Entries 49 to 96 of 130, in the hub's default order. The introduction is on page 1.
Showing 49 to 96 of 130
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.
CJ (Coding Garden) (@CodingGarden)114k viewsOpenA chat bot that picks tools with Jev, no LLM (X) on x.com
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.
Joao Bortotti (@john_bortotti)OpenLive 3D character expressions (X) on x.com112k viewsDecisions/message 10
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.
Justine Moore (@venturetwins)OpenA natural-language search for Zillow listings with Jev (X) on x.com107k viewsScan cost <20s, $0.18
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.
Taras (@tarasshyn)OpenSession replay to bug fixes (X) on x.com101k 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.
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 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.
Virat Singh (@virattt)OpenAI Hedge Fund with Jev (X) on x.com91k 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.
Ian Nuttall (@iannuttall)OpenJev scored 3,282 X posts for what drives growth (X) on x.com88k viewsTotal cost $0.1282Run time 8m 34s
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.
Marcel Pociot 🧪 (@marcelpociot)85k viewsOpenA browser extension that filters X posts with Jev (X) on x.com
Reports using Jev in place of smaller models on a security pipeline, citing over 5x lower cost, faster responses, and much higher accuracy.
Greg Pstrucha (@grichadev)OpenJev inside a security pipeline (X) on x.com83k viewsCost vs prior model 5x lower
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.
Movez (@0xMovez)OpenA viral post analyzer for 100,000 X posts (X) on x.com82k 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.
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.
Yum⋆₊˚ (@yuhasbeentaken)OpenA research dashboard for X posts labeled by Jev (X) on x.com70k 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.
Kyle Jeong (@kylejeong)OpenStagehand browser control with Jev (X) on x.com69k viewsCost per task $0.001
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.
ego (@ego_agent)OpenEgo Lite shopping decisions (X) on x.com63k 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.
Cris Lenta (@crislenta)OpenFive hundred agents in a 3D environment (X) on x.com61k 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.
Hassan (@nutlope)OpenEmail fraud detection with Jev and Kimi (X) on x.com60k viewsJev pass 100 emails, 1.42sCombined accuracy 96/100
OpenRouter benchmarked Jev with its Ori Eval judging harness against popular LLMs and found Jev over 5 times faster than the next fastest model, with its slowest requests still beating every other model's median.
OpenRouter (@OpenRouter)OpenOpenRouter benchmarks Jev's speed against other models (X) on x.com60k viewsSpeed vs next model >5x fasterJev median latency 154 ms
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.
Chris McMaster (@rheum_ai)57k viewsOpenLive clinical-transcript classification prototype (X) on x.com
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 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.
Hassan (@nutlope)OpenJev vs. GLM at chess (X) on x.com39k viewsJev per move ~0.3sGame cost 24 cents
Argues that the purely engineering decisions inside security workflows belong to a typed decision model like Jev rather than a chat model.
Kostas Tsale (@Kostastsale)OpenRethinking security engineering with Jev (X) on x.com34k viewsSpeed and cost x200
A video demo combines OCR with Jev to build an image classifier that categorized about 900 images in 40 seconds.
Fayaz Ahmed (@fayazara)OpenOCR-powered image classification (X) on x.com34k viewsThroughput 900 in 40s
A demo of a general-purpose browser skill where an agent is given a site and a task, and Jev decides every click based on what is on screen.
AI Builder Club (@aibuilderclub_)33k viewsOpenJev-browser, a general browser skill for agents (X) on x.com
A video demo of a per-page PDF router built with Jev that decides which pages need OCR and extracts the rest locally, aiming to cut both cost and processing time.
A video demo runs 6502 CPU emulation directly on Jev, executing short programs in real time with no speed-up, though the output occasionally diverges from a reference emulator.
A video demo rebuilds a job crawler with Jev: the model finds a company's careers page, chooses which links to follow, recognizes job postings, and scores each role against the user's profile, cutting the task from about 5 minutes with an LLM to about 20 seconds.
25k viewsBefore (LLM) ~5 minAfter (Jev) ~20s
A Clippy-style assistant that watches product usage and only appears when Jev judges the user is hesitating, confused or stuck; Jev also drives its reactions.
Given a dataset of outreach messages, Jev found which intent signals correlated with the most booked demos in 40 seconds for under $0.20; the poster says it can also rank leads and measure prospect-message fit.
Pierre-Eliott Lallemant (@pierreeliottlal)OpenFinding the intent signals that book demos with Jev (X) on x.com22k viewsTurnaround 40sCost <$0.20
A video demo of Jev tagging X posts in real time as breaking, a golden nugget, or slop.
A video demo uses Jev to filter out low-quality reply comments on X that the platform's own filters miss, built in about 5 minutes with Astra and an API key.
Ian Nuttall (@iannuttall)OpenFiltering unwanted X replies (X) on x.com18k viewsBuild time ~5 min
A video demo shows Jev-thoven, a system built on Jev, composing an entire two-minute song from first principles.
A video demo of controlling Figma with voice commands routed through Jev, with a total cost of $0.01 from first line of code to the recorded demo.
A video demo of Bannerbear using Jev to map template fields such as photo, name, and company name to differently named data source fields such as avatar, full name, and business, in one click.
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