What people are already doing with Jev

Fabio Angela (@FabioAngela79) built a voice game companion: Chrome extension into his engine, Groq for LLM, ElevenLabs for voice, Chrome ASR, and Jev for command vs social-interaction detection so the sidekick acts before mixing chat with controls. The shown game is a stack test; he also posted a Jev-interaction debugger. Distinct from jevbunny (tool choice on partial speech): here the decision is whether an utterance is a game command or social talk.

Games · 23h ago

crydevil (@_crydevil_) wired Jev into StopSlop, a Chrome extension that hides slop, clickbait and hidden ads on the X feed by content — not CSS selectors. In his test Jev was ~10× faster than Gemini 2.5 Flash Lite on the same posts and more accurate; also labels author country for a geo block. Live on the Chrome Web Store. Distinct from adblock-jev (DOM ads) and Unclutter (page chrome): this classifies tweets.

Moderation · 23h ago

Prateek Kathal (@prateekkathal, CrowdLinker) shipped JevPromptCoach: a Claude Code plugin that scores prompts on seven coding checks (name the file, state success, limit scope, include verification). Default mode adds zero latency — it only appends a local log line (27–31 ms). Backfill of 1,039 prompts cost about $0.06. Held-out eval: 40 real prompts, fail-precision 0.86–1.00. Distinct from compact-adviser (when to /compact) and rules-gatekeeper (which rules to load).

Code · 37h ago

Cline (@cline) shipped a marketplace plugin, jev-browser: Jev launches Chrome in the background and completes any browser task from the Cline desktop app. Install from Customize > Marketplace > Plugins; Vercel AI Gateway key in ~/.cline/plugins/cline-jev-browser.config.json. Guillermo Rauch replied. Distinct from jkudish/jev-browser (standalone Wikipedia racing): this is Jev as a Cline tool with a full Chrome, not a one-repo demo.

Browser · 39h ago

Kun Chen (@kunchenguid) shipped compact-adviser, a Claude Code / Pi plugin. Jev answers two questions — is the unit finished, is this hands-on or coordination — and a score decides whether the session is at a safe task boundary to compact. Distinct from fast-jev-compaction (keep/delete tool results). Private eval: 96 checkpoints from 40 real sessions; threshold 0.90 when the window is empty, 0.50 when it's 90% full (precision first, then recall). Hint vs auto modes.

Agents · 40h ago

Higgsfield put Jev in charge of model auto-routing on their API (50+ frontier image/video models). Jev picks the most cost-effective model for the task, balancing speed and quality. They posted the idea, then a result video of generations going through that router.

Routing · 41h ago

Chris Tate (@ctatedev, Vercel Labs) wired Jev into json-render v0.21.0. The playground splits default JSONL streaming vs Jev experimental: experimental_composeSpec / experimental_createEvaluator pick catalog components (Choice, Boolean, Score) instead of writing free-form UI JSON. Same shadcn catalog, actions, and design system. In the posted Sign-in run, default was 0.09s TTFR / 3.20s total; Jev was 0.92s TTFR / 0.94s total — the spec lands in one shot.

Demos · 41h ago

Sodra needed one English word from a vague description. Jev's Choice cap is 255 options, so they ran a tournament: 523k words → 6,159 → 75 (keeping the top 3 of each call) → 1. The word was 'corrigible'. Distinct from official semantic-find (search inside a document): this is a hierarchical Choice over a whole dictionary.

Search · 42h ago

Chris DiNicolas swapped two judgment steps in a customer-feedback pipeline — is this a bug, a feature request, or spam? is it the same problem we already saw? — onto Jev, against 1,040 public Claude Code issues. Versus Sonnet 4.6 on the same calls: $9.25 → $0.20 (47×), 3.0 s → 0.49 s per decision, 96.3% vs 94.5% on bug-vs-feature against GitHub's own labels (946 issues). Duplicate matching on par. Naming clusters still needs Claude, so the pipeline as built only drops ~38% overall. Distinct from official ticket triage: this is product-feedback clustering on a real repo.

Extract · 42h ago

Thestral12/pr-sieve is a GitHub Action. Rules in `.jev.yml` (read from the base ref so the PR cannot rewrite them) become TypeSafe questions. The check fails, comments, or passes from the numbers — no review text, no patch, no approve. Thresholds like looks_like_secret ≥ 0.85 fail, touches_auth ≥ 0.75 comments. Distinct from jev-review: this is a CI sieve, not a staged review bot.

Code · 43h ago

Pratim Bhosale (@BhosalePratim, Gradium/Spokira) swapped the LLM tool-chooser for Jev in a live voice agent (jevbunny). The model decides the next tool on partial speech instead of waiting for the end of the turn — cheap enough to fire while the user is still talking. Demo: 'draw bunny ears on my head' with Gradium STT at 82 ms. Distinct from Home Assistant: this is mid-utterance tool calling, not a smart-home skill.

Agents · 43h ago

truevis/classifier is a multi-label router for legal research prompts. Each Texas statute database gets its own Noul ('should this prompt search Natural Resources?'). Scores ≥ 0.5 are kept; if none clear the bar, top-3 fallback. Runs through OpenRouter's Decisions API. Distinct from official hierarchical classification: a concrete law-DB chooser with sample reports, not a cookbook pattern.

