Guideyoutube.com/@KodeKloud
Jev Explained in 3 Mins
KodeKloud’s short: what a System One model decides, and why it answers in milliseconds.
Updated Nov 3, 2026
Jev tutorials, walkthroughs, interviews and demos from YouTube. Every video plays on this page, and each card says what it covers before you start it.

Diogo Almeida
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
Guideyoutube.com/@KodeKloud
KodeKloud’s short: what a System One model decides, and why it answers in milliseconds.
Guideyoutube.com/@CalebWritesCode
Caleb Writes Code: what Jev is and how to use it, in seven minutes.
Guideyoutube.com/@madewithjev
Our own video, under five minutes: an LLM writes, Jev decides and code acts, where the term comes from, and how to move your first decision.

Guideyoutube.com/@GregIsenberg
Greg Isenberg and Ryan Vogel on the Startup Ideas Pod: what Jev is, the businesses it unlocks, and how to call it today through the Vercel AI Gateway.
Guideyoutube.com/@syntaxfm
CJ from Syntax explains how Jev works, then demos browser use, classification, code review, a model router and a chat bot with no LLM.
Guideyoutube.com/@vogeldev
Ryan Vogel runs Jev on 100 and then 1,000 of his emails: category, priority, spam and reply predictions.
Guideyoutube.com/@AICodeKing
AICodeKing tests support routing, refund detection, prompt-injection resistance and browser automation.
Guideyoutube.com/@retriever-ai
Retriever AI tests Jev on real browser tasks: where it worked, where it struggled, and how they will use it next to larger models.
Guideyoutube.com/@NidhiSinghAttri
Nidhi Singh’s setup: one terminal, three AI subscriptions, and Jev picks the model for Claude Code, Codex and Cursor.
Guideyoutube.com/@avb_fj
Neural Breakdown with AVB takes Jev apart and looks at architectures for models that predict JSON. The video starts at 6:57.
Guideyoutube.com/@TechBrewRideHome
A podcast segment on TypeSafe AI, its $40 million raise, and why the name is a nod to Jevons paradox.
Guideyoutube.com/@GaryExplains
Gary Explains on the catch: Jev understands natural language but it is not an LLM. It answers with structured values and a confidence level.
Guideyoutube.com/@samwitteveenai
Sam Witteveen on System 1 thinking, then demos of Choice, Score and Noul, a practical example, and chained actions.
Guideyoutube.com/@nateherk
Nate Herk compares speed and cost against ordinary models, then builds an X feed classifier and a real-time paper-trading prototype live.
Guideyoutube.com/@RAmjad
Ray Amjad puts Jev inside an agentic coding loop and looks at what it costs to run.
Guideyoutube.com/@DavidOndrej
David Ondrej explains how to use Jev, the architecture behind it, and how to build a business on it.
Guideyoutube.com/@Itssssss_Jack
Jack Roberts walks through the three kinds of micro decision: a yes or no, a choice from preloaded options, and a score from 1 to 100.

Guideyoutube.com/@maximilian-schwarzmueller
Maximilian Schwarzmüller on a new kind of model that beats LLMs in the areas it was built for.
Guideyoutube.com/@albertolgaard
Albert Olgaard tests Jev and explains why the System One models matter.
Guideyoutube.com/@TheHunterBohm
Hunter Bohm on how Jev works, pricing and parallel decisions, whether it is actually new, and his own Astra plus Jev benchmark.
Guideyoutube.com/@promptwarrior
Moritz starts from the API key, then builds three prototypes: a voice-controlled browser, memory retrieval, and a YouTube topic scorer, and says where Jev still needs an LLM or plain code around it.
Guideyoutube.com/@RoboNuggets
RoboNuggets: how to put Jev to work inside Claude Code.
Guideyoutube.com/@MG_cafe
MG walks through setting Jev up with Claude Code from scratch.
Guideyoutube.com/@AIJasonZ
AI Jason pairs Jev with Treg and builds automation on top of the two.
Guideyoutube.com/@AI-GPTWorkshop
Zubair Trabzada's AI Workshop: what Jev actually does, and why calling it an LLM misleads.
Guideyoutube.com/@Supabase
Supabase, in a short: Jev introduced in under a minute.
Guideyoutube.com/@samwitteveenai
Sam Witteveen goes through the open decision models released in Jev's first week.
Guideyoutube.com/@engineerprompt
Prompt Engineering puts Jev in the reranking step of a RAG pipeline: why vector search and cosine similarity fail, how a steerable reranker works, and how it compares with LLM rerankers and cross-encoders. A Colab notebook comes with it.
Guideyoutube.com/@JulianGoldieSEO
Julian Goldie’s hour-long course: the three question types, many decisions batched in one request, and ten use cases, from email sorting and lead scoring to internal linking across 586 pages and a browser agent finding flights.

Guideyoutube.com/@KevBuildsApps
Kev makes Jev the decision maker inside HyperEdit, his open-source AI video editor, and walks through the whole setup with Claude Code. The repository is free on GitHub.
Guideyoutube.com/@CoderOne
Coderone on Laya, the open System One model from Convai Innovations: what typed decisions are, why they replace a share of LLM calls, and Laya run locally to see if its figures hold up.
Guideyoutube.com/@daveebbelaar
Dave Ebbelaar in Python: a support-ticket classification first, then Choice, Score and Noul, several questions in one call, and latency and price next to Claude Haiku, Opus 5 and Fable 5.1.
Guideyoutube.com/@Raul-Marin-Calleja
Raúl Marín, in Spanish: what Jev decides against what an LLM writes, then closed judgments applied to a design system — variant choice, email classification next to GPT, fast UI rendering and screens generated from prompts. 21 minutes, with chapters.
Walkthroughs, interviews and demos. Every video plays here, so you can watch it without leaving the page, and each one says what it covers before you start it.
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