# Jev Agent (jev-agent.com) > An independent developer guide to Jev, TypeSafe AI's System One model. Not affiliated with TypeSafe AI. Every figure here was measured against the live API or traced to a primary source; facts last verified 2026-09-19. Jev answers typed questions about a state and returns structured decisions with calibrated probabilities. It generates no text at all. Every use-case page carries output measured against the live API on 2026-09-18 — the state that was sent, the answers returned with their probability distributions, latency shown both raw and minus a measured network floor, and the cost the API itself reported. Licence: you may quote any measured figure or fact on this page, with attribution to jev-agent.com. The code samples are free to copy without attribution. ## Key facts - Vendor: TypeSafe AI. Launched September 15, 2026 with a $40M seed round led by DCVC. - Co-founder: Diogo Almeida, former OpenAI researcher and RLHF co-inventor. - Pricing: $0.042 per 1M input tokens. Output is free — no output tokens are generated. - Latency: 70–500ms end-to-end. - Context: 64k tokens. The 64k budget covers the state plus every question in the request. A second, tighter 32k limit applies to the state plus the single longest question. - Rate limits: 250,000 tokens per second and 1,200 requests per minute; either one over the line returns 429. - Option ceiling: Choice supports a cardinality up to 255 options; beyond that you need a two-stage funnel. - Modalities: Text only — no image or audio input at launch. - Open weights: no. Closed managed API only; no self-hosting or VPC option. - Endpoint: POST https://api.typesafe.ai/v1/systemone. Current version jev-1.13.0; routes jev-latest, jev-preview, jev-1.13.0. - SDKs: typesafe-sdk (Python), @typesafe-ai/sdk (JavaScript). - Primitives: Choice returns choice · probabilities{option} · confidence; Score returns score (0..n-1 weighted mean) · legend{index→label} · probabilities{index} · confidence; Noul returns noul (0-1 float) — and nothing else. - Gateway gotcha: Jev is a decisions model, so OpenRouter's /api/v1/chat/completions rejects it. The working endpoint is /api/alpha/decisions. It is also absent from catalogue listings because its modality is text->decisions rather than text->text, so searching a gateway for "jev" can return nothing while the model is live. Everything below in one file, for a single fetch: https://jev-agent.com/llms-full.txt ## Jev - [System One](https://jev-agent.com/system-one): The model class, and why it exists. - [Benchmarks](https://jev-agent.com/benchmarks): Vendor claims vs independent tests. - [Limitations](https://jev-agent.com/limitations): When not to use it. ## Compare - [Jev vs an LLM](https://jev-agent.com/jev-vs-llm): Same decision, both ways. - [Jev vs a classifier](https://jev-agent.com/jev-vs-classifier): When training your own still wins. ## Try it - [Chess demo](https://jev-agent.com/chess): Watch Jev pick legal moves, live. - [Wikirace demo](https://jev-agent.com/wikirace): One Choice hop at a time. - [Playground](https://jev-agent.com/playground): Run a call without a key. - [Use cases](https://jev-agent.com/use-cases): Eight patterns with measured output. - [In an agent](https://jev-agent.com/agents): Tool selection and confidence gating. - [Built with Jev](https://jev-agent.com/showcase): Verified projects, grouped by pattern. ## Developers - [API reference](https://jev-agent.com/api-reference): Primitives, shapes and gotchas. - [Cost & billing](https://jev-agent.com/pricing): What a decision actually costs. - [Free API key](https://jev-agent.com/api-access): Our endpoint, eight tuned rulesets. - [Get API access](https://jev-agent.com/getting-started): Waitlist and gateways. - [Open source](https://jev-agent.com/open-source): Reimplementations and agents. - [Sources](https://jev-agent.com/sources): Where the facts come from. ## Worked patterns with measured output - [Support ticket triage with Jev](https://jev-agent.com/use-cases/support-ticket-triage): Ask one Choice question for the queue and one Score question for severity in the same call — both come back in roughly the time one of them would take, for a fraction of a cent. - [LLM model routing with Jev](https://jev-agent.com/use-cases/llm-model-routing): Put a Choice question in front of your model cascade so a cheap fast model handles the easy majority and only genuinely hard requests reach a frontier model. - [Agent tool selection with Jev](https://jev-agent.com/use-cases/agent-tool-selection): Let Jev choose the tool and let an LLM fill in the arguments — the selection step stops scaling badly as your tool count grows. - [Content moderation with Jev](https://jev-agent.com/use-cases/content-moderation): Use Score for severity tiers and Noul for specific policy checks, then act on the probability rather than a hard label. - [Phishing and email security classification with Jev](https://jev-agent.com/use-cases/phishing-detection): Jev's single raw verdict lost on accuracy to a cheap LLM in an independent test — but combining five cheap signal questions from the same call beat it decisively. - [RAG passage classification and reranking with Jev](https://jev-agent.com/use-cases/rag-reranking): Score each retrieved passage for actual relevance to the question and drop the ones that only matched on embedding similarity. - [Agent output guardrails with Jev](https://jev-agent.com/use-cases/agent-output-guardrails): Ask several yes/no verification questions about a draft response in one parallel call, and block or regenerate when any probability crosses your line. - [Lead scoring and qualification with Jev](https://jev-agent.com/use-cases/lead-scoring): Score fit and intent against your own rubric, and route the hot ones to a human immediately rather than in tomorrow's batch. ## Start here - [Get API access](https://jev-agent.com/getting-started): Waitlist, gateways that already carry Jev, and a first request. - [Official documentation](https://docs.typesafe.ai): The vendor's own docs. Where this site and the official docs disagree, the official docs are correct. ## Optional - [Sources and editorial policy](https://jev-agent.com/sources): Where every fact here comes from and how it is checked.