Entries 97 to 144 of 204, in the hub's default order. The introduction is on page 1.
Showing 97 to 144 of 204
SO-101 robot-arm workbench with a Bun and Effect coordinator, a React workbench around Rerun, and a Python LeRobot hardware boundary. Its decision runner lets Jev, reached through the AI SDK evaluate API on Vercel AI Gateway, pick bounded joint steps under a spend cap, and chat and a decision run never move the arm at the same time.
Game of Thrones roleplay where a story model writes each scene and Jev reads it back, answering five questions in parallel: where Jon stands, the kind of beat, the danger, what should play under it, and whether the prose stayed inside the fiction. The header, soundtrack, artwork and next prompt are all functions of those answers.
Asks how far written category definitions get you before you need a labeled training set. On a 5,733-email ham, spam and phishing test Jev reached 98.64% against 98.87% for TF-IDF logistic regression. A separate 18,514-email spam run scored 98.3% against 98.4%, and averaging both reached 99.2%.
Emoji autocomplete that makes one Jev call per pause in typing: a Choice over up to 254 emojis, a Choice over eight emotions, three Scores and three booleans, answered in parallel in about 100 ms of model time per the README. TanStack Start on Cloudflare Workers through the AI SDK typesafe-ai provider, hosted on Whop, with a live demo at emoji-jev.whop.site.
Jev plays a browser table-tennis game in real time from structured telemetry, driving ordinary Chrome inputs and logging auditable decision evidence.
Reproducible eval harness and field note for a Jev Ultrafast research-browser session: 11 baseline cases, human and quant stress suites, QC grades, a suite runner and a report generator. It drives an upstream checkout of browser-use/jev-ultrafast at a pinned commit rather than forking it.
Proof of concept that identifies Spanish profanity with Jev and replaces the matching word intervals with a beep without changing the audio duration. Word timestamps from an ASR adapter feed parallel Jev evaluations for a Boolean profanity probability and a severity Score, then ffmpeg overlays the beep and writes a JSON audit report.
Benchmarks Jev on the 6,257 text traces of the Who and When Pro agent-failure-attribution set, predicting the responsible agent, the decisive step and the error type. Scored with the official whowhen_eval scorer against the paper's LLM baselines, at about $1.28 for the full run.
Two blind security benchmarks for Jev on public corpora: 662 labelled prompt-injection messages and 200 matched vulnerable-code pairs, run through jev-go with raw per-sample output committed. At a plain 0.50 cut the injection run reached 96.5% accuracy, ROC-AUC 0.9927 and p50 325 ms.
Experimental full-game harness where Jev plays the original Civilization II in a browser, displaying live action probabilities.
A fire evacuation simulation that rebuilds a Jev-style typed decision engine on local LLMs, then runs a per-person evacuation model on top, comparing it against a chat-model baseline on the same fire scenario.
A fork of the Needle Chrome extension that finds webpage passages by meaning, swapping its hosted Jev calls for Laya running locally so no API key is needed.
Turns Jev, a decision model, into a character-by-character text generator by repeatedly asking it to pick the next character from the vocabulary.
Jev plays Minesweeper, picking each move as a typed decision instead of generated text.
A frozen 64-case benchmark of Feishu-style workplace messages, scoring Jev and Laya on a single choice question and on a four-question workflow. Jev scored 100 and 98.44 percent correct, Laya scored 31.25 and 28.12 percent, on the same requests.
Compares GLiNER 2.5, GLiFormer, GLiClass, Laya, Von and Jev on zero-shot information extraction and classification in one web UI.
A coding-agent CLI that splits work between a decision model, Jev by default or self-hosted Laya, which only picks the next tool and scores progress and risk, and an OpenAI-compatible LLM that fills in the tool arguments.
Zero-shot classification benchmark across four datasets: Jev leads decisively on topic tasks, and Laya's advertised edge over Jev does not reproduce, tying on emotion and trailing elsewhere.
Pong where the ball moves one segment per model decision, so a lane's speed is that model's latency and nothing else. Four lanes replay a recorded run with Jev, Gemini 3.8 Flash, Claude Haiku 4.5 and GPT-5.6 Sol on the right paddle, every player and agent on an Ably channel.
Measures how well Jev spots real secret credentials in file snippets. Each case is one Noul question and the probability is compared with the expected label, with no regex matching or provider verification. Reports accuracy, AUC, recall, precision, Brier score, review-band counts and latency.
Paste an email, Slack message or memo and get rustc-style diagnostics back. A plain lexer finds phrases and their line and column positions, then one request to Jev scores dimensions such as passive aggression, unnecessary urgency and how much actual information the text carries.
Multiplayer triage dashboard for public GitHub repositories, where a System One model answers a fixed set of typed questions per issue: what kind, how severe, how urgent, whether it duplicates another, and what a maintainer should do next. People correct the answers, corrections are shown back on later runs, and nothing is written back to GitHub.