Legal · 44h ago

Nakshatra Saxena (@nedwize) replaced last season's LLM tax-doc pipeline with Jev. One request per page: Choice over 261 IRS forms plus 7 page kinds, no generated text. Open-sourced as kyotofin/tax-doc-classifier. TaxCalcBench filled forms: 314 pages, 0 wrong. Per page vs Claude Sonnet: $0.00115 vs $0.039 (34×), ~0.5 s vs ~3.3 s warm (6×). Blank TY2025 forms: 0 wrong labels, 38/753 below 0.95 confidence.

Legal · 44h ago

Raihan Khan built an arena where two Jev instances play Snake against each other in real time. Low latency is what made a competitive loop possible. Live at jevarena.up.railway.app.

Games · 46h ago

Elvis Sun's newsjack.sh uses Jev as the coarse-relevance pass before anything expensive runs. In the public demo it read 384 morning stories and told 15 brands which ones to hop onto in 24.9 s for $0.19. Claude Opus 5 on the same feed got through 4/384 and cost $0.77 — about 390× cheaper per headline. Hours later he shipped Jev Mode for real monitoring: ~200 signals in 8 s for about a cent, zero dropped stories in their eval. Open-sourced in the demo/ folder with 30+ PR-team skills. Same product, same job — one card.

Ads · 46h ago

Arne Wiese: each key = 1 request, 53 typed decisions, ~300 ms, $0.0002. Code builds page + sitemap from the probabilities; a small model writes the copy afterward, in stream. composer.nordwerk.dev.

Demos · 46h ago

shotovim on X points the entity-alignment cookbook at files and knowledge in Obsidian. Decide which notes talk about the same entity: merge vs. leave vs. curator.

Search · 46h ago

_trou3: Jev evaluates and 'roasts' the scramble. A deterministic solver undoes the moves. Live at rubikjev.solo.engineer.

Demos · 46h ago

hollow-creek-sigma demo: NPCs watch your actions, remember, and decide how to treat you with Jev. Memory + disposition Choice, with no dialogue generated by the decision model.

Games · 46h ago

nitoba/questions: TS abstraction (Zod, streams) for finite semantic decisions. Control flow in code; the model only answers what code cannot answer cleanly. Works with Jev, Vercel Evaluation, and the AI SDK.

Code · 46h ago

Franci Penov: local app with Jev + Cactus Needle, OSM maps, Mapillary, Qwen3 TTS voice. Three prompts. Jev as a judgment layer over POIs and street coverage.

Demos · 46h ago

COSMICGATE: Jev in prediction compute workers — architecture already built around calibrated probabilities, not text. Fits multi-agent forecast synthesis.

Trading · 46h ago

Emil Lindfors ran jev-1.13.0 on 24 Norwegian documents from the 2022 resource-rent-tax hearing. 11 typed questions per doc (stance, respondent type, 8 arguments, substance). Stance 20/24, respondent 21/23, arguments 0.86 agreement, substance 19/24 vs Claude Fable 5.1 labels. Median 0.32 s; $0.22 per 1,000 documents. Calibration: 0.7–0.9 bin 97% agreement. Distinct from Spain's BOE gazette: Norwegian policy text, not a daily gazette sweep.

Legal · 46h ago

Tom Collins: the product currently uses Gemini to classify message intent and sees Jev as the obvious fit. Bounded decision, high volume, no need for prose.

Support · 46h ago

Azdine M. on X: with account history + Jev you can build anti-spam/phishing that judges meaning, crossed with classical signals (account age, links). Discord-mod applied to email.

Security · 46h ago

EliaAlberti: Jev in front of Claude Code chooses which of the 12 project rules enter the prompt. 1,390 → 330 tokens, $0.00002 per decision. 'Cheap model deciding what the expensive model sees.'

Agents · 46h ago

Superagentic AI integrated Jev into SuperQode as a code and workflow harness. The decision model sits beside the implementation agent.

Agents · 46h ago

Valentin Sattinger on X: first a Noul per sentence ('needs redacting?'), then a Choice of the words. Catches what regex misses — trade secret, health data with no known format.

Extract · 46h ago

Ori Silver / Maxfusion on X: Resilia's entire ad library. Jev classified 1,891 ads in 19 s for $0.12 — funnel stage, creative style, and account deep dive. Goes into Maxfusion's MCP.

Ads · 46h ago

Show HN: RF engineering task — center, insertion loss, return loss, and bandwidth. Author reports Jev destroying frontier models on 12 GHz bandpass tuning.

Demos · 47h ago

Show HN semanticspace.dev: a Cartesian plane whose axes are arbitrary phrases. Jev maps prompts into 2D space. You can edit axes and visualize any relation.

Demos · 47h ago

Daniel Ch (@chhddaniel, Shipper, brother of David) launched Jev for Website to App: paste any URL, jev-1.13.0 decides how to rebuild the site as a native iOS/Android app, then Shipper submits to the stores. Internal use for a while; public today at shipper.now. Distinct from the System One Agent claim — this one actually calls TypeSafe Jev.

Browser · 2d ago

Romàn (@romanbuildsaas) of Gojiberry (YC P26) ran Jev on 700 high-intent leads with personalized outreach. In 40 seconds it predicted how each message would perform, assigned a confidence score, and flagged lead–message mismatches — $0.09 total. Coming to GojiberryAI + MCP. He noted the posted video is a concept preview, not product footage.

