I built a chat bot with jev, no LLM at all! Responses are instant, no hallucinations. I hooked it up to web search, wikipedia, weather, todoist and home assistant. Jev decides what tool to call and what args to use based on the prompt. Instant answers cite sources as well!
Primitives
Score legend
The Score answer field that maps each level number back to its description, so results stay readable after the fact.
- Category
- Primitives
- Also known as
- —
- Related terms
- 4
- Directory entries
- 2
- Docs
- docs.typesafe.ai
- Added
- 2026-09-24
Definition
A Score answer includes score, legend, probabilities, and confidence. The legend repeats your levels by number — {"0": "Calm", "1": "Frustrated", "2": "Very angry"} — while probabilities keys are the same level indexes as strings.
Logging the legend next to the score is what makes later review possible: the number alone loses its meaning once the criteria change.
Tagsprimitivesapi
Related terms
Definitions that connect to this one.
ScoreRate the state against 2 to 10 ordered levels; returns a probability-weighted position, per-level probabilities, and confidence.PrimitivesScore levelOne entry in a Score's ordered criteria list; levels are numbered by array position from 0 and judged independently.PrimitivesWeighted scoreThe Score answer computed as each level number times its probability, which is why a score can land between two levels.Answers & ConfidenceAnswerThe structured result returned under a question's ID: a choice, a score, or a probability of yes, plus distributions and confidence.Core Concepts
From the directory
Rate content against 2 to 10 ordered levels. Returns a probability-weighted score that can land between levels, per-level probabilities, and confidence, with the arithmetic left to code.
Practices & PatternsDocs#official#primitives#score
Official
The raw HTTP contract behind every SDK: POST a state plus typed noul, choice, and score questions to /v1/systemone, and get one answer per question, with error codes and retry guidance.
Sites & GuidesDocs#official#docs#api
Official
From the community
Posts from builders shipping with Jev right now.
A chat bot with no LLM
3,282 posts, eight questions each
I gave Jev 3,282 of my X posts across 100M views and asked it to find what actually works for growth. 4,252,330 tokens $0.1282 for the full 8m 34s run! Each post got 8 questions about the topic, hook, tone, whether it teaches something, etc. How-to posts got 150 median likes Show more
Jev repositories worth a look, in Japanese
やぁ！兄弟たち！ Jevに関するGitHubの実用性と発展性がありそうなリポジトリをまとめたよ！ やはり、高速判断を要するComputerUseや完全自動トレードなんかに対しての活用が多い印象だね！ Jevは公式のウェイトリストも1日ほどで承認されるけど、待たなくてもVercel AI GatewayからModel: Show more
Company invoices, classified for the books
Caso de uso de @typesafeai: Revisar todas las facturas de la empresa y clasificarlas contablemente en segundos 🫠
Real-time Clippy that wakes up when you struggle
I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
One-click invoice finder
Jev is fun! One-click invoice finder for any website 🧾 - Automatically finds billing pages using @typesafeai's Jev - List/download all invoices with 1 click - Works with Stripe billing portals too - Remembers where invoices live for next time Should I open-source it?