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Jev AI Notes cases
16 public posts filed under Notes. English summaries on this page, with a link to each case.
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@mikeclarke argues Jev as a precondition unlocks proactive agents beyond cron and external triggers.
proactive agents only work two ways today (tell me if i'm missing something): 1. scheduled cron 2. external trigger using jev as a precondition for (1) and (2)…
@jurlycat cites Vercel’s October AI Gateway report: Jev reached 35.3% of paid teams in 14 days with 0.27% of spend and strong week-two return.
Jev in Vercel’s October AI Gateway report: • 35.3% of paid teams used it in its first 14 days, the fastest adoption in Gateway history. Sonnet 5.5 reached 18.1%…
@JeffreyBiles says Jev opens up entirely new question types. The post includes a video.
Jev opens up entirely new question types
@yuhasbeentaken posts that they have now found the best Jev use case. The post text does not say what that use case is.
ok now I find the best Jev use case
@lateinteraction wishes Jev could think longer before harder decisions, and maybe return composite types such as dicts and lists, not only bools.
hear me out: jev, but with the ability to think longer before harder decisions oh and maybe with composite types like dicts and lists and not only bools 🤯
@The_Alex posts “I trust Jev with my life” and a clip. The text does not describe a product or method.
I trust Jev with my life https://t.co/GN3KpzrvRC
@Neel490 says the implications of Jev for self-driving could be huge and links a clip. The text does not describe a system.
I think the implications of jev on self-driving could be huge https://t.co/advoRDSOz7
Quoted @CompleteSkeptic
@typesafeai posts a behind-the-scenes clip of the launch video, with chief of staff @justKDeng keeping CEO @CompleteSkeptic on track.
Behind the scenes of our launch video… chief of staff @justKDeng keeping our CEO @CompleteSkeptic on track https://t.co/81HHtsj4eK
@jpschroeder posts “Silicon Valley predicted Jev a decade ago” and a clip. The text does not explain the scene.
Silicon Valley predicted Jev a decade ago. https://t.co/ZfSjPYWsTn
@mdlahfir posts “Jev solved delegation” and a link. The text does not say what was delegated or how.
Jev solved delegation https://t.co/1TznArCaSY
Quoted @mdlahfir
@0xkvyb posts “The real use-case for Jev” with a link. The text does not say what that use case is.
The real use-case for Jev https://t.co/fnsghSM7oo
@cocktailpeanut posts “Silicon Valley predicted TypeSafe” and a clip. The text does not describe a build.
Silicon Valley predicted @typesafeai https://t.co/v8xXPluYF3
Quoted @CompleteSkeptic
@coolastekatten says they added Jev to Scappa tonight. The post does not say what changed in the product.
Alright @typesafeai cooked Jev is truly the next era of building w LLMs Added this to Scappa tonight https://t.co/YeYnj5pc7l
@framer uses TypeSafe as an example of a team that still comes to Framer when a site has to look like a serious company on day one. The post is a Framer advertisement, not a Jev build.
Building got faster. Taste didn’t become optional. Framer is where frontier teams like @typesafeai still go when the site has to look like a serious company on…
Quoted @CompleteSkeptic
@BolhaDevs posts about the Jev model (Jevons paradox) and TypeSafe’s RLCD, reinforcement learning for calibrated decisions, with a link. The text does not describe a build.
o modelo jev (paradoxo de jevons) com RLCD (reinforcement learning for calibrated decisions) da typesafe ai https://t.co/aGwtQkbJyj
@kenny_io demos Thally creating a GitHub docs repo tied to the products it documents. They say they are now exploring how TypeSafe could make that workflow more efficient. The post does not say Jev is already wired in.
One of the popular requests since launching @thallyio is a demo of how it works. So here it is! Thally can create a new docs repository on your GitHub account,…
Quoted @kenny_io