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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media
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CommunityJev Guides & Articles
Awesome Jev — Frank-ZY-Dou
Source-linked index of public Jev demos across robot control, simulation, 3D and animation, and vehicles, with each entry quoting the original author and archiving the demo video or images.
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- 22
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- Author
- Frank-ZY-Dou
- Last verified
- Oct 2026
This is one of several Jev listings for the same project. The canonical entry is Awesome Jev — yibie.
About this project
Public, source-linked examples of Jev, the decision model that TypeSafe AI released on 15 September 2026, used for robot control, 3D and animation work, and related control tasks. Each entry links the original post, names the author and date, quotes the author for every claim and number, and archives the demo video or images in this repository so they stay viewable if the originals disappear. Rights remain with the authors.
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
Highlights
- Each entry links the original post, names the author, and archives demo video or images for rechecking.
- Measured runs with published code and numbers rank first; undocumented integrations sit separately.
- Entries say when a post omits the robot model or input conversion instead of guessing.
- Summarizes the typed interface: one endpoint with Noul, Choice, and Score over text state.
Watch out
Most cases are simulations and only two show physical hardware, so treat it as a reading list with archived video rather than a test report. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
No. Descriptions repeat what the linked posts say, and entries state explicitly when a post omits the robot model, the simulation status, or how images reach the model.
Structured text or option menus. The model takes no image, audio, or video input, so every robotics setup converts camera or simulator state into text before asking.
Runs with published code and reported numbers come first, and integrations without a documented live run are listed separately below them.
The two physical-arm cases show choosing moves without a trained policy, including a ball-to-bowl run, while the rest pick discrete actions a simulator or script executes.
Text only: a string, JSON object or array of text values, with no image, audio or video input. Context is 64k tokens per request, 32k for the state plus the longest question, which is why the robotics demos feed Jev structured state rather than camera images.
For jev-1.13 the vendor lists that it struggles with tasks needing numeric precision, that Jev is not a calculator, that it does not count reliably, and that it suffers context rot, where unrelated material in the state costs accuracy. The documentation pages the index checked contain no robotics or physical-safety guidance.
Each entry archives the demo video or images inside the repository and records the original link, author and date. That keeps the evidence viewable if the originals disappear, while the rights stay with the authors. Every claim and number is a quote from the source post.
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From the Jev community
Posts from builders shipping with Jev right now.