This is f*cking wild: people built all of this on Jev in five weeks
if you have API access and don’t know where to start, copy one of these:
jev-ultrafast - a browser agent that picks every click itself and calls a small text model only when it has to type. a Google Flights search from Zürich to London in 7.1 seconds. 23.4k stars
https://t.co/QuXLmNQcF1
tax-doc-classifier - sorts pages across 261 IRS forms for about $0.001 a page, which the author measures at 34x cheaper and 6x faster than the Sonnet setup it replaced. 505 stars
https://t.co/LkiR61i6r1
jev-drone - a simulated quadrotor flies a five-station obstacle course from its camera alone, with Jev making a tactical call 2.5 times a second. it got 77.5 m down the course, against 17.7 m without Jev
https://t.co/uP4SAD8kFT
typesafe-chess - chess where every move is a Jev decision. one call per move loses about 170 centipawns a move on average. put a search on top and it drops to 25
https://t.co/crzaW2KwCo
pg-jev - a PostgreSQL extension where you filter your own tables in plain English: SELECT * FROM people WHERE jev(people, ‘the name is European’). a 129-row table cost about $0.0009 the first time and 6 ms from cache
https://t.co/xJTqYqhS6N
jev-curate - streams Parquet and JSONL rows through Jev and keeps only what clears the bar. the README claims 1,500+ rows a second at about $4.20 per 100M tokens
https://t.co/Y2eyrlnf8i
killmyidea - describe your startup idea, Jev scores it on a handful of plain questions and hands back kill it, fix it or ship it
https://t.co/cQ113cIfCC
jev-trader - one buy-or-sell decision every ~300 ms block on the Monad order book
https://t.co/ZXeOzS5zDJ
jev-doom-agent - real Chocolate Doom compiled to WebAssembly, two engines on the same map, Jev choosing the tactical macro
https://t.co/Itgfre75QR
jev-t-rex-runner - the Chrome dinosaur game, played by Jev picking jump, duck or keep running
https://t.co/gjJNZxaQR0
almost none of these write a word. they return a pick, a score or a yes/no against answers someone defined in advance
run the three-question test from the article before you build an eleventh
I gave my Grok Bot $850 and one task: "make it 2x, or i'd cancel my subscription"
18 hours later: $4,310. That's 5.07x.
It never asked for more capital. It asked for the next rate print.
The loop it ran: scan Binance + Bybit + Hyperliquid funding on SOL & ETH -> filter only when net gap > 0.14% after fees -> size 38% of current wallet on the short leg, hedge the long -> exit the second the gap compresses or funding flips -> recalculate size off the new wallet
Timeline:
Hour 0: $850
Hour 3: first fill, $1,020
Hour 7: skipped 41 setups, $1,340
Hour 11: sized up after three green, $2,180
Hour 15: worst print -$210, back positive in 19 min
Hour 18: $4,310
47 fills. 39 green, 8 red. Average size started $320, ended $1,640.
Biggest single loss recovered in under 20 minutes.
GROK BOT CAN ASSIST WITH YOUR MORNING AI NEWS SEARCH. PROVIDE IT WITH THESE 7 GUIDELINES.
Locating the initial announcement, identifying who benefits from the feature, and uncovering the limitations requires time.
This is the summary I would give to grok bot
1/ task: gather significant AI updates from the past 24 hours.
2/ sources: official announcements, documentation, and release notes.
3/ filter: clarify what has changed, who receives it, and eliminate duplicates.
4/ evidence: provide the source, date, and any unverified information.
5/ output: up to three summaries and one X post draft. skip days with no updates.
6/ limits: no publishing or fabricated claims.
7/ schedule: one morning summary. log sources to prevent repeats.
Run a test before setting it on a schedule. Verify the links and review the draft yourself
the video expands this into 21 checks. save it and copy the brief.