A System-1 reflex layer for Claude Code, powered by TypeSafe AI's Jev — route/gate tool calls, verify output, judge completion, and compose decision trees.
Applications — page 30
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
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Jev picks, you watch. A hybrid movie recommender: fast semantic + keyword search narrows 4,800 films to a shortlist, then TypeSafe Jev reads your constraints and picks the one film that fits - with a confidence score that decides whether to answer instantly or ask a follow-up.
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A policy engine for LLM decisions: declare routes, gates and actions once in TypeScript or Python, and every decision comes validated, explainable, replayable and audited.
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PostgreSQL-compatible query language powered by TypeSafe Jev System One models
No project description available.
Run the Laya System One decision model locally behind TypeSafe's Jev wire API, with a demo page
A proof of concept implementation of TypeSafe's Jev API, backed by local Laya checkpoints.
Use TypeSafe's Jev model to auto-tag the current Obsidian note, picking from the tags you already use.
No project description available.
No project description available.
Polymarket resolution-lag scanner built on TypeSafe's Jev model. Finds markets where a published fact already satisfies the written resolution rules but the price has not caught up. Alert-only.
No project description available.
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Escribe un tema y mira cómo Jev (TypeSafe) juzga 100 videos de YouTube en segundos. Corre en tu propia cuenta de Cloudflare.
Proof of concept: auto-tagging and triage of Readwise Reader articles using TypeSafe AI's Jev
Resume-to-job-description fit classification using TypeSafe AI's Jev model via LangChain
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PT-BR-first, local decision engine for typed decisions at volume.
Find the LLM calls you should move to JEV — scan logs & code for decision-shaped calls, price the migration, calibrate decision models, generate the migration PR. Zero deps, fully local.
One CLI and Jev-compatible API for local and hosted typed-decision backends (planning)
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Every new Chrome tab sorts itself into the right tab group in ~150ms using Jev (TypeSafe). Bring your own key. MV3, no dependencies, MIT.
衆目 / THE HUNDRED EYES — Interactive media art with Jev Choice + Score: one post, 100 fictional perspectives, four amplified voices, then the whole audience.
No project description available.
Typed AI decisions for .NET: ask Jev (TypeSafe AI System One) yes/no, choice and score questions and get a C# enum with calibrated probabilities back.
No project description available.
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Jev-compatible adapter for vLLM: use any vLLM-served LLM for Choice, Score, and Noul decisions via logprobs—without modifying the model or vLLM service.