Ads · 2d ago

Rafal Wilinski (@rafalwilinski, founding eng at Runlayer) put Jev under a Chromium farm that tries to break each release. Agents + browser in parallel; he says it costs pennies. Distinct from booking a flight: the artifact is their own product under attack, the decision is whether a run broke the release.

Security · 2d ago

Anton Horning (@antonhorning) shipped TypeSafe Jev into Aelipsis, a Chrome/web tool that compares tabs, PDFs and notes already open and flags material changes in price, timing, scope and responsibility with the exact passage attached. Typed routing instead of an LLM parse. In beta at aelipsis.com. Distinct from citation-check: this judges whether two versions of a live document actually changed a commitment.

Legal · 2d ago

kitze (@thekitze) shipped a calorie-tracking notebook on Jev: type what you ate, get a structured log without waiting on a chat model. Instant on the demo. Distinct from his Unclutter extension — this judges a food line, not page clutter.

Science · 2d ago

yusukebe/hono-jev-router: `app.on('jev', 'a request from an AI agent', handler)`. Method, URL, headers, and body go to Jev with one Noul per description, evaluated in parallel. First match above the threshold wins — a semantic router for Hono.

Routing · 2d ago

Aman Kumar's onlyoneaman/jev-eval ran Jev against gpt-5.4-mini and gpt-5.6-luna on four public classification sets, then on real pipeline decisions. Short-text classification: level or ahead on three of four, 5–56× cheaper, median under a second. Confident answers were right 90–100% of the time; the middle is a coin flip. Verdict: use it as a filter.

Routing · 2d ago

AkashPriyadarshii/jev-curate sifts synthetic and pretraining corpora as they stream: Parquet and JSONL, 10M–1B rows. Jev scores each row (circular logic, sycophancy, incomplete code) without rewriting it. Reported 1,500+ rows/s, about $4.20 per 100M tokens.

Extract · 2d ago

jcpsimmons/jev-macos-loop is a disposable Finder agent on Apple silicon. Pixels stay local; only text goes to Jev. Nine test files into three folders in 7.39 s, every file checked afterward, warmup excluded, video at normal speed. Distinct from the general macOS computer-use harness: this is one concrete loop — pick a folder for a file — running against real Finder.

Browser · 2d ago

Dragos Roua: Jev decides, with confidence, whether a keyword release (Applyra + App Store) is needed. With no analytics in state, 28% confidence to proceed — and 78% that it should look at the numbers first.

Ads · 2d ago

Steve Faulkner (Cloudflare) baked Jev into a tiny language. `feels` asks a question, `match` routes on descriptions, `while` loops until something stops feeling true. A TypeScript interpreter runs the program; Jev supplies judgments; a separate LLM writes prose. The inbox demo checks urgency, routes the department, and drafts a reply. Toy by design — no arithmetic, 12 model-call cap — but it is the first language whose control flow is a System One model.

Code · 2d ago

reachjalil/jev-tree: recursive Choice over a JSON taxonomy, one call per level, auto-bucketing when siblings exceed 255. Truncating to 255 in their bake-off dropped the tail — 'all of Cape Town'.

Routing · 2d ago

Infrawrench/Jeeves: admins write '/addaction question: Banir quem fizer piada com a sua mãe'. Jev interprets messages and strike history; Gemini describes images. Invitable bot, not just a repo.

Moderation · 2d ago

EugeneBoondock/jevsql is the same idea as a library, with jev_choice / jev_bool / jev_score and a dry-run explain that shows cost before spending the API. 200 judgments: 1535 ms cold, 3 ms hot.

Search · 2d ago

vinilana/live-jev: a top-down car in the browser. Every ~200 ms the sensors become JSON and Jev answers lane_action, speed_action, hazard Score, and pedestrian_yield Noul in one call. Code applies confidence gates: a low-confidence lane change is ignored; a strong yield overrides speed.

Robotics · 3d ago

compozy/yoshi: proxy for Claude Code and Codex. Judges new spans above a 50k-token gate and replays cached omissions without rejudging.

Agents · 3d ago

tsuyoshi_osiire wired Jev as a meeting sensor: as the transcript grows, typed questions fire in parallel — is this a decision, an action item, a disagreement, should someone jump in. Code owns the UI. Judgment on the audio path, not a chatbot recap.

Support · 3d ago

LangChain shipped experimental middleware that uses Jev to check risky tool calls (e.g. bash) and block them before execution. The post cites Kyle Jeong (browser), Jarrod Watts (trading), and Ryan Vogel (email triage).

Agents · 3d ago

LangChain cites Ryan Vogel doing email triage at scale with Jev. The shape is the docs': intent, urgency, needs a reply today, category — in parallel, gated by confidence.

Support · 3d ago

dbreunig/building-with-jev-skill plus the official typesafe-ai skill teaches the agent to find where intelligent judgment replaces a fragile parser. It also points at applicable cookbooks in your code.

Code · 3d ago

The official console includes a resume-screening walkthrough. Criteria are explicit, with scores per skill and confidence to send uncertain cases to a human.

Recruiting · 3d ago

The official Playground ships three ready use cases: resume screening, audit a support agent's chat, and route a ticket. The audit is a Noul per policy violation + Score of response quality.

