Moritz Kremb built a voice-controlled browser. Jev selects the intent and target from partial transcripts, while Playwright performs the browser action.
Input, decision and limits
Input
Speech transcript and a compact snapshot of page elements.
Decision
Choose the command intent and a target element.
Then
Application policy checks the choice; Playwright then acts or waits.
The repository describes the implementation and tests, but Jev Tracker has not run the browser or repeated its results.
Element snapshots are capped and do not include content inside iframes; destructive actions still depend on a spoken confirmation policy.
Third Hand reads available controls and local screen text, asks Jev which action fits a request, and carries out the selection through macOS automation.
Input, decision and limits
Input
A user request and descriptions of accessible on-screen controls.
Decision
Select a matching action from the available controls.
Then
The macOS app clicks, types or checks the resulting state.
The author shares code and a demo, but no independent reliability study is available.
Desktop automation can affect real user data; the video does not establish safe behavior across applications.
Rolewise retrieves job descriptions separately, then asks Jev whether each resume and job pair is suitable. The author shared a recording of the requests.
Input, decision and limits
Input
A resume and a retrieved job description.
Decision
Select suitable or not suitable for each pair.
Then
The app narrows the opportunity list for human review.
The author explicitly says accuracy against a human reviewer has not been established.
No public Rolewise repository was linked in the inspected post; the original post contains the demo.
Compare provider routes, account requirements and published prices.
Source checks are not authenticated access tests. Regional eligibility and current pricing must be confirmed with each provider.
Channel
Status & requirements
Published price
Source checked
Next step
TypeSafe AI Officialjev-latest
Waitlist
The public site still offers a waitlist. Documentation also links to a sign-in-gated Playground; admission was not tested.
A TypeSafe login is required for the Playground. Account eligibility and waiting time are not yet verified.
$0.042 per 1M input tokens
Launch-post price. TypeSafe’s homepage also displays $42 per billion input tokens. Output tokens were advertised as free; confirm current billing before use.
Vercel announces Jev support and lists the model. Team eligibility and successful calls were not tested.
Gateway credentials and an integration capable of evaluation calls. Confirm access and billing with Vercel.
$0.04 per 1M input tokens
Displayed listing price, possibly rounded. Output charges, credits and account-specific billing are not yet verified. This is not a price-parity claim.
For jev-1.13.0, the model reference specifies text-only input: strings, JSON objects or arrays of text values. Images, audio and video are not accepted directly.
TypeSafe derives confidence from the output probability distribution. Its guidance makes action thresholds depend on the domain, risk and observed performance.