
Model router built with Jev (X)
Demo in which Jev decides which model should serve a request before the request is forwarded.
Entries 49 to 96 of 201, in the hub's default order. The introduction is on page 1.
Showing 49 to 96 of 201

Demo in which Jev decides which model should serve a request before the request is forwarded.

A Swift package for local computer use on Apple Silicon that reads a form through the Accessibility API and asks a small on-device model what belongs in each field. Its Laya integration runs FluidInference's Core ML port of Laya on the Neural Engine at 3.7 ms per decision on an M5 Pro, about seven times faster than the upstream GPU figure.
114k viewsPer decision 3.7msSpeedup ~7x faster

A chat bot that uses Jev to pick which tool to call, such as web search, Wikipedia, weather, Todoist or Home Assistant, and what arguments to pass, with no general-purpose LLM in the loop.

A video demo replaces an LLM's tool-calling decision step with Jev, exploring how voice agents could act on partial speech before the user finishes speaking, aiming for lower latency and cost than running an LLM at each step.

A video demo of Jev orchestrating a 3D character's mouth, brows, eyes, cheeks, gaze, and body, ten decisions per message composed live into one reaction with no preset expressions, built for the Mutuals project.
112k viewsDecisions/message 10

Open source tool that scores every turn a coding agent takes against project rules that can't be codified into a linter, using Jev, then tells the agent what to fix.
112k viewsRule breaks 1 in 13 turnsPer check ~300 ms

Builder reports that an MLP trained on top of Qwen 4B works like Jev for typed decisions, and links the weights on Hugging Face as openjev.

Jev scanned thousands of Zillow listings and classified them by traits Zillow's own filters do not expose, such as architecture style, renovation status and proximity to freeways, in under 20 seconds for $0.18.
107k viewsScan cost <20s, $0.18

An open source library that takes any Hugging Face model and gives it Jev-style structured decision output through an API endpoint, including vision models.

Explains how to replicate Jev-style probability output on other open models using sglang's /v1/score endpoint instead of /generate, demonstrated on a new deepseek-v4.1-flash-jev endpoint that needs a closing think tag to force a direct answer.

A video demo feeds Jev 3 million session-replay events. In 40 seconds it watched 3,247 sessions, caught 132 rage clicks, 116 dead clicks and 95 JavaScript errors, and opened 213 draft pull requests to fix them, for $2.17 in total.
101k views3M events 40s, $2.17

Paste a URL and jev-1.13.0 decides how to rebuild that website as a native iOS or Android app, which their shipper tool then submits to the app stores.

OpenRouter and TypeSafe's hosted router, typesafe/jev-router, uses Jev to pick the model and reasoning effort for each turn and avoids switches that would lose the cached conversation. OpenRouter reports it solved 237 of 423 agent tasks against 130 for its own Auto Router.

Public Convex-backed demo inviting a million judged questions instead of generated answers.

Describes 7 SEO/GEO workflows built on Jev: scoring competitor pages, flagging on-page changes for citation, matching buyer questions to pages, rating citation likelihood, sorting search terms by buyer intent, mapping internal links and verifying AI-written pages before a human sees them.

A browser fighting game where you play against Jev, TypeSafe's decision model, from the keyboard on desktop or mobile.

Compares packaged snacks for kids across brands, sorted by sugar content and filterable by age, allergen and category. Jev scored 3,000 snacks against multiple criteria in 28 seconds for $0.11.
92k views3,000 snacks 28s, $0.11

A video demo adds Jev to the AI Hedge Fund project, using it to backtest trading decisions after setting a strategy and picking tickers, running the process in seconds rather than minutes.
91k viewsSpeed 100x faster

Jev scored 3,282 of the poster's X posts, covering 100M views, on 8 questions each about topic, hook and tone, for $0.1282 and 8m34s total. How-to posts got a 150 median likes versus 44 overall.
88k viewsTotal cost $0.1282Run time 8m 34s

Technical breakdown of schema-constrained output, RLCD, the Doom and Wikiracing demos, and pricing. Lists limits including the 255-option cap on Choice and the absence of public benchmarks or released weights.
85k viewsLatency 70-500 msChoice cap 255 options

A browser extension that hides or collapses X posts by a natural-language rule, using Jev to judge each post fast enough that the filtering is not noticeable while scrolling.

