Public posts showing how people use Jev, newest first. Each card quotes a short excerpt, links to the original, and points to the closest worked use case. Claims in these posts belong to their authors and are not verified by this site.
Another crazy @typesafeai Jev example:
Predictive spreadsheets
Spreadsheets recalculate numbers, not meaning. Jev reads intent.
Type "Urgency" at the top of a column and, as you type, it figures out you want each row rated from "no follow-up needed" to "urgent" in ~100 ms.
A spreadsheet prototype where a column header such as "Urgency" becomes a rating scale that Jev applies to every row.
Jev is really good at intent-based search!
How it looks in Gmail:
(for a huge inbox you'd prob let semantic search / embeddings pull first but still much better experience)
Intent-based search over an inbox. The author notes that a large inbox would want a retrieval step first, which is the pattern in our re-ranking use case.
Jev scoring 3000 kid snacks with multiple criteria on [link] in 28 seconds for $0.11 🤯
A catalog of kids' snacks scored on multiple criteria in one batch run. Time and cost figures are the author's.
Breaking: Browser Use + Jev = Ultrafast âš¡
Findings flights took 7s and cost only $0.0039 🤯
> new action space every step > DOM state space > small LLM fallback to type
(this video is at 1x speed btw)
Built a tiny open source browser agent. try it below ↓
An open source browser agent that asks Jev to choose the next action from the page state, with a small LLM used only for typing. Speed and cost figures are the author's.
I build an undetectable realtime adblocker extension with typesafe
It checks every dom element and classifies as ad/non-ad and removes it if true
Extremely fun to work with, expecting an incredible shift in how AI is being used in the future
A browser extension that classifies each page element as ad or not ad and removes the ads.
Every agent harness can now use Jev
npm install -g ai-cli
→ ask yes/no questions → choose between options → score against your criteria
A command line tool that exposes yes/no, choice and score questions to coding agents.
found the perfect use case for @typesafeai Jev:
instant compaction
in 2026, why is compaction still a summarization prompt?
Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Instead of summarizing an agent's history with an LLM, this scores each tool call for relevance and drops the irrelevant ones.
