Updated
Lightpanda's hostel script counts browser memory, and the Jev clock stays in the post
Lightpanda posted that 129 of its browser agents fit on one laptop against 12 Chrome agents, with 11 times less memory on a booking site, and that a hostel task took 6.7 seconds with Jev against 14.1 seconds with gemini-3.8-flash. The linked script measures resident memory and does not call a model. Its notes for the default San Francisco hostel page are 161 MB against Chrome at 1,654 MB.
On Ámbar Reflex the 4B logit player went further than the more accurate 9B
Abel Coronado's local server plays an original run-and-gun with six typed questions and no generated text. Qwen3.5-4B at 8-bit on an RTX 3060 advances 24.9% of the level in 408 ms a decision. The same size model writing JSON advances 10.3% in 1,041 ms. Offline, Qwen3.5-9B is right on 82.7% of 554 labelled decisions and reaches 17.5% when the clock is running.
dejevu books the same Flights search faster than the published Jev demo, on another machine
Idov Mamane posted dejevu, an MIT browser loop that sends one JSON action to an ordinary chat model. On the README's table, llama-3.3-70b on Groq finishes the Flights check in 5.63 seconds against jev-ultrafast's published 7.09 seconds. The Jev column was not rerun here. That Groq route costs more per run.
Exa posts a demo that puts web results into Jev's state
Ishan Goswami posted a demo at demos.exa.ai/jev-web-context. The post says Jev without web search is confidently wrong, and Jev with Exa results is more accurate. The page we loaded lists seven yes/no prompts and does not print a before-and-after. Diogo Almeida quoted the post and asked if it was real.
jev-rubiks asks Jev when to speak, after a test where picking moves did nothing
maxlibin/jev-rubiks is an MIT browser cube. Kociemba solves it in code, in about 20 ms. Jev only decides whether the coach should talk. The README says a removed experiment let Jev pick among 18 turns, forty times, and the scramble distance stayed at 22, the same as a random walk that went from 22 to 21.
A Hold'em table asks Jev about the opponent and lets code pick the bet
A September 22 post links Jinzhengxu/poker-table and says each action averaged 545 ms and a hand cost $0.002. The README's Jev path is one round trip about the opponent, after a local equity table. A 46-spot bank, three repeats, is described at about one second median. Those two clocks are different measurements. Opened September 30, the live table was waiting for a hand and the Jev panel was not configured. The page does not print 545 or 0.002.
Jev macOS Loop clicks native Mac windows; Finder sorted nine files in 7.39 seconds
Josh C. Simmons open-sourced a computer-use loop for Apple silicon that keeps pixels on the Mac and asks Jev only over observed controls. A Finder demo moved nine dummy files in three group drags in 7.39 seconds, with a separate verifier checking locations and hashes.
Aman Kumar ran about 16,000 Jev calls and called it a filter, not a classifier
Aman Kumar compared Jev with gpt-5.4-mini and gpt-5.6-luna on four public sets, then on production page gates and an inbox. On short text it tied or led. On a whole-page read it fell apart. He published the public cases and per-item answers.
Jev scored 384 morning headlines in 25 seconds; Opus 5 finished four
Elvis ran a morning Google News wire through Jev and Claude Opus 5 at the same time. Jev tagged 384 headlines for 15 brand desks in 24.9 seconds at $0.19. Opus got through four headlines and cost $0.77 before the run was stopped.
A hybrid Jev overlay sped up Postgres joins 12% on JOB, and made the planner slower
Michael Malis asked Jev to help plan Postgres joins on the join order benchmark. Letting it pick the join order made queries twice as slow. Estimating filters, then overriding Postgres only when Jev was confident, improved geometric-mean time by 12%. On September 30, 2026 this desk timed a 100,000-row table on Postgres 18.6. A Jev call of about 900 ms dominated queries that took 0.15 ms to 7.7 ms. The 12% figure was not rerun.
SREGym put Jev on a Codex agent: 24 passes out of 50, up from 20
Jackson Clark's team wired Jev into SREGym-Lite as a test ranker and evidence reviewer on a Codex agent that still diagnosed and repaired. With gpt-5.6-luna, the Jev-assisted agent passed 24 of 50 attempts against 20 without it. Two problems got worse.
Browser Use wires Jev into the click loop: 7 seconds, $0.0039
Gregor Zunic showed a 1x-speed Google Flights run where Jev picks the action and DOM target each step, and a small LLM types only when it has to. On September 30, 2026 a desk loop on three routes never left the Google Flights start page, so date, price, and flight number were not confirmed there.
Bryo ran 1,565 business emails: Jev at 96.4%, Gemini a point or two higher
Nikhil Mudholkar, CTO of Bryo AI, routed 1,565 German and English supplier emails into 10 categories. Jev scored 96.4% against Gemini 3.5 Flash-Lite at 97.5% and Gemini 3.8 Flash at 98.5%. Jev was about 10 and 22 times cheaper per thousand emails, and its high-confidence band had no errors on this set.
Stagehand, Chrome, and a11y trees: computer use as a Jev question
Kyle Jeong of Browserbase and other builders structured computer-use around structured observation, typed queries, and automated execution, reporting sub-cent task costs. On September 30, 2026 the same task reached the Jevons paradox article on Wikipedia and stopped short on DuckDuckGo and Britannica.
Tetris as a legal-move test: Jev picks from the landings you give it
Two independent demonstrations evaluated Jev playing Tetris from enumerated legal placements, comparing latency and costs against Claude Haiku 4.5 and Gemini 3.5 Flash-Lite.
One builder ran Jev on 1,500 of his own emails
Ryan Vogel posted a long clip of Jev classifying his mail. The sample size is real; the accuracy number is not in the post. Parallel calls were the part viewers argued about. On September 30, 2026 this desk scored 30 fictional messages on jev-1.13.0. Precision and recall were 1.0 in each of five classes. That set is not his mailbox.
A buy-or-sell every Monad block, with a mock default model
Jarrod Watts demonstrated a trading bot querying Jev for buy or sell decisions on each Monad block. The open-source repository runs in dry-run mode by default.
JevPilot is a playable driving sim that asks Jev which path to take
Justin Schroeder wired Jev into a Three.js driving simulator in under an hour, then open-sourced JevPilot the next day. The model sees compact tables of candidate paths, not pixels. Requests run up to four times a second in traffic. On September 30, 2026 a headless run of that simulator, jev-1.13.0, reached the town and city arrivals with no collisions and stopped both highway drives at a 240 second cap.