Read & learn
Written guides.
Understand Jev, one idea at a time. Walkthroughs, recipes, and writeups — our notes first, the original next.
Explore the Jev ecosystem.
Learn, build, and play with Jev — from deep technical guides to creative experiments.
Watch & learn
Video guides.
See an idea take shape. Tutorials, demos, and deep dives, organized by topic and credited to their creators.
Make & explore
Experiments.
See what builders made with Jev. Games, tools, repositories, articles, and more — traced to their sources.
The directory03 / 03 · Experiments
Find something worth exploring.Experiments
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.
393 experiments · showing 61–120
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Compose Jev state and typed questions in a visual IDE, inspect the request JSON, then explore probability-rich result cards.
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Open a Markdown vault as a matrix of notes and tags, then review Jev’s colored confidence nodes before writing frontmatter.
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A tiny workflow language where conditions such as “this email feels urgent” resolve to Jev probabilities.
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Shortlists local Markdown passages lexically, reranks them with Jev, and returns original text with source references intact.
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Paste a message to see how it sounds before sending, from overall tone to sarcasm, urgency, pushiness, and formality.
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An OpenTelemetry log-triage tool that uses Jev to decide which signals warrant deeper language-model analysis.
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from the source
# Evaluate the included sample logs with Jevnpx jevlogs --live --sample# Evaluate a local log filenpx jevlogs --live --file ./app.log --limit 20# Pipe JSONL in; get machine-readable decisions out
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A stock dashboard that uses Jev to classify and score daily market conditions.
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from the source
git clone git@github.com:unicodeveloper/jevocks.gitcd jevocksnpm install
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Edit Jev scenarios beside their typed answers and probabilities in a colorful three-column playground.
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A live Hyperliquid trading application that can use Jev as its decision model.
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from the source
MODEL=jevJEV_PROVIDER=typesafeTYPESAFE_API_KEY=# JEV_MODEL_ID defaults to jev-latest
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A UI experiment that asks Jev to choose layouts and components for working shadcn screens.
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Moderates tournament copy and in-game snake shouts, while keeping hard blocks and the human review queue firmly in code.
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Combines DeepSeek-written WeChat replies with optional Jev intent checks, quality review, and ranking on Windows and preview macOS builds.
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Try three editable forms that show how Jev routes each submission to a recipient.
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A recursive tournament engine that uses Jev scoring and Swiss matchmaking to rank AI candidates by Elo.
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from the source
TYPESAFE_API_KEY=your_key_hereTYPESAFE_MODEL=jev-latest
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A command-line tool for inserting Jev-based semantic decisions into Unix pipelines and CI jobs.
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from the source
TYPESAFE_API_KEY='...'
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Turn live Japanese speech into variety-show captions, manga effects, colored lenses, and sound cues.
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A book becomes a glowing poster as Jev scores the emotions in its passages.
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Browse Taobao or JD while products that may come from non-weekend-friendly workplaces receive a PASS stamp.
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Cover YouTube recommendations judged more distracting than useful while keeping a “show anyway” escape hatch.
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Describe the icon you need and watch matching SF Symbols rise out of a physics-driven pile.
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from the source
questions["s\(index)"] = [ "type": "noul", "instructions": "A person searches an icon library with the text in `query`. " + "Is the icon described at `icons.s\(index)` a good result for that search?", "criteria": [
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Blur X posts that match expressions you choose, using Jev scores rather than hiding an entire account.
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A shell client for asking Jev Noul, Choice, and Score questions and receiving numeric answers rather than prose.
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noul
Does the state request a refund?
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A playful experiment that makes Jev compose a Grug-style reply one chosen word at a time.
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choice
Choose the next word in Grug reply.
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Type an ambiguous Chinese message and compare judgments about its meaning, anger level, and need for a caring response.
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Watch Kubernetes pods while Jev labels incident severity, suggests a remediation class, and flags cases for a human.
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Triage Gmail at a glance with badges for category, priority, spam likelihood, and whether a message needs a reply.
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An ad-free YouTube client whose Windows companion experiments with Jev recommendations and quality selection.