Support · 3d ago

arielweinberger/jev-autopilot is a Three.js city, not a tactical hover. Code writes a situation report (altitude, bearing, obstacles, tallest building on the path). Jev answers six questions: a Choice per stick axis plus commit-to-landing and cut-motors. A trip from pad A to pad B costs about a cent. Distinct from the MuJoCo X2 tactics demo.

Robotics · 3d ago

zephel01/Jev-sample: the same decision as a 4-option Choice vs. four precondition Nouls. 2,320 logged requests. Accuracy 48.3% → 98.3% just by changing the shape — TypeSafe's decomposition lesson, measured.

Demos · 3d ago

AnshChoudhary/typesafe-ai-firewall: 5 Nouls (injection, scope creep, exfil, irreversible, credentials) + blast-radius Score. Code decides ALLOW/APPROVE/BLOCK. Ablation: a single 'is it dangerous?' question blocked 39.2% of hard negatives; five Nouls, 0%.

Security · 3d ago

realZachi/pg-jev: jev() is a normal SQL boolean. SELECT * FROM people WHERE jev(people, 'the name is European'). 129 rows in ~1 s / $0.0009; re-thresholding is free because the result is cached.

Search · 3d ago

EdytaKucharska/ticket-quest: playful triage that compares Jev's typed decisions with an LLM prompt, ranking by Cost of Delay. The didactic case of 'why probability + code beats prose'.

Support · 3d ago

bahramzada/jev-taxi-dispatch does semantic routing of rides — destination, urgency, vehicle type, passenger constraints — as Choice + Score. Final matching stays in code.

Routing · 3d ago

ShivamPansuriya/jev-skill-gate: scores each installed skill against the project and writes skillOverrides. 12,750 → 3,185 tokens on a 217-skill install, for $0.0009. Eval of 20 labeled cases included.

Agents · 3d ago

jkudish/jev-browser drives a real headless browser. Jev picks the next click/type/select from the page's actual elements and scores whether the goal is met or the run is stuck. On live sites, not slides: Coffee → Espresso in ~4 s for $0.0016; filled a contact form and stopped without submitting; pulled a price off a live page.

Browser · 3d ago

timourxyz: for each sensitive decision by an online agent, Jev computes the probability of being scammed or injected and blocks crazy action. Compares with Muse's Sentinel, but editable and multi-context.

Security · 3d ago

Show HN: SOKIT (System One Knowledge, Instructions and Tools). It is a library for tool calls and iterative resolution using Jev, with a CLI and examples.

Agents · 3d ago

superagents-lab/jev-search: Jev chooses query, sources, and time window, then scores each result. Streams JSONL. Live at jev.s1.dev — only links and snippets, no generated answer.

Search · 3d ago

r/SideProject: ~10 questions in parallel (real problem, customer, demand, money, reach, differentiation, buildable, shareable). What would take 30–60 s of reasoning becomes an instant score.

Recruiting · 3d ago

standardagents/jevpilot: Jev receives compact tables of eligible paths, road bounds, nearby traffic, signals, and destination. The sim samples steering-and-speed combinations; Jev picks. Interstate 08: start in Millbrook, merge, cruise, exit into Cedar Town. Built in under an hour as a complete driving decision loop.

Robotics · 3d ago

Wizhill05/typesafe-image-diffusion asks 256 Choice questions at once, one per pixel on a 16×16 grid, each picking from a 16-color palette. Refinement passes show each pixel its previous color and 3×3 neighborhood. No diffusion weights — a classifier wearing an image-model trench coat.

Demos · 3d ago

Anthony Riera's Rankhog uses Jev to detect Reddit promotion opportunities — threads where a better post could outrank in Google / ChatGPT. Classification of thread quality and gap, not generated copy.

Ads · 3d ago

Netlify AI Gateway ships Jev with zero extra keys. Their changelog example classifies an incoming contact-form body to sales, support, or spam inside a Function — Choice over three teams, no JSON parsing. Usage bills to Netlify credits like any other gateway model.

Routing · 3d ago

Guangyu Robert proposed Jev as the missing primitive for Shortcut-style sheets: instantly classify, route, and format rows by meaning instead of brittle formulas. Fuzzy 'make this look like a CRM' without an LLM rewriting the cells.

Extract · 3d ago

zsoXi/agent-handoff-gate: before the lead accepts a worker's PASS/BLOCKED, Jev answers narrow questions about what the evidence actually supports. Exact checks stay in code.

Agents · 3d ago

leepokai/jev-guard provides auto mode for Claude Code, Codex, Copilot, Gemini, Cursor, pi, and OpenCode. It uses three questions (risk, user_requested, from_untrusted) with session memory, at about $0.00004 / tool call.

Agents · 3d ago

TokenTrim/jev-agent-failure-benchmark: 6,257 traces from Who&When Pro. Jev beat GPT-5.4 on who/when/what (error F1) for $1.28 total. A strong counterexample to the thesis that Jev 'only classifies simple things'.

Agents · 3d ago

lbotinelly/jev-little-airways: every ~1.6 s each plane asks route, emergency, response, and clearance. The tower asks landing order. Remaining fuel is a comparison in code, not in the model. ~150 ms per batched request.

