
Explore real Jev agent builds, demos, and patterns
Explore 360+ curated Jev AI agent builds, open-source code & video demos. Discover Claude Code skills, browser agents & SEO workflows with latenJev for Agents helps developers explore how Jev is used in AI agent workflows. Browse source-linked builds, video demos, repositories, and implementation patterns for browser automation, routing, tool selection, evaluation, and guardrails. Follow an example to its source, then use the guides to try a pattern in your own agent.
JevForAgents provides access to over 360 curated AI agent builds, open-source code, and video demonstrations for developers. It facilitates exploration of Jev's application in AI workflows, including browser automation and tool selection, with linked sources and implementation guides.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.