An optional AIAvatarKit component uses Jev to judge turn endings from speech transcripts.
Assesses utterance completeness and whether the user is likely to continue speaking.
Adds a semantic signal to silence-based turn detection.
A source-verified directory of 487 Jev projects — browser agents, model routers, SDKs and MCP servers — each one showing the exact decision it hands to Jev. Curated by the Awesome Jev community, mirrored here under MIT.
Give Jev the current state and a few options. Get the Agent’s next step.
Core call · setup in the full example
const nextStep = choice("What next?", { login: null, askUser: null, retry: null });
const { answers } = await client.systemOne({ state: "Login form is ready", questions: { nextStep } });
console.log(answers.nextStep.choice);Node.js 20+ · Set TYPESAFE_API_KEY on your server. This page shows code and makes no model requests.
An optional AIAvatarKit component uses Jev to judge turn endings from speech transcripts.
Assesses utterance completeness and whether the user is likely to continue speaking.
Adds a semantic signal to silence-based turn detection.
A dictation and meeting-notes app with optional Jev checks for topic changes, note-taker instructions and sensitive text.
Makes bounded transcript judgments for checkpoints, note-taking actions or screening before remote text cleanup.
Keeps model probabilities separate from local thresholds, switches and failure fallbacks.
A terminal Q&A app where OpenAI writes answers and Jev sets response policy and reviews drafts.
Judges response mode, depth, uncertainty and draft quality inside a LangGraph workflow.
Displays the answer alongside a structured decision report.
A Home Assistant conversation integration routing simple lighting commands to services and other requests to Grok.
Jev classifies the utterance and exposed devices; code chooses a lighting service or conversation path.
Provides a bounded lighting fast path rather than support for every smart-home command.
A community-maintained directory and radar for Jev, highlighting open-source projects with verified code and clear decision architectures.
Jev is TypeSafe's decision model. This directory groups projects by how they use choices, scores and probability judgements, with implementation links to help you assess fit for your own task.
TypeSafe ↗We prioritize open-source projects with clear Jev implementation evidence. Repositories without verifiable source code are excluded from the main directory.
Directory data and design from Awesome Jev by logicrw, used under the MIT License.