Games · 3d ago

FirasSX914/calibre: 80.2% accuracy at $0.103 / 500 decisions on Banking77. AbdelStark/jev-benchmarks found 0.870 acc / 0.860 coverage with a 5% error budget on the same dataset — two independent evals in the same direction.

Routing · 3d ago

huntedman/JevLint: magic-strings plugin finds literals that should be constants (states, modes) and exempts UI text and paths. descriptive-names finds vague identifiers. Threshold 0.8. Does not suggest the rename — only flags.

Code · 3d ago

Near Here compared Jev with Mistral Small 4 and Gemini 3.5 Flash-Lite on messy local-event listings (pub quizzes, village fetes). 48/50 vs 42 and 43; none of 13 expected-valid events rejected; 0.59 s vs 2.90 s and 3.40 s; $0.043 vs $0.370 and $2.496 per 1,000. They tuned each model's prompt individually and published caveats.

Extract · 3d ago

upweight.vercel.app lets you re-rank the HN front page with sliders (technical depth, drama, purity, slop, novelty, controversy). Jev scores each story on those axes; code applies your weights. The front page becomes a function of your taste, not the default fire.

Search · 3d ago

kitze/unclutter is a Chrome/Firefox extension. Jev classifies nonessential page elements; the extension stores and reapplies local hiding rules by page template. Distinct from selector-list adblock: it learns a layout, then reapplies it without calling the model again.

Browser · 3d ago

Icohen007/jev-play-ping-pong: no pausing the game to infer. 124 decisions, 0 delayed actions, median latency 325 ms. Jev won 11–0.

Games · 3d ago

thruwire/foreman: a separate observation loop. Jev answers whether the worker is progressing, stuck, complete, or ready for verification — instead of believing the agent's own 'done'.

Agents · 3d ago

ChetasLua/jevmeter scores every sentence in a video: factual claim, evasive, contradicts self, emotional appeal, dodged the question — plus earnings-call, podcast, and sales-pitch presets. Held-out eval of the shipped presets: 99.0% accuracy, AUC 1.000. A full debate is about $0.05. Output is a 16:9 overlay you can post.

Moderation · 3d ago

opaielsheikh/ai-elo-ranker: Jev as a pairwise judge to rank model outputs. The 'who won' Choice + confidence feeds an ELO — a cheap judge for bake-offs.

Demos · 3d ago

AboveColin/HA-Jev: questions in configuration.yaml become entities — probability, choice with distribution, interpolated score. Four actions (noul, choice, score, ask) inside automations.

Home · 3d ago

droidrun/mobile-jev drives a real Android device through Mobilerun. Jev makes every decision; a live React studio shows traces and per-request latency. Recorded task timer: about 21 seconds for 9 actions. A completed booking is not claimed — the author is honest about the demo boundary.

Browser · 3d ago

raihankhan-rk/diffjury: paste the PR URL and get 9 questions in one call. They cover risk, review depth, whether it needs design/security, merge blocker, tests, docs, blast radius, and a verdict.

Code · 3d ago

r/LLMDevs write-up: Jev over gitleaks / GitGuardian-style buckets (embedded credential, vendor token, placeholder, redacted, public value). Plaintext passwords were easy; the hard misses were SCRAM verifiers, .htpasswd hashes, and strings like 'changeit'. Review band rose from ~6% to 30%; confident-wrong stayed at 0–1. 16/17 redacted/placeholder cases right.

Security · 3d ago

Charlyhno-eng/jev-document-classification: the most common shape — a Choice over a known set of document types, with confidence for review. Sibling of PadFlow route_document.

Routing · 3d ago

sorrycc/typesafe-snake: the engine generates legal moves and exact facts (food distance, flood-fill reachability, dead ends). Jev picks one with a single Choice per step. If the answer misses the tick deadline, the snake keeps going straight.

Games · 3d ago

ndolinschi/toolgate: three outputs for each planned tool call. Live demo. The 'code owns the policy, model owns the judgment' pattern.

Agents · 3d ago

devanshbatham/commit-miner (Rust): diffs and messages become bugfix, security fix with CWE, change type. Scans a local repo or GitHub URL, exports HTML/CSV.

Code · 3d ago

AbdelStark/heist-one is a browser stealth game: six museum guards, disguises, noise decoys, one artifact. Jev answers narrow questions (threat? suspicion? legal intent? who to watch) while a 30 Hz server sim owns physics, visibility, alarms, and win/loss. You are not fighting hidden scripts — you are manipulating what the guards have reason to believe.

Games · 3d ago

Dicklesworthstone/skillranker: ranks skills against the live session context, with local feedback and calibration. Sibling of skill-gate, focused on session rather than project.

Agents · 3d ago

brainstormity/Jev-Moderation-Bot: phishing, spam, and social engineering. Content + account age + links in parallel, then a 4-stage ladder (warning DM → final warning → timeout → ban) fed by confidence.

Moderation · 3d ago

tamaratran/fast-jev-compaction (700+ stars): replaces Claude Code's /compact. Jev decides keep/delete; what stays remains verbatim. Nothing is summarized — a file path or an exact error does not disappear.

Agents · 3d ago

opaielsheikh/typesafe-migration-guard: intercepts DROP TABLE/COLUMN and truncates without an index and responds 403 before touching production. The thesis: regex/AST breaks at the edges; semantic judgment does not.