Find Reddit buyer intent and see what every lead's data cost.
84k viewsThreads scanned 4,000

A Chrome extension and small web app that find sponsor reads in a YouTube video's transcript using Jev, then skip or flag them; needs a TypeSafe key and, for some modes, a Deepgram key.
82k viewsTranscript mode under 1 cent/hrListen mode ~$0.46/hr

Ran 14 yes/no questions per post, such as whether the hook opens a loop or whether a claim is proven, over 100,000 X posts in 20.4 seconds for 67 cents, then compared which hook types actually beat the viral baseline.
82k viewsFull run 20.4s, $0.67vs Opus 5 per post ~680x cheaper

A video demo of Jev playing Tetris in real time, with the model's response speed fast enough to push blocks down during play.

A Cline plugin, installed from its desktop app's plugin marketplace, that gives Jev a background Chrome browser to complete tasks; needs a Vercel AI Gateway API key saved to the plugin's config file.

Video Tetris benchmark: Laya-MLX runs fast on a MacBook at about 84ms per decision but loses to Jev in all three rounds.
73k viewsLaya latency ~84 msResult Jev won 3/3
A video demo of a calorie-tracking app kitze built with Jev.

A personal research dashboard where Jev labels saved X posts across 8 dimensions, including topic, hook and writing style, so the poster can filter and compare engagement. 1,315 posts cost about $0.086 in estimated model cost.
70k viewsCost ~$0.086Posts labeled 1,315

A video demo of browser automation combining Jev with Stagehand: the page's accessibility tree is sent as state, Jev answers which action to take next, and Stagehand executes it. One task cost $0.001 and ran at near-instant speed in a remote browser.
69k viewsCost per task $0.001

Walks through the launch video, why decision models need to exist, and how they differ from LLMs in use. 15 minutes.

An open source framework for running end to end tests with agents, built with Jev, covering web and mobile targets.

Tests Jev on the creator's own inbox, classifying 100 then 1,000 emails by category, priority, spam and reply-needed at around 200ms average response time. Ends by checking the actual bill.
67k viewsAvg response time ~200 msSpeed claim tested ~200x

A video demo of the Ego Lite shopping agent using Jev with DeepSeek Flash, completing 20 Amazon product decisions in 3.71 seconds versus 54.45 seconds for GPT-5.6 Sol, with the same result on both runs.
63k viewsJev run 3.71s / 20 itemsGPT-5.6 Sol run 54.45s

A video demo benchmarking Jev running 500 real-time agents in parallel inside a 3D environment, reporting 500ms average latency and 35 API calls per second with an unoptimized, naive implementation.
61k viewsAgents 500Avg latency 500 ms

A video demo introduces AgentRun, an agent harness built with Jev that learns how to perform a task, writes itself a general solution, and then steps out of the loop.

A video demo classifies 100 test emails, 50 legitimate and 50 fraudulent, with Jev in 1.42 seconds, routing the 31 cases below 95% confidence to Kimi K3 for a second opinion. The combined pipeline reached 96% accuracy for about $0.07 total.
60k viewsJev pass 100 emails, 1.42sCombined accuracy 96/100

A video demo of a prototype that feeds a live clinical consultation transcript to Jev, which traverses a medical ontology to classify symptoms, update the differential diagnosis, suggest treatments, and flag red flags in real time.

A live viral-post analyzer built with Jev: it scores viral potential and categorizes a tweet as the user stops typing, shown here as an early, in-progress demo.

A single prompt pulls about 100 reference images from Cosmos, NASA and The Met using Jev, shown as a video demo of the tool.

A video demo of a TSLA 50-day moving-average trading rule with Jev in the judgment layer: real API calls return typed answers, and the author's code decides the action from there.

A short video demo of an agent whose model router is powered by Jev; the post text gives no further detail on how the routing itself works.

A video demo of jev-review, an experimental local-first MCP plugin that scores a coding agent's work against quality metrics; the agent calls Jev, gets scored, makes improvements, and repeats the loop.

A video demo tests Jev as a real-time control policy for a robot arm in MuJoCo, splitting each update into two calls: one to decide the next action, another to decide how to move the arm and gripper. Jev receives simplified geometry and contact data as text rather than images.

A leaderboard that runs Jev and 54 open System One models and clones through the same 120,000-question suite on one RTX PRO 6000, scoring accuracy and calibration. Jev leads the 0.2 edition at 51.67 on a chance-corrected scale, with AutoJev-27B close behind at 50.94.

A video demo shows background auto-fill buttons built with Jev integrated directly into an app's UI, contrasted with slower LLM-based alternatives.

A video demo of a logic interpreter built to compensate for the fact Jev cannot reason on its own: it runs a logic language whose facts and rules are written in plain English.

A video demo pits Jev against GLM 5.3 at chess: GLM won by checkmate in 29 moves, with Jev responding in about 0.3 seconds per move versus GLM's 5.8 seconds, for a total game cost of 24 cents.
39k viewsJev per move ~0.3sGame cost 24 cents
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