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Jev AI turns text and JSON into structured Yes/No, Choice, and Score decisions with probabilities. Test workflows in the Playground, process CSV, TXT, or JSONL batches, and integrate typed decisions through the Jev API.
JevModel is an independent, bilingual guide and browser workbench for TypeSafe's Jev decision model, aimed at developers and product teams who need a judgment their code can act on. Instead of free-form prose, Jev returns a typed answer: one choice from a set you define, a score on a scale, or the probability that a statement is true. The Jev Workbench ships ten editable workflow presets covering support routing, lead scoring, agent action gating, incident triage, release readiness and more; edit the state and questions and run a real decision in the browser. Each account gets five free runs per UTC day plus a one-time 100K token grant. Thirty-plus guides cover the API, question types, access paths, comparisons with LLM prompts and rules engines, and evaluation.
Jev Model is a System One decision model for developers. It accepts shared state as text, JSON objects, or arrays of text and answers up to eight Choice, Score, or Noul questions in parallel, returning structured outputs with probabilities that applications can use for classification, routing, scoring, guardrails, and human-review workflows. The website provides a free unlimited online playground, documentation, API access, and paid access plans.
An independent playground and API for turning text into structured classification, scoring, and yes-or-no decisions with probabilities. Use it free in the browser after sign in, with saved configurations and run history; buy credits for HTTP API integration in routing, agent workflows, and citation verification.
Jev AI is a TypeSafe AI System One model and developer platform for turning shared state into typed decisions with probabilities. It supports classification, routing, scoring, safety checks, and agent workflows through an online playground, SDK or REST API, with Choice, Score, and Noul question types.
Pi Copilot lets teams build custom evaluation and scoring systems to assess and benchmark LLM performance.
AI-powered IP scoring software for fraud and bot traffic protection.
Enterprise-grade lead scoring platform for optimizing funnels and increasing MQL to Opp conversion.
AI-powered data analysis and visualization tool; also used for launch platform scoring.
Automates candidate screening by generating questions, analyzing responses, and scoring applicant compatibility.
Free PTE Academic and Core exam preparation platform with AI-powered scoring and practice tools.
No-code ML platform for predictive analytics, lead scoring, and churn prevention.