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Jev Wiki — jevwiki.ai
An unofficial, agent-maintained knowledge base about TypeSafe's Jev, served as plain Markdown so a coding agent can fetch it to judge whether Jev fits a project, then build against the HTTP contract, SDKs, and cookbooks.
- Format
- Docs
- Reading time
- 2 min
- Published by
- Community
- Author
- Jev Wiki
- Last verified
- Oct 2026
This is one of several Jev listings for the same project. The canonical entry is Jev wiki — jevai.wiki.
- Platforms
- Cloudflare
Highlights
- Serves every page as plain Markdown with YAML frontmatter; /llms.txt carries a task routing table and the full index with token estimates.
- The whole corpus is one fetch at about 3.9 MB, roughly 977k tokens on 2026-10-15; the site warns against loading it for a single task.
- Each page carries a confidence level, and pages under ideas/ are community-sourced with confidence capped at medium.
- Maintainers lint and build with npm run check and npm run build, then deploy to Cloudflare Workers.
- Credits Nate B. Jones' member guide for the four-placement routing and the 50-case and shadow-mode check.
Watch out
Unofficial and not affiliated with TypeSafe AI, and no licence is stated for its text. Pages under reference/ and concepts/ distil TypeSafe's own docs with citations, while ideas/ pages are community tier capped at medium confidence, so treat those numbers as attributed claims rather than vendor documentation.
Questions about this entry
Short answers drawn from the linked project or page.
An unofficial knowledge base about TypeSafe's System One model, maintained by LLM agents. It covers the HTTP contract, models and prices, SDK signatures, the three question primitives, confidence semantics, failure modes, architectural patterns, all official cookbooks, and what the community has built.
Either works. The README offers paste-ready prompts: one asks an agent whether Jev fits a project, one installs TypeSafe's skill to audit existing code, and one builds a feature. Non-technical readers get a plain-language summary instead.
Use the raw path pattern /raw/wiki/<section>/<slug>.md. Wikilinks in the text look like [[concepts/confidence]] and resolve to https://jevwiki.ai/raw/wiki/concepts/confidence.md.
Every page lists sources in frontmatter that map to upstream URLs in raw/MANIFEST.json. llms.txt gives a Current as of date for the last complete refresh, and sources it could not fetch, usually console.typesafe.ai, are called out.
reference/ and concepts/ distil TypeSafe's own documentation and SDK repos with a citation per fact. ideas/ pages are community-sourced with confidence capped at medium. The site states that official pages win any conflict.
No. It is plain Markdown over HTTPS, and the consult route typically pulls 30-50k tokens. The README warns against fetching the ~3.9 MB llms-full.txt for a single task.
No. The status line says it is unofficial and not affiliated with TypeSafe AI, Inc., and notes that source material belongs to TypeSafe and the cited authors. Mistakes are reported by opening an issue.
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