago