Jev Social v0.1.4 — explicit media intent and browser-grounded research #6
IRONICBo
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Jev Social v0.1.4 is live: Jev chooses bounded social-research operations, the local socai CLI executes them in your signed-in browser, and the UI streams post cards, video evidence, and a source-linked report.
Try the live overview · View the source · Read the v0.1.4 release
What changed in v0.1.4
--download-mediacan run.SECURITY.mdnow documents the exact model payload, key and cookie boundaries, local retention, cleanup, cost, cancellation, and recovery behavior.Install the Agent Skill
GitHub CLI 2.101 or newer can install the versioned skill for Codex:
The repository also remains compatible with the cross-agent Skills CLI:
Run the local demo
Node 20+, an OpenRouter key with Jev access, and a compatible socai CLI are required.
What happens during a run
Jev never writes selectors, shell commands, coordinates, or arbitrary browser actions. The skill also suppresses raw run JSON, credentials, executable paths, and local artifact paths.
Recorded evidence
These are individual recorded runs, not a benchmark or guaranteed latency. The TikTok search timing is socai-only rather than a complete Jev loop.
Current reliability work is tracked in the pinned roadmap and the
v0.2.0 — Reliable research loopmilestone. Focused issues and pull requests are welcome.If this browser-grounded research pattern is useful, star Jev Social and try it against a real question.
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