I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block. Demo link → jev-trader.vercel.app
Articles
5 original guides to designing with Jev, from picking the right primitive to putting decision models inside agents. Each links back to the docs, cookbooks, and repos behind it.
The most common Jev design mistake is asking a question that does not match the primitive. Here is how to choose by the shape of the answer you need back.
Practices & Patterns#primitives#choice#score
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Confidence is not accuracy, and a single global threshold is rarely the right policy. A practical guide to per-action gates, measured thresholds, and the logs you will want later.
Practices & Patterns#confidence#routing#evaluation
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Jev cannot count, reads dates as text, and takes instructions literally. These are not bugs to work around quietly; they are design constraints with known guardrails.
Practices & Patterns#evaluation#state#dates
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The fastest-growing corner of the Jev ecosystem is coding agents. A tour of the MCP servers, tool-call gates, context pruners, and skill rankers built for that loop.
Tools & Integrations#agents#mcp#coding-agent
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Jev bills input tokens and gives output away, and questions in one request run in parallel. The design consequence is simple: ask more per call, then decide in code.
Cookbooks & Demos#batching#patterns#search
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From the community
Posts from builders shipping with Jev right now.
Trading bot, one decision per block
Classifying 1,500 real emails
this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away
@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
Fast browser use with Stagehand
we built blazing fast computer/browser use with Jev + @Stagehanddev. this task cost $0.001 and executed at near instant speed (in a remote browser btw) the loop: observe the page, send a11y tree as state + actions as questions, Jev decides the next action, then Stagehand Show more
@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