REAL EXAMPLES. REAL DECISIONS.
Explore real-world use cases, projects, patterns, and code examples showing where Jev makes the decision.
A curated selection of projects that show Jev at its best.
A browser agent where Jev selects an operation and a compatible page element from a live indexed action space.
What Jev decides
Which supported browser operation to run, and which compatible visible element to target
Prune stale coding-agent tool history without rewriting the context that remains.
What Jev decides
Whether each old tool call and its result should remain available.
A native macOS computer-use loop built from local OCR, accessibility data, and bounded Jev actions.
What Jev decides
Which computer action, visible item, site, or off-screen accessibility control to use next.
A Jev autopilot flies a simulated drone across a generated Three.js city and lands on a target pad.
What Jev decides
Throttle, yaw, pitch, roll, whether to commit to landing, and whether to cut the motors.
Jev plays Super Mario Bros. from structured emulator telemetry rather than screenshots.
What Jev decides
The next controller action, whether jumping is useful now, and the immediate danger level.
Use Jev decisions directly inside PostgreSQL filters, rankings, and classifications.
What Jev decides
Whether a row matches, how strongly it matches, or which supplied label best describes it.
The latest projects added to this directory.
Judge a paper's readability and completeness with narrow Jev questions.
What Jev decides
Whether a passage or paper section meets each rubric criterion.
Choose a prepared conversation flash card as a call unfolds.
What Jev decides
Which conversation state or prepared card best fits the latest transcript.
Classify tax-document pages by IRS form and page kind with Jev.
What Jev decides
Which IRS form and which page kind best match the page text.
Rank agent skills for the next step, including the option to choose none.
What Jev decides
Which skill fits best, whether each candidate fits, or whether none should be suggested.
Turn a sound description into synthesizer controls through Jev judgments.
What Jev decides
Seven ordered sound-quality scores and probabilities over eight sound families.
Find sponsor reads in video transcripts and audio with typed Jev decisions.
What Jev decides
Which transcript line marks a boundary, or whether heard audio is a sponsor read.
REAL PEOPLE. REAL RESULTS.
Builders, operators, and curious minds putting Jev to work.
Each card opens the original post ↗
The Matt Berman
@TheMattBerman
jev is INSANE. in 40 seconds it broke down 724 live ads from 37 brands. every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens. (will be avail in @stealads + mcp)
Author reported
724 competitor ads, broken down
MoonGotchi
@MoonGotchi
Jev is INSANE. I built this in an evening and morning. A real-time trading bot ingesting onchain+offchain data to make rapid decisions about trades. Fully autonomous. So far it has lost me $31,680.
Author reported
A fast trading bot—and an expensive lesson
Roman
@romanbuildsaas
JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying signals, match each prospect with the best message and identify the campaigns most likely to perform based on data. Coming soon to @GojiberryAI + MCP. Comment “JEV” for early access.
Author reported
700 leads scored in 40 seconds
Nailthy Tang
@nailthy62
jev is insane 🫣 it makes realtime virtual try-on hauls possible. built this experiment for Drape with @typesafeai > i talk > jev reads transcript + what i'm wearing > picks from my closet > changes my outfit in realtime cost: $0.0011 per decision time: ~620ms per decision imagine getting ready like this:
Author reported
A real-time virtual try-on driven by conversation
Chris Tate
@ctatedev
New experiment: json-render + jev The future Generative UI is instant Your components, your actions, your design system Rendered in milliseconds
Author reported
Generative UI rendered in milliseconds
Faadil Shaik
@faadilhshaik
got @typesafeai’s new model Jev to play Super Mario Bros. fast inference + structured outputs makes it surprisingly good for real time use cases. I'm excited to see what can be done with these new models!
Author reported
Jev plays Super Mario Bros. in real time
THE SHORT VERSION
A quick guide to where Jev fits, what it returns, and how this directory reviews the projects it lists.