TypeSafe AI@typesafeaiOFFICIALTypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe AI@typesafeaiOFFICIALTypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
x.comAnswers your code can use詳しく見る ↗
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe AI@typesafeaiOFFICIALTypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyone詳しく見る ↗Four official signals. A fresh starting point on each visit.
15 件の資料
AI-assisted summaries and translations. Check original sources for context and performance claims.
A tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
Source-linked curation
Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
Source-linked curation
Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.
Source-linked curation
Claude Code plugin that scores review findings, debug hypotheses and design options with TypeSafe's Jev — calibrated probabilities instead of one more opinion.
github.combuchmark/claude-jev詳しく見る ↗Source-linked curation
A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
Source-linked curation
A tool that analyzes WeChat threads for emotion, intent, and reply quality.
github.comFerryCorleone/crush-monitor詳しく見る ↗Source-linked curation
Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text.
github.comGaurav-Gosain/jev-go詳しく見る ↗Source-linked curation
Mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.
github.comr-ms/mini-jev詳しく見る ↗Source-linked curation
A developer project using Jev to score sales calls, collected for the creative shelf.
github.comZeroGold/call-coach-ai詳しく見る ↗Source-linked curation
Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.
github.comaabolfazl/typesafe-local詳しく見る ↗Source-linked curation
Visual-Jev is a GitHub research project that makes decisions based on images rather than text descriptions of visual content.
github.comandrueandersoncs/visual-jev詳しく見る ↗Source-linked curation
Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit.
github.comChetasLua/jevmeter詳しく見る ↗Source-linked curation
A SillyTavern extension that evaluates replies before they are displayed, collected for the creative shelf.
github.commossyfield/ST-jeved詳しく見る ↗Source-linked curation
Fork of OpenPoke where the yes/no decisions go to Jev instead of Claude Sonnet, with a same-inputs A/B against the replaced LLM decision and a 43,776-request adversarial run on the injection gate.
github.com0xShin0221/openpoke-meets-jev詳しく見る ↗Source-linked curation
A GitHub project developing a screen overlay to identify manipulative interface patterns.
github.comzohaib-md/UXRay詳しく見る ↗Source-linked curation
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