Jev – A curation of Jev demos on X, tools, skills, and integrations

davidweatherall

https://x.com/dWeaths/status/2102415625301717065 - Here's my use case of jev, being able to accurately detect nouns (with adverbs, adjectives etc.) in realtime as the user is typing it, genuinely feels like it's running locally with how fast it comes back. I've sent over 1000 requests to Jev and its cost me $0.01 (probably rounded up!).

DelightOne

Did anyone do prompt injection detection?

levmiseri

I had an idea for a 'write without space, basicallylikethis' and Jev (given how cheap it is) just being asked after every key press where inserting spaces (or making typo correction) would make sense. The demo is here: https://levmiseri.com/nospace

raahelb

I built hn4me.xyz - Hacker News stories curated by Jev based on your interests Demo here: https://x.com/RaahelSaidWhat/status/2102162969656475973

zodvik

Chrome extension to filter Twitter posts for AI slop, promotions, or based on custom rules - https://chromewebstore.google.com/detail/clean-twitter/oflan... https://github.com/midplane/clean-twitter

suraj_phanindra

i built wellposed as a plugin/skill which works with any agent ( https://github.com/suraj-phanindra/wellposed ) to ensure your agent understands how to choose the right kind of jev request and format it correctly not just for syntax but for completeness and correctness. it is well-documented in the "jagged-ness" docs ( https://docs.typesafe.ai/model-jaggedness/jev-1.13 ) that typesafe include on their docs page that the absence of essential options can cause jev to choose the wrong option with high confidence (it cannot choose what it cannot see in the request) - so the responsibility to ensure whatever the intent behind your jev request is - it is captured correctly with the right states and options for jev to pick from falls on the user. wellposed should ideally make your agent better at converting NL intent into jev requests. please try and give me feedback. appreciate it!

poppafuze

marketing blitz in progress

upupupandaway

Don't want to be a conspiracy theorist, but these past two weeks have seen what looks to be a coordinated campaign to boost Jev. Am I out of the loop or is this so revolutionary it warrants getting so much coverage on HN and other professional sites?

liquicity

Initial personal use case (on my side project https://mealplannr.io/lists ) is lists have a "smart categorise" button to group items into 20 or so preset lists. Previously this took up to ~30-60 seconds using deepseek v4 flash (even with a medium list size) - Jev is <1 second @ same cost with typesafe guarantee As a bonus I can also instantly categorise new items - rather than sending them into an "unknown" category (and waiting for user to have to click "categorise" again)

GodelNumbering

At this point, I am finding it extremely hard to believe that Jev team is not on a massive astroturfing campaign. This is happening all over reddit too. All LLM subreddits are getting flooded by Jev posts, many of which are made by new accounts that only talk about Jev, many obviously advertising in guise of sharing knowledge (e.g. https://www.reddit.com/r/LocalLLaMA/comments/1wn4cni/removed... ) Multiple posts on HN, including this one, are from accounts that only ever talked about Jev. Each get unusually high number of upvotes early on, enough to put them on frontpage. A multitude of commenters on such posts also seem to talk about only 1 topic. Can all this happen organically? Yes but with vanishingly low probability, from my vantage point.

ChaitanyaSai

"A compelling clip often leaves the useful questions unanswered: what did Jev decide, where is the implementation, and what can I reuse?" Oh my god for the love of god and all that's precious please stop using Claude. Just reading this makes me want to set up a swarm of rogue agents to break into anthropic and fix this writing. I hope this changes!

lewisjoe

Can someone ELI5 me why Jev class models matter? Note: Not the technical side, but as an end user of LLM APIs.