Code · 3d ago

NiazMorshed2007/jev-review: local MCP with one jev_review tool. The agent keeps diagnosing; Jev delivers a scalar signal (correctness, complexity, tests, security) while the work happens. No hosted backend.

Code · 3d ago

sriganesh/jevibe-check: Chrome extension that labels posts and drafts in real time — heat, constructiveness, tension, sarcasm, clarity, intent. Custom filters, blur/collapse, cost tracking.

Moderation · 3d ago

reachjalil/jevlogs: scores a log's signal before sending it to expensive LLM analysis. The cheap model is the filter; the expensive one only sees what passed.

Security · 3d ago

0xNatoshi/jev-codex-router: each Codex turn, Jev classifies the work and picks the cheapest model that can handle it (luna / sol / astra) plus thinking depth. ≈ $0.00003 and ≈ 0.6 s per decision. A 7-day replay of 237 real turns: $349 vs $871 full-frontier (−59.9%). Fail-open if Jev errors.

Agents · 3d ago

CorieW/JevTest: bounded exploratory testing in a real browser. You supply a goal, fixtures, available actions, and exact success assertions. Jev chooses actions and judges observed results; Playwright executes them and saves replayable evidence. The demo runs 12 labeled flows with six planted bugs.

Browser · 3d ago

Friedjof/jev-mobile: a high-level task persists in SQLite; one worker runs observe → normalize → decide → mutate → verify against a USB-connected phone. Jev receives concise semantics and a catalog of technically valid actions — it never generates coordinates or MCP calls. Hardware-validated for notes, text input, crash recovery, and foreign-editor protection.

Browser · 3d ago

samtay32/jev-system-architect: skill that scans a design, finds semantic judgment hidden in prose, and turns it into Choice/Score/Noul primitives. Meta-tooling for the TypeSafe method.

Code · 3d ago

caiovicentino/jev-shield: stdio proxy between MCP client and server. Structural (allowlist), semantic (Jev), and session (taint) layers. 94% block recall, 0 false positives, $0.00002/check. Catches poisoned tool descriptions and .env leakage.

Security · 3d ago

mahlernim/jev-korean-benchmark: reproducible early-access eval of Korean comprehension and medical text, with runtime and cost. TypeSafe docs warn: English is the strongest language; CJK needs its own test.

Science · 3d ago

jomatsu/zod-jev folds TypeSafe questions into Zod 4 schemas. Shape rules stay in Zod. Judgments only a model can make — personal data in the body? price plausible for this item? category match the description? — become calibrated probabilities your code thresholds. One request per parse; adding rules barely changes latency.

Code · 3d ago

zsavage8/padflow-jev-evals: instead of an academic dataset, publishes the schemas the product uses — route a document, encode a QuickBooks transaction, classify import value. Above the threshold it posts on its own; the rest goes to a human.

Routing · 3d ago

kiarina/labs: 826 harmful Japanese texts — Jev missed 36, OpenAI Moderation 292. In English, OpenAI was ahead. On 134 shell commands, Jev labeled none of the dangerous ones as safe; regex missed 14.

Moderation · 4d ago

BunsDev/clarity-judge: hedging, em-dash, clarity, filler, tone, passive voice, actionability — each with a verdict and confidence. Demo without a key.

Code · 4d ago

Foadsf/jev-for-engineers: eight zero-dep examples — CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Each one ends in a decision in ordinary Python.

Extract · 4d ago

kostysh/goblin-hr is an HR-domain application using Jev for screening and routing of candidates and internal requests. It lives in the community's domain-apps cluster.

Recruiting · 4d ago

Kostas on X (30k views) lists SOC uses: rank hunts, score users/hosts/processes, and classify thousands of rundll32.exe. Also FP analysis of alerts, validating whether the alert supports the rule's behavior, shrinking timelines, and a continuous compromise score.

Security · 4d ago

STRML/omp-jevens-classifier: closes curl|sh, rm -rf /, dd of=/dev, mkfs, kill -9 1, nc -e. Finding: the native gate ranks pattern match above prompt rules, so the pattern rule never fires — Jev fills the hole.

Security · 4d ago

anisselbd/jev-phishing-bench: 2,000 PhishNChips emails. A single verdict Choice: Jev 62.6% vs Claude Haiku 4.5 81.3%, worse calibration, 5-point swing from wording. Five narrow Nouls plus logistic regression reached 95% (Haiku on the same signals: 93%) at ~27× lower cost. A measured limit, not a victory lap.

Security · 4d ago

devagrawal09/jev-review: Noul risk matrix → file profile → evidence selection → mechanism → severity → routing. The model reads the right hunk, not the entire diff. Local dashboard included.

Code · 4d ago

jarrodwatts/jev-trader: every ~300 ms it reads the Kuru MON-USDC book and asks buy/sell. Posts a post-only limit one tick inside the touch. Model latency ~81 ms, 2 RPC round-trips per block. Public demo at jev-trader.vercel.app.

Trading · 4d ago

browser-use/jev-ultrafast: the DOM becomes an indexed action space. Jev chooses the operation and the element in the same request; a small LLM only writes text when it needs to type. Zurich → London in 7.1 s for $0.0039.

Browser · 4d ago

wondertwins/jev-benchmark: chess is calculation dressed as judgment. With no facts, Jev = random; with 1-ply facts, ~78% above random, mate-in-one 24%, ~950 Elo. In compensation, 'who is the player talking to?' (NPC addressee) is in-lane.

