JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying Show more
Core ConceptsTyped answer
Answer
The structured result returned under a question's ID: a choice, a score, or a probability of yes, plus distributions and confidence.
- Category
- Core Concepts
- Also known as
- Typed answer
- Related terms
- 6
- Directory entries
- 2
- Docs
- docs.typesafe.ai
- Added
- 2026-09-24
Definition
Answers are primitives too. A Choice answer carries choice, probabilities, and confidence; a Score answer carries score, legend, probabilities, and confidence; a Noul answer carries a single noul value between 0 and 1 and no separate confidence.
Every answer is constrained to the options or levels you supplied, so code never has to recover a value from generated prose. Answers are also independent, so you can add or remove questions without changing the others' results.
Tagscoreprimitives
Related terms
Definitions that connect to this one.
QuestionA named judgment for Jev to make about the state, defined by an ID, a type, instructions, and criteria for the typed primitives.Core ConceptsChoicePick one option from a set you define; returns the selected option, a probability for every option, and confidence.PrimitivesScoreRate the state against 2 to 10 ordered levels; returns a probability-weighted position, per-level probabilities, and confidence.PrimitivesNoulThe yes/no primitive: one probability from 0 to 1, where the value is the answer and no separate confidence is returned.PrimitivesConfidenceA 0-1 number on every Choice and Score answer that collapses the probability distribution into one certainty score.Answers & ConfidenceProbability distributionThe floats summing to 1 across your options or levels that every Choice and Score answer returns under probabilities.Answers & Confidence
From the directory
The three TypeSafe question types, the typed answers they return, how to choose between them, and how to ask several in a single call.
Practices & PatternsDocs#official#primitives#choice
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.
700 leads scored for $0.09
Beating Gemini Flash Lite on an eval
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Browser Use Ultrafast, powered by Jev
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
A really smart switch statement
hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more
@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
When a designer gets Jev
when a designer gets access to Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor