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Understand Jev, one idea at a time. Walkthroughs, recipes, and writeups — our notes first, the original next.
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Explore the Jev ecosystem.
Learn, build, and play with Jev — from deep technical guides to creative experiments.
Make & explore
Experiments.
See what builders made with Jev. Games, tools, repositories, articles, and more — traced to their sources.
The directory02 / 02 · Experiments
Find something worth exploring.
Every category, from games and tools to repositories and writeups, traced to a primary source.
Same ideas.
Different paths.
This is the full registry, not just the featured picks. Figures like speed, cost, and stars are maker-reported or captured snapshots, not JevMade measurements.
1507 experiments · showing 61–120
yibie's directory groups public Jev projects, integrations, and discussions by practical use case.
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from the source
- [Name](URL) - Industry: one-sentence description of the Jev use case.
Compare Jev with other controllers on simulated Panda pick-and-place, stacking, and obstacle-crossing tasks.
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Combine cryptocurrency market data with a sample of X posts to produce a buy, sell, hold, or take-profit decision card.
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Provides a visual editor for connecting Jev decision nodes into runnable workflows.
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Jev steers through traffic, junctions, and highway merges by choosing from paths generated inside a 3D driving simulator.
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A Claude Code router that uses Jev to choose the cheapest suitable model for each task.
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from the source
git clone https://github.com/gargpratyush/jev-router.gitcd jev-routernpm installnpm linkecho "JEV_API_KEY=..." > ~/.jev-router.env
See Jev's published chess row alongside language models in a benchmark that separates wins, losses and illegal moves across repeated games.
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Filters oversized Bash output into verbatim chunks before Claude Code or Codex has to read it.
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A mobile automation demo where Jev navigates Uber from route entry to payment selection.
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from the source
git clone https://github.com/droidrun/mobile-jev.gitcd mobile-jevcorepack enablepnpm install --frozen-lockfilecp .env.example .env.local
A web playground compares parallel and one-shot LLM judgments with a compatible open decision-model backend.
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TypeSafe JavaScript SDK
officialThe official TypeScript and JavaScript SDK for the TypeSafe API.
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choice
What is this ticket about?
Search multilingual text by meaning, with grep-like thresholds and AND, OR and NOT combinations over exact source lines.
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System One adapter (Python)
officialA Python replacement for TypeSafeClient that runs against general-purpose LLM APIs.
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from the source
from system_one_adapter import SystemOneAdapterClient, Noul, Score, Choiceclient = SystemOneAdapterClient( structured_outputs=True, # use the provider's native structured-output mode llm_answer_mode="probabilities", # or "discrete" normalize_probabilities=True,
A local-first MCP plugin for continuous software-quality reviews by coding agents.
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cobanov maintains a source-linked catalog of projects built with Jev.
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An Apple Silicon experiment scores visual candidates directly against shared context using a local model.
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from the source
jev-visual examples/photo-request.json --model-path .models/Qwen3.5-0.8B-4bit
Prism shadows deterministic Solana liquidity rules with Jev judgments about strategy, toxic flow, recovery, and market stress.
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fatwang2 pairs a sourced Jev project directory with a reusable GitHub review workflow dedicated to Jev submissions.
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Indexes visible browser controls, lets Jev choose an allowed operation and target, then verifies page evidence with Playwright.
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An MCP server that lets agents navigate a browser with Jev decisions.
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from the source
Install the Jev Browser MCP server for me. The package is @jkudish/jev-browser on npm an...command is `npx -y @jkudish/jev-browser`; register it as an MCP server with your client....TYPESAFE_API_KEY is already set in the server environment; if not, walk me through setti...pasting the key into the chat (I can create one at console.typesafe.ai/settings/keys). W...registered, ask if I'd like to run a first navigation task, and when we do, show me the...
JevK5 trains and serves an open-weight decision model that returns closed-choice probabilities in one forward pass; it is not TypeSafe's Jev.
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An agent skill for writing and improving programs that call Jev.
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from the source
git clone https://github.com/dbreunig/building-with-jev-skillcp -r building-with-jev-skill/skills/jev ~/.claude/skills/jev
A web-search tool that uses Jev for query interpretation, source selection, and relevance ranking.
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from the source
git clone https://github.com/superagents-lab/jev-search.gitcd jev-searchcorepack enablepnpm install --frozen-lockfilecp .dev.vars.example .dev.vars
A browser extension that uses Jev to identify page clutter and save reusable cleanup rules.
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Laya and Jev play the same T-Rex course; watch their choices, response times, and last-second safety saves as the dinosaurs dodge obstacles.
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Crawls a site from its homepage and uses Jev to judge page-level SEO findings for downloadable reports.
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Read English aloud and see word-level mismatches plus passage-level meaning judgments as the transcript settles.
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A Codex plugin where Jev handles browser clicks while Codex plans and verifies the larger task.
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from the source
codex plugin marketplace add wy-coliney/jev-browser-use && codex plugin add jev-browser-...
Paste a chat with a crush and inspect Jev’s per-message readings of emotion, intent, affinity, and reply quality.
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TypeSafe Python SDK
officialThe official Python SDK for the TypeSafe API.
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from the source
from typesafe_sdk import Choice, TypeSafeClientwith TypeSafeClient() as client: response = client.system_one( state={"document": "I was charged twice. Please fix this ASAP."}, questions={
Collects Jev applications, developer resources, and small runnable examples in an independent community directory.
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A benchmark of how Jev and a language model choose among 100 tools for a personal assistant.
