JevModel.app
Independent browser workbench for structured AI decisions: run Choice, Score and Noul questions with text or JSON, explore editable presets, and use the API.
Independent browser workbench for structured AI decisions: run Choice, Score and Noul questions with text or JSON, explore editable presets, and use the API.
This page is designed to help you find out whether JevModel.app is good and if it is the right choice for you.
Jev Model Guide is an independent browser workspace and bilingual guide for structured AI decisions. Use Choice, Score, and Noul questions to classify, review, score, or route text and JSON. Start with editable Playground examples, then build visual Decision Flows with question and outcome nodes, confidence thresholds, and an uncertainty branch. Save and test flows, run them through an API, or process CSV, TXT, and JSONL batches with pause/resume, retries, and CSV/JSONL export. The Console includes run history, API keys, and token balance. JevModel is independently operated and is not affiliated with TypeSafe AI.
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Visual Decision Flows
Build and save node-based Choice, Score, and Noul flows with outcomes, confidence thresholds, and an uncertainty branch. Test flows in the browser or run them through the API.
Batch Processing
Import CSV, TXT, or JSONL files; track progress, pause or resume, retry failed rows, and export results as CSV or JSONL.
Playground & API
Test structured decisions on text or JSON in the browser, then call saved flows through the API. The Console also includes run history, API keys, and token balance.
Jev Model Guide combines an independent bilingual guide with a focused workspace for structured AI decisions. Run Choice, Score, and Noul questions on text or JSON, build visual flows with explicit outcomes and uncertainty branches, then test or call those flows through an API. Batch tools handle CSV, TXT, and JSONL files. It is designed for structured decisions rather than general-purpose chatbot building.
JevModel does not currently publish a customer roster or customer case studies, so we cannot name a largest customer. The product is available to individual developers and teams building structured AI decision workflows.
Choose Jev Model Guide when you need a focused way to classify, score, and route text or JSON with Choice, Score, or Noul decisions. You can prototype in the Playground, connect explicit outcomes and uncertainty branches in a visual flow, process batches, and run saved flows through an API. The bilingual guides help teams get started. It is best suited to structured decision tasks, rather than every general-purpose AI workflow.
Jev Model Guide is for developers and AI practitioners, plus product or operations teams that need to classify, review, score, or route text and JSON. Typical tasks include support triage, lead scoring, moderation, and other repeatable decisions that can be expressed as questions, outcomes, and confidence thresholds. It is useful for teams that want to prototype in a browser and then integrate a saved flow through an API.
Jev Model Guide began as an independent bilingual guide and browser workspace for exploring structured decisions with the Jev model. It has grown from examples and API documentation into a console with a Playground, visual Decision Flows, batch processing, run history, and API access. The goal is to make it practical to try a decision, inspect its outcome, and integrate a saved flow. JevModel is independently operated and is not affiliated with TypeSafe AI.
JevModel is built with TanStack Start, React, and TypeScript. It uses Drizzle ORM with PostgreSQL for application data, and is hosted on Vercel with Supabase Postgres. The console exposes Jev decision workflows through its web interface and API.
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