What are System One Models?

System One Models are a class of AI model built to make decisions inside software rather than converse with people. They return typed outputs and calibrated confidence instead of free-form text.

Jev is TypeSafe's first public System One Model, optimised for automation. You send it structured questions and it returns typed decisions with probabilities and confidence estimates that your software can act on.

Is Jev just a smaller LLM with structured output?

No. Jev uses a new architecture, a new sampler and a new training algorithm called Reinforcement Learning for Calibrated Decisions (RLCD). It is not a smaller LLM with a JSON wrapper — it is designed around typed decisions and calibrated confidence from the ground up.

How is this different from a standard LLM with JSON mode?

General-purpose LLMs return words for people. Jev returns decisions that software consumes directly, more like code: reliable, fast, self-consistent and type-safe, with a confidence estimate attached to every decision.

How do I get started and what does Jev cost?

Jev is in early access, and TypeSafe says it costs $42 per billion input tokens, which it describes as roughly 238x lower input pricing than comparable frontier chat models. You can request access through the site's API console and explore the documentation.

TypeSafe AI - Jev의 월간 트래픽과 성장 추세는 어떠한가요?

TypeSafe AI - Jev은(는) 현재 월 614.87만회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 -351.3만(성장률 -36.4%)입니다. 주요 유입 시장은 미국(점유율 26.4%)이며, 여기에는 월 직접 방문 314.11만회와 월 자연 검색 방문 —회가 포함됩니다.

TypeSafe AI - Jev은(는) 무료인가요? 가격 모델은 무엇인가요?

TypeSafe AI - Jev은(는) 유료 가격 모델로 운영됩니다. Paid, with early access to Jev. TypeSafe quotes Jev at $42 per billion input tokens and describes this as roughly 238x lower input pricing than comparable frontier chat models. Enterprise options and API access are arranged through the company, alongside documentation and an API console. 지원되는 결제 및 체크아웃 플랫폼에는 등록되지 않음 등이 있습니다.

TypeSafe AI - Jev — 월간 트래픽 (614.87만/월), 가격, API 및 대안 비교

Open AI Tools

TypeSafe AI - Jev — 월간 트래픽 (614.87만/월), 가격, API 및 대안 비교 | Open AI Tools

TypeSafe AI - Jev 소개

Typed decisions, not strings

Jev outputs typed decisions that application code can act on directly, rather than prose that must be parsed and interpreted.

Calibrated confidence on every call

Every decision carries an estimate of how confident the model is, so you can set thresholds for autonomous action versus human escalation.

Reported 193x faster, 444x cheaper

TypeSafe reports Jev at roughly 193x faster and 444x cheaper than LLM-based workflows on comparable System One tasks, with a price of $42 per billion input tokens.

Built to reduce hallucination

Because confidence estimates expose uncertainty, Jev is designed to avoid hallucination-style failures in automation, enabling zero-hallucination decision paths where confidence is high.

Composable workflows with human-in-the-loop

Combine Jev's per-call decisions inside your own code to construct larger workflows, with explicit control over when intelligence acts and when it defers to a human.

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.

TypeSafe AI - Jev의 임팩트 높은 활용 사례

Engineering teams automating decisions

Build reliable automation workflows

Replace text-generating model calls with typed decisions and confidence scores so pipelines can auto-approve clear cases and route ambiguous ones to a human, as in the reported 88% screening cost reduction case study.

Developers adding AI to products

Add decision intelligence to an app

Classify and triage incoming items with low latency and low cost, escalating only the cases where confidence is below your threshold.

AI and data platform teams

Run high-throughput classification

Insert a high-speed, low-cost model into automated data and content pipelines where decisions must be consistent and confidence-graded.

Researchers and ML engineers

Benchmark decision models

Evaluate Jev's typed, calibrated outputs against existing LLM calls to compare latency, cost and reliability before wider rollout.

TypeSafe AI - Jev 대안 및 경쟁사 베스트 11선

동일한 주요 카테고리에 속한 경쟁 AI 도구의 나란히 보는 텔레메트리 비교

TypeSafe AI - Jev 대안 전체 보기 →AI 모델 도구 전체 살펴보기 →

순위	AI 도구	월간 방문 수	전월 대비 성장률	직접 유입 비중	가격	일대일 비교
●	TypeSafe AI - Jev	614.87만	-36.4%	직접 유입 51%	유료	현재 도구
1	Jev AI 구조화된 확률 기반 선택지를 반환하는 직접적인 결정 모델링 API로, TypeSafe AI의 자동화 초점에 가깝습니다.	2.96만	+117.4%	직접 유입 39%	무료	vs Jev AI
2	RightNow AI 멀티모달 입력에서 스트리밍 결정 확률을 제공하지만, 정적 타이핑 결정보다는 실시간 데이터 스트림에 집중합니다.	8.36천	-39.9%	직접 유입 40%	무료+유료, 유료	vs RightNow AI
3	Not Diamond 코딩 에이전트를 위한 모델 라우팅을 최적화하지만, TypeSafe AI의 타이핑된 결정 스코어링 및 자동화 기능은 부족합니다.	2.92만	+25.3%	직접 유입 43%	무료+유료, 유료, 가격 문의	vs Not Diamond
4	Emergence AI 기업용 거버넌스 기반 멀티 아키텍처 네트워크를 배포하지만, 단독 타이핑 결정보다는 광범위한 에이전트 오케스트레이션을 지향합니다.	5.47만	-43.1%	직접 유입 32%	가격 문의	vs Emergence AI
5	Decisions 기업 프로세스 자동화와 비즈니스 규칙을 결합하지만, 네이티브 머신 인텔리전스 신뢰도 점수 API가 부족합니다.	9.1만	+14.6%	직접 유입 18%	가격 문의	vs Decisions
6	OpenRouter 하나의 API를 통해 다양한 파운데이션 모델에 대한 액세스를 제공하지만, 특화된 타이핑 결정 스코어링 및 신뢰도 지표가 부족합니다.	1994.14만	-6.2%	직접 유입 60%	유료	vs OpenRouter