Games · 4d ago

RomanSlack/jev-drone: Skydio X2 quadrotor in MuJoCo, camera only. Classical vision compresses depth into 5 sectors; Jev answers maneuver (6 options), risk, and whether the target was lost. Code flies at 50 Hz. ~110 calls in 65 s.

Robotics · 4d ago

PistachioAIHQ/jev-synergy-screening: include/exclude against Cohen et al. 2006 gold (N=851). Choice + atomic Nouls. 92% acc, 80% recall, ~$0.018 on N=200. README warns not to star the H2H-100 subsample.

Science · 4d ago

anessbelbati/jev-rerank-bench: 8 datasets, 1,617 questions. Jev 4-level rubric, 30 candidates in one call: nDCG@10 0.692 vs Cohere 0.691. $0.45 / 1,000 queries. Author reports a tie, not a win.

Search · 4d ago

r/LLM: the author forced generation by asking for the next token among 250 words, then a second Choice about which sentence reads better. ~1.3 s per word, ~1 cent per paragraph. Makes the point: Jev is bad at guessing a word and good at judging a sentence.

Demos · 4d ago

Official Cloudflare docs: env.AI.run('typesafe/jev', { state, questions }). Examples of urgency/department/frustration and structured refund. 32k context.

Support · 4d ago

awlevin/typesafe-computer-use: OCR + accessibility tree become state. Jev chooses the constrained action; a writing model only steps in for free text. $0.0002 per decision vs. $0.032 on Opus 5.

Browser · 4d ago

A community harness that used to script UO combat because LLMs were too slow now feeds the same game state to Jev every turn: attack, heal, loot, or hunt; which tile to stand on; which target is priority. Code executes. The author posted a video of decisions landing in realtime combat.

Games · 4d ago

Jev 1.13.0 on OpenRouter: 32k context, $0.042 / MTok input, free output. The Japanese community highlighted the fit for classification, routing, and judgment at a cost orders of magnitude lower.

Demos · 4d ago

aiidelist: the strongest case is not a chatbot, it is a harness — tool calls, retrieved context, model selection, prompt injection, response quality, whether another model's result deserves trust. Jev around the expensive model, not in its place.

Agents · 4d ago

aiidelist: classification, document screening, rerank, entity matching, moderation, feature extraction, and verification — short answers over thousands/millions of items. Paying for a generated paragraph is waste when code only wants a label.

Extract · 4d ago

kikoncuo/jevfire runs Jev-style parallel decisions for CUDA LLMs via vLLM. Measured 28 decisions in 497 ms — 10.3× faster than generating constrained JSON on Qwen3.8-27B-FP8. The same primitive, on your GPU.

Demos · 4d ago

TypeSafe positions Jev to scan giant corpora: classify agent traces, extract features, and find what matters. DataCamp cites the example of 50 million reviews scored for sentiment and policy violation — about $20 with Jev, versus thousands with a tokenized LLM.

Extract · 4d ago

ellipsis-dev/blink: an ensemble of walkers traverses the filesystem and Jev scores each node. Returns distributions like src/services/auth/login.ts 74%.

Search · 4d ago

Post on r/LLMDevs: personal knowledge app with recipe, scraper, meal planner, etc. agents. Vague Instagram transcript → scraper_agent (100%, 145 ms). Full transcript → recipe_agent (99%, 271 ms). Both correct.

Routing · 4d ago

Community PoC: stabilizes the screen, builds the short list of valid actions, and lets Jev choose one. Code executes. Same computer-use pattern — the model never 'sees' raw pixels like a VLM.

Browser · 4d ago

Community harness reads FireRed state from RAM and lets Jev choose the legal move or switch. Code advances the fight. ~$0.03 per run.

Games · 4d ago

youkiti/tiab-review-plugin does title and abstract screening for systematic reviews on 6 labeled medical datasets. It reports 95.0% recall on 16,645 records at threshold 0.3.

Science · 4d ago

Community Chrome extension: finds ad-like candidates in the DOM and asks Jev whether each is a paid ad before removing. Catches what selector lists miss.

Browser · 4d ago

A community integration exposes probabilities, choices, and scores as entities and action responses that Home Assistant automations consume. The model does not 'talk' to the house; YAML decides.

Home · 4d ago

Menu-bar switcher: on hotkey, Jev chooses among the 10 recent apps which one you intend. Any failure falls back to last-used. UX decision in < 500 ms.

Browser · 4d ago

zsh plugin: Jev chooses which recent command you are completing and shows the match with the probability. Code owns accept. ~0.8 s per request.

Code · 4d ago

kamchatka agent paints each pending command green/yellow/red: reads and reports, changes something reversible, destroys or sends something out. Jev on Score; the permission prompt is from code.

Agents · 4d ago

Supercov asks yes/no about each file and does the math in code. It turns weak points and coverage holes into tasks for the agent.

Code · 4d ago

A daily pipeline reads the BOE with one Jev call per disposition: impact score, topics, and an original paragraph chosen as the summary. Cost is about $0.01 per gazette.

Legal · 4d ago

Playground: Jev decides character, key, meter, and phrasing as enums. Deterministic code writes, records, and plays the notes. The model never emits MIDI — it only chooses.

