jevnotes.com valid
Jev Notes
Unofficial notes for TypeSafe’s Jev AI — decisions, not chat.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T09:36:44.372Z. Cached copy · Source on jevnotes.com
# Jev Notes
> Unofficial notes for TypeSafe’s Jev AI — decisions, not chat.
Jev AI is TypeSafe’s System One decision model (Jev 1.13): Structured decision model: returns typed answers with probabilities; does not generate free-form text. Primitives: noul (yes / no questions), choice (up to 255 options; use null for options without detail), and score (ordered scale: at least 2 and at most 10 levels). Price: $0.042 per 1M input tokens; output tokens are free.
Unofficial developer resource. Not affiliated with TypeSafe AI.
Full text: https://jevnotes.com/llms-full.txt
## Guides
- [Jev AI by TypeSafe: Decision Model Notes](https://jevnotes.com/handbook/): Unofficial handbook for Jev AI and TypeSafe AI: System One decision model API, noul/choice/score primitives, pricing, and when typed decisions beat a chat LLM.
- [TypeSafe AI: The Company Behind Jev AI](https://jevnotes.com/typesafe-ai/): Who TypeSafe AI is, founder Diogo Almeida, System One naming, published speed/cost claims, and official docs links.
- [Jev API Quickstart: Python System One Example](https://jevnotes.com/api-quickstart/): POST /v1/systemone with noul, choice, and score in one call. Auth, errors, backoff, and why chat-completions SDKs will not work.
- [What Is Jev AI? Noul, Choice and Score](https://jevnotes.com/what-is-jev-ai/): Jev AI is not a chat model. Learn noul, choice, score, confidence vs probability, and when not to use it.
- [Jev Pricing Calculator: $42 per Billion Tokens](https://jevnotes.com/pricing-calculator/): Estimate daily and monthly cost at $0.042 per million input tokens. Output tokens are free. Compare against a chat LLM.
- [Jev Primitives: Noul vs Choice vs Score](https://jevnotes.com/primitives/): Field reference for noul, choice, and score plus a request builder that copies valid System One JSON.
- [Jev AI vs LLM: When Decision Models Win](https://jevnotes.com/jev-vs-llm/): Parallel sampling vs autoregression, latency, calibrated probabilities, and using LLM write + Jev judge together.
- [Jev as a Judge: Rubric Scoring and Evaluation](https://jevnotes.com/jev-as-a-judge/): Public posts in this catalog that mention a judge, a rubric, or an eval, plus the score primitive and the sel-jev-rubric-judge traffic label stored here.
- [Jev AI on OpenRouter: Decisions API Guide](https://jevnotes.com/jev-openrouter/): Recorded OpenRouter model ids for Jev AI, the Decisions API warning, and prices stored in this handbook. Re-check the live card before you ship.
## Cases
- [Jev AI Examples: 413 Real Builds & Demos (Updated Daily)](https://jevnotes.com/): 413 real Jev AI builds and public demos, updated daily. Original posts, metrics, and source links. Unofficial notes, not TypeSafe docs.
- [Training](https://jevnotes.com/cases/category/train/): 13 cases
- [Agents](https://jevnotes.com/cases/category/agent/): 81 cases
- [Guides](https://jevnotes.com/cases/category/guide/): 38 cases
- [Apps](https://jevnotes.com/cases/category/product/): 215 cases
- [Benchmarks](htt
…
Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| benchmarkheaven.com | Benchmark Heaven | documentation AI and machine learning | FI | 50 | ✓ | ✓ | |
| typesafe.ai | TypeSafe | interface Developer tools AI and machine learning +1 | — | 65 | ✓ | ✓ | |
| awesomejev.vercel.app | Awesome Jev | documentation AI and machine learning Documentation and reference | US | 45 | ✓ | ✓ | |
| decisionnode.com | DecisionNode | interface AI and machine learning APIs and SDKs +1 | — | 50 | ✓ | ✓ | |
| benchlm.ai | BenchLM AI | informational AI and machine learning | — | 60 | ✓ | ✓ | |
| mouse.dev | Mouse Decision API (mouse-1) | interface AI agents and MCP APIs and SDKs +1 | US | 52 | ✓ | ✓ | |
| benchgecko.ai | BenchGecko | interface AI and machine learning Data and analytics +1 | US | 52 | ✓ | ✓ | |
| preuve.ai | Preuve AI | interface AI and machine learning Data and analytics +2 | FR | 51 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=jevnotes.com · GET /v1/domain/jevnotes.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage jevnotes.com, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for jevnotes.com:
1. POST https://agentwebmap.com/v1/sites/jevnotes.com/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://jevnotes.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/jevnotes.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/jevnotes.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.