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from the source
private const string JevEndpoint = "https://api.typesafe.ai/v1/systemone";
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A Rust query language that mixes ordinary analytics with row-by-row semantic judgments from Jev.
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from the source
"questions": { "is_urgent": {"type": "noul", "instructions": "Does this convey urgency?... "department": {"type": "choice", "instructions": "Which team should hand... "criteria": {"billing": "Payments, invoicing, refunds", "... "frustration": {"type": "score", "instructions": "How frustrated is the...
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Lets people test which memories Jev would admit, comparing editable cases through an inspectable web interface.
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Flags OpenAPI changes whose schemas still match but whose descriptions imply different behaviour.
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Paste JSON, a JWT, cron, stack trace, code, or prose and watch the page become the tool that content needs.
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Let Hermes plan milestones while Jev chooses immediate actions for a Mineflayer bot in Minecraft.
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Mark likely sponsor reads on a YouTube seek bar and skip them automatically using judgments made from captions.
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Paper-trade live markets with agents that ask Jev once a second whether prices look ready to rise, fall, or stay flat.
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A chat assistant for Feishu and WeCom that uses Jev to separate tasks and urgent requests from everyday chatter.
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Drop a folder of résumés into a desktop app and compare judgments of role, seniority, technical depth, and possible inflation.
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Grade a page separately for search engines, answer engines, and generative-engine citation, then rank evidence-backed fixes.
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Give an Android device a goal and let Jev navigate its accessibility tree one tap, swipe or back action at a time.
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A terminal oracle that answers any question with a bare Yes or No, then renders the verdict in a 3D hyperspace.
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from the source
body: JSON.stringify({ state: question, model, questions: { [QUESTION_KEY]: {
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Turns a plain-language request into a macOS menu action by scoring every available menu path with Jev.
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Chooses a meal from a personal candidate pool by combining Jev suitability checks with a final bounded choice.
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Build a personal Hacker News feed by scoring new stories and articles against interests saved by each reader.
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A code-search CLI that asks the same yes-or-no question of every function and ranks the answers.
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from the source
pip install every-cli # installs the `every` commandexport TYPESAFE_API_KEY=... # PowerShell: $env:TYPESAFE_API_KEY="..."every --selftest # 20 labelled functions, one request; prints recall / fa...
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A small, dependency-free Python CLI for Jev Choice, Score, and Noul questions.
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choice
Which team should handle `message`?
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A TypeScript library that recursively navigates a taxonomy so Jev can choose among more than 255 options.
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from the source
import { createJevTree } from 'jev-tree';const tree = createJevTree({ maxFanout: 32 });const result = await tree.select({ state: 'Replica lag 47m on primary still accepting writes', question: 'Which incident type is this?',
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A live tone labeler for Bluesky posts and drafts using Jev.
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A SQLite extension for filtering, ranking, classifying, and scoring rows with natural-language predicates evaluated by Jev.
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A macOS window switcher that uses Jev to predict which window the user wants next.
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Speak through your notes while Jev quietly checks off each talking point once you have covered it.
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Sweep through a synthetic inbox as Jev sorts messages, flags required action, and identifies mail that looks safe to trash.
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Judge whether an article or video merits a read, skim, save, or skip before you open it.
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Press a macOS shortcut, speak a command, and let Jev route it to a bounded app, typing, volume, or interface action.
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Type a short phrase and browse a many-emoji reply assembled from Jev's relevance scores.
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Tell Tab Bouncer what you are working on, then review and close the open tabs most likely to lead you astray.
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Open an Idealista rental and receive an on-page check for scam signals, contract traps, and unusual pricing.
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A writing scorecard for spotting filler and unclear prose.
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Tell a Chrome side panel what you want done, and it chooses visible controls while watching for completion and risky clicks.
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Shows how strongly each Kotlin file follows functional-programming ideas such as immutability, pure functions and explicit effects.
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Sorts exported Upwork listings into apply, review or skip for one freelancer's skills and working constraints.
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Lints text files with explicit anti-slop rules and Jev judgments, leaving a separate writing agent to make the repairs.
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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 experimentSign in first so we can reply to you. Submissions are reviewed, not published automatically.