Demos · 4d ago

Rust binary: JSONL of alerts in, five typed questions out as validated dispositions. Code, not the model, applies them. ~200 ms per alert.

Security · 4d ago

Local cybersecurity lab: synthetic telemetry accumulates and Jev returns compromise probability, classification, severity, and an advisory. The loop is IR, not chat.

Security · 4d ago

jevcal measures the model on private labeled data and fits per-question thresholds for a target accuracy. It fails CI if a model update drifts.

Code · 4d ago

A community MCP server exposes classification, scoring, checking, matching, screening, and custom-question tools. Any compatible agent can call them.

Agents · 4d ago

The AI Navigator: flag duplicate, miscoded, or out-of-policy line items, with confidence so the finance team knows what to auto-act and what to double-check. Classic Score + Noul per indicator.

Finance · 4d ago

saascity.io describes TypeSafe's SaaS-shaped demo: a paragraph of account state goes in, a set of typed fields comes out — including a churn-likelihood level. Code is what fires the playbook.

Support · 4d ago

Community fork dspy-typesafeify: a DSPy signature opts into Jev's typed inference with a decorator. Self-reported benchmark: ~15.9% faster and 30.1% cheaper on a ticket workload.

Code · 4d ago

saascity.io lists the shape that needs no poetry: 'is this transaction fraud?', 'which of the six categories is this document?', 'should this API call retry or fail?'. Bounded decision, high volume, malformed output = bug.

Finance · 4d ago

The AI Navigator: first pass over user text for policy violation, confidence deciding auto-action vs. queue. The same shape as the consistency-choice cookbook, applied to product.

Moderation · 4d ago

The AI Navigator: cheap classifier behind an agent that touches a codebase or business process, sanity-check before going live. Echoes pi-warden, firewall, and LangChain AutoMode.

Agents · 4d ago

Gaurav-Gosain/jev-sec-bench: 662 messages from the deepset/prompt-injections corpus, no threshold tuning. 96.5% accuracy, ECE 0.0588, 22.7 s for the batch. They found that telling the model 'what the assistant is for' helped more than tweaking the threshold.

Security · 4d ago

y0usaf/pi-jev is a gate with per-hazard thresholds — destructive 0.90, exfil 0.70. It also adds an output judge and a jev_ask tool so the model itself can request a judgment.

Agents · 4d ago

fhshaik/typesafe-mario: the emulator becomes object-centric JSON (positions, enemies, tiles). Jev chooses the next control macro. No frame is sent to the model.

Games · 4d ago

DevMortimer/pi-warden judges writes/edits against pi-warden.md and returns the broken rule in the agent's context. Across 150 paired runs: 6 breaks without the guard, 0 with it. About $0.00004 and 0.3 s per judgment.

Agents · 4d ago

GhalebDweikat/winnow: large Read/Bash/Grep become ~25-line blocks. One Noul per block: 'does this still matter?'. Only confident-no becomes a stub with a recall key. Error in the output? Hide nothing.

Agents · 4d ago

phyous/tsai-sc: the 1998 shareware runs in BottleShip. Jev chooses the command from structured state; mouse/keyboard execute. Attempt 16 reached the victory screen, verified visually.

Games · 4d ago

Nathan Flurry on X (643k views): Jev does not replace GPT/Claude. It is a very smart switch statement — classifies, routes, scores, ranks, gives confidence. Does not write code, does not reason out loud, does not go past ~255 options.

Demos · 4d ago

Dan Shipper (Every) sent 37 documents and 21 questions — 777 judgments in < 0.7 s for about a quarter of a cent. The metaphor: a linter for knowledge work, not just for code.

Demos · 5d ago

Every's suite: find the right file, navigate a codebase, look up company policy, evaluate support replies, flag risky actions, detect 'AI tells', rank pitches, prioritize customers, decide what needs the CEO, and which emails to answer today. It also simulates 100 people clicking an ad. 1,709 judgments for < 1 cent.

Demos · 5d ago

Every experiment: internal-policy retrieval. Jev scores passages against the employee's question and code chooses what enters the context of an LLM that will answer.

Search · 5d ago

Every: check texts against signals of generated prose. Jev as a style/authenticity linter, not a magic detector — one Score per dimension (hedging, generality, cadence).

Moderation · 5d ago

Every: ask 100 simulated personas which ad they would click. Jev returns Choice + probs; code aggregates. Synthetic qualitative research at a fraction of a cent.

Ads · 5d ago

Thread 'Introducing System One Models and Jev' — 1,876 points, 491 comments. A TypeSafe employee argues that explicit reasoning in code opens another alignment path. Several comments treat Jev as the new default for agentic systems.

Demos · 5d ago

ShupingR/scam-shield: code extracts facts it can observe (shorteners, risky TLDs, IP links, sender type). Jev answers eleven narrow questions in one call. A pure function combines judgments into a weighted risk score, with a floor so any single 90%+ red flag cannot be marked safe. On 16 labeled samples: 9/9 scams, 0/7 false alarms.

Security · 7d ago

qkal/Canny: refuses the agent's 'done' if the ledger does not show test/build/lint since the last edit. Deterministic hooks decide; Jev advises. Includes the case where Claude Code said 'Done. Skipped tests'.

Agents · Sep 11, 2026