Three.js drone simulation with a typed Python and FastAPI backend where jev-latest chooses each navigation action. The Choice distribution, Noul obstruction estimate, confidence, latency and the exact model input and output are visible beside the flight.
Desktop Snake where Jev assesses the board and Python combines the answers into a move, one API call per game tick. One recorded run reached 29 foods in 461 ticks before trapping itself; the agent spots immediate hazards but does not plan a route.
Minecraft Java player controlled by Jev, with live decision display, a Canadian flag building task, and a side-by-side dashboard.
A Jev-based model-routing experiment for Codex tasks that the author now recommends against adopting: in a Pokedex benchmark, the Jev-routed team cost almost as much as running the top model alone and missed the time limit, while the single-model run finished and passed all checks. Code and results are public as a negative benchmark.
An interactive Chicago traffic simulator comparing three signal policies on the same scenario: fixed timing, adaptive queue-based signals, and a citywide policy from Jev.
Tests whether a System One model can steer music: Jev picks the musical plan using fixed options only, and separate code renders the sheet music, audio and MIDI.
Browser fighting game with 21 satirical world-leader fighters, where the AI opponent's moves run on the Laya decision model client-side via WebGPU.
Machine client that browses HAL hypermedia by choosing the next link from what a page's ALPS profile declares, using Laya-MLX to pick among the server-offered affordances.
A natural language interface for maps: type a query like a coffee shop within 5 minutes of the aquarium and Jev scores nearby OpenStreetMap places by probability. The interactive demo runs on prerecorded responses; the source is open to run locally with live data.
An open-weight Laya model plays Breakout live on Windows, choosing each paddle move as a single choice question at about 70 decisions per second on an RTX 5080, with no planner or safety shield.
Adaptive model predictive control guides and vetoes a Laya decision model piloting a lunar lander. Laya alone lands 0/90; with MPC's veto it lands 90/90 through a 60% engine power loss.
Screenshot-to-action game agent for Hordes.io: Qwen plans from screenshots, Laya makes the typed real-time decision, and Apple Vision OCR reads the screen, all running locally on Apple Silicon.
A zero-shot benchmark of Jev, self-hosted Kev-9B and self-hosted Laya on 171 Moroccan Darija reviews in Arabic script and Arabizi. Jev scored 79.5 percent accuracy, Kev-9B 71.9 percent, and Laya 53.8 percent, tying an always-positive baseline.
A 322M-parameter Laya checkpoint plays a Pac-Man-inspired game on Windows with CUDA, using typed decisions and live probability output.
A simulated Swedish villa energy system compares Laya's live one-minute decisions against a naive charger, a tariff-aware controller and an optimal plan, cutting the naive controller's bill from 985 to 530 SEK.
A live tone checker that scores a draft message with Laya as you type: a choice question for tone, a score question for formality, and a noul question for fight risk, answered in 40 to 110 ms per check.
roisol144OpenBefore You Send on github.comA guide-directed leveling agent for a private World of Warcraft: The Burning Crusade 2.4.3 server, built so it gets cheaper to run the longer it plays.
chalkychalk42Openchalkychalk42/jev on github.com
A self-hosted app that runs VirusTotal data on IP addresses, domains and file hashes through Jev, Von and Laya so you can compare the models against each other on the same labelled dataset.
hc-nolanOpenIOCArena on github.comCompares Jev with Laya before and after task-specific fine-tuning across Banking77 and five other public workflows, plus a chat-moderation study. Fine-tuning raised Laya's Banking77 accuracy from 51.3 to 79.4 percent, close to Jev's 80.0 percent.
Alexander-OllmanOpenJev vs fine-tuned Laya on github.comBenchmarks Jev against Laya on 14 PostgreSQL statements with deliberately planted bugs, scoring which model catches more of the SQL defects.
Collects job ads from two Danish job sites, filters them against a candidate profile, and ranks the rest with a multilingual Laya model answering nine typed questions per ad before printing ranked tables.
Atari-style lunar lander simulation with a CUDA-trained Laya checkpoint that lands 30/30 held-out flights locally on Apple MLX, plus a browser flight recorder.
Chromium extension that flags AI-slop writing style on X, LinkedIn and Reddit using a local Laya-MLX helper for detection.
Code-Wizard-WilsonOpenSlop Finder on github.com
Measures whether Jev reranks two Finnish legal corpora better than Voyage, GPT-based rerankers and open-weights Laya over identical shortlists and questions. Batched Jev reached 97 percent recall at 1, matching the shortlist ceiling on the MuPLeR-fi corpus.
A replayable grid warehouse simulation where Laya answers action, collision_risk, path_blocked and needs_operator questions for a robot navigating toward a loading bay, layered above a deterministic safety shield it cannot override.
senthilr-nvOpenLaya Warehouse Safety on github.comA browser automation agent written in Go that drives a real Chrome instance over the DevTools protocol, using Jev to decide each action, built to measure real-world speed.
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