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A crawler-maintained directory of projects built on Jev, TypeSafe AI's System One model. Daily GitHub + npm sweep, human-merged.
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CommunityJev Guides & Articles
Awesome Jev — RadRebelSam
Community directory of Jev tools, SDKs, integrations, and examples with a searchable filterable site, plus daily cross-directory coverage records stored in data/coverage.json.
- Stars
- 1
- Language
- JavaScript
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- Community
- Author
- RadRebelSam
- 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
Jev is not a chatbot and not a coding model. You send it application state plus a list of typed questions, and it returns one typed answer per question: a yes/no probability, one option from a list you defined, or a position on a scale you defined. It does not emit free text, which is why TypeSafe AI describes it as unable to hallucinate or produce a type error. The company reports inference 40–200x faster than frontier LLMs on comparable classification work, at $0.042 per million input tokens with output billed…
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- JavaScript
Highlights
- Searchable companion site with filters for browsing tools and examples.
- Coverage records note what was checked, link counts per source, and when.
- Explains Jev as typed answers to state plus questions, with no free text.
- Vendor speed and pricing figures are labeled as the vendor's own claims to check.
Watch out
Coverage depends on other directories answering each day; vendor speed and pricing figures are unverified here. 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.
Each entry is looked for across the other public Jev directories, sites, and large lists, and the count only stands when every source answered. Data and timing land in data/coverage.json.
Start with the official launch post on System One models and Jev, then the LangChain harness walkthrough, before browsing SDKs and examples.
No. Jev takes application state plus typed questions and returns one typed answer per question: yes or no probability, one of your options, or a scale position. It emits no free text.
Treat them as vendor claims. The list states the inference and pricing numbers are the vendor's own and exists to collect working code those claims can be checked against.
Each entry shows the repository, a one-line description and, where available, star count, language, license and last-updated date, grouped into sections such as Official and SDKs and clients.
An Official section lists TypeSafe AI's own repositories, including skills, the Python and JS SDKs, WorkflowEvals and the n8n nodes, kept separate from community SDKs and clients.
Yes. The list is also published as a searchable, filterable site at awesomejev.radrebeldeveloper.com, and the README contents are auto-generated from the entries.
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Original write-ups on what this entry is for.
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Read article
The first ten days produced three receptions that rarely meet: a Product Hunt launch, a 620-point Hacker News thread, and a r/LocalLLaMA that doubted the framing. Reading them together.
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From the Jev community
Posts from builders shipping with Jev right now.