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from the source
AGENT_MODEL=mock npm run eval # llm-directAGENT_MODE=jev-classifier AGENT_MODEL=mock JEV_STUB=1 npm run eval # jev-classifier
Find sponsor reads in YouTube captions or live transcription, then skip only the time ranges controlled by the extension.
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Control macOS by voice or text as Jev navigates the Accessibility tree without screenshots.
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Exposes DiffusionGemma typed readouts through Jev-compatible choice, score, Noul, span, and spans requests.
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Classify data with Jev from inside PostgreSQL.
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Left-pad a string by asking Jev how many spaces it needs. Yes, padStart already exists.
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Reimplements Jev-style bounded decisions locally, exposing a compatible contract over prompt-only and open-weight backends.
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An unofficial TypeScript client for Jev's choice, score and yes-or-no questions.
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noul
Is `input[0]` a duplicate of `input[1]` in checkout?
Use a chat-shaped command bar where Jev chooses real tools and arguments but never writes the response itself.
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Let Jev choose quick browser actions while a separate language model plans, reads, and drafts answers grounded in page quotes.
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Helps a Grok bot decide when to reuse work, stop retrying, limit research, delegate or bring in a person.
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A linter for mistakes that pass the type checker, like a comment promising null while the function throws.
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Runs bounded Jev action selection inside Codex Computer Use for observed browser and macOS controls, with local outcome checks.
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A voice-controlled browser where Jev selects an intent and target as speech arrives, then Playwright performs the action.
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from the source
git clone https://github.com/moritzkremb/jev-voice-browser.gitcd jev-voice-browsernpm installnpx playwright install chromiumcp .env.example .env # paste your TypeSafe API key (https://console.typesafe.ai...
Let Jev check a Pi agent's proposed tool calls before they run.
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noul
Is this relevant to the user's question?
A Go MCP connector that gives AI agents direct access to Jev.
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noul
Does this convey urgency?
AnotiaWang collects Jev applications, libraries, and learning resources in one community list.
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A Pi guardrail that steers agents away from risky, irrelevant, or low-quality tool use.
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An Effect provider that turns Jev's choice, score and yes-or-no answers into typed values for custom agent loops.
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from the source
type WireQuestion = | { readonly type: "choice"; readonly instructions: string; readonly criteria: Decisio... | { readonly type: "score"
Gives coding agents a Rust CLI and MCP server for deterministic SEO checks, live crawls, and optional Jev judgements.
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Reflex is an open Qwen3.5-based model that maps state and typed questions to calibrated probabilities.
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choice
Which team should handle this?
Speak a task to your Mac and let local transcription plus one Jev decision choose the operation and target.
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from the source
One TypeSafe request per decision cycle carries:* ``operation`` Choice over the operations that are actually possible on this scree...* ``click_target`` Choice over the observed clickable elements (speculative).The executor consumes only the head that matches the chosen operation.
Jev pilots a MuJoCo drone by making a fresh flight decision from physics state on every tick.
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Runs semantic grep over a live source tree and returns scored matches with their file and line ranges.
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Run browser, computer-use, game, and robotics agents through one interface for Jev, Laya, and Cua-S1.
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Make Jev “chat” by sampling its probability distribution over the next character or token, one request at a time.
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Screens datasets with Jev, separates keep, review, and reject records, then trains and compares a configured language model.
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Replay Jev and chat-model judgments side by side on comment datasets imported from CSV or Excel.
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A video-editing tool that scores each spoken sentence with Jev and renders the results as a live 16:9 meter.
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Jev, briefly
A decision model, not a chatbot.
A chat model generates text token by token and hopes you parse it. Jev never generates a word. Your code sends the state of the world plus typed questions; Jev returns every answer in one parallel pass — typed values with calibrated probabilities and a confidence score your code can trust. About 70–500 ms end to end, $0.042 per million input tokens, output free. Trained with what TypeSafe calls Reinforcement Learning for Calibrated Decisions.
choice Pick one of these.
You define the options. Jev returns the chosen option, a probability for every option, and a confidence. The workhorse of routing, agents, and games — the answer space is always legal, so there is nothing to parse and nothing to hallucinate.
score Rate this on a rubric.
You describe ordered levels — say trivial / normal / critical. Jev returns the level, the probability of each, and a confidence. Scores turn fuzzy judgment (“how severe is this log line?”) into a number-free decision your code can branch on.
noul Is this statement true?
You assert a statement; Jev returns the probability that it is true — a noul. Moderation, verification, guardrails, “does this diff actually fix the bug?”: one question, one calibrated probability.
Official material lives at typesafe.ai and docs.typesafe.ai. JevMade is an independent community registry — not affiliated with or endorsed by TypeSafe AI.
Recurring lessons
Patterns that keep showing up.
One decision per tick
Games, drones, trading bots, and browser agents all converge on the same loop: serialize the state, ask one decisive question, act, repeat. Jev’s latency makes the loop feel instant — the model lives inside the control loop, not outside it.
Confidence as a gate
The answer says what; the confidence says whether to act. The most reliable entries threshold on confidence to route edge cases to a slower model or a human — automation with an honest escape hatch.
Shrink the choice space in code
Makers rarely ask Jev to pick from everything. Local tactics prune 225 gomoku moves to ~40; DOM filters turn a page into an element table; code narrows options, Jev judges within them.
Jev judges, LLMs talk
A recurring split: Jev makes every decision cheaply and instantly, and a small LLM is only invoked when a human-facing string must actually be written. Decision and generation are separate budgets.
Made something with Jev?
Send the link — repo, live demo, post, or video — plus a line on what it does and which primitives it uses. Every entry is verified against its primary source before it ships.
Submit your experiment → hello@JevMade.com