Jev AI Model (Typesafe.ai) security protection and vulnerability scanner tools
Applications for Jev — page 41
1810 repositories with documented relationships and source evidence.
Empirical experiments and API research for TypeSafe's Jev System One model trained using RLCD
Render a versioned verdict schema to self-contained SVG and optional PNG with zero runtime dependencies.
Jev (TypeSafe AI's System One model) playing chess against itself, graded by Stockfish
Jev中文体验台:TypeSafe Jev 的中文可视化操作台,支持手机访问、登录额度与结构化概率判断。
Reproducible experiments on prompting criteria in TypeSafe's Jev — how much of a classifier's behaviour is yours to define
Qualitative coding at scale with Jev: apply a codebook to open-ended text, review uncertain items, measure agreement against your human coders.
Maintain versioned semantic decisions as indexed PostgreSQL columns with a reclaimable work queue.
A demo for Jev (Typesafe AI)
An 8-bit computer built from one yes/no question asked to Jev (TypeSafe) — 24,511 NAND gates from a single API call
Connect Four played by TypeSafe's Jev System One model: one typed Choice per move, with Jev vs Jev personas and a baseline.
Conditional payoff proofs for prediction-market contracts with optional Jev semantic review.
Run a declared factorial audience grid through typed Jev reactions and expose disagreement.
Ticket-Routing im Kundenservice mit dem Entscheidungsmodell Jev von typesafe.ai
Resolve ambiguous joins between French public datasets with auditable candidates.
Same maze, same rules, N decision backends. A zero-key, zero-dependency arena that measures Jev / LLM / local decision models on speed, cost, calibration error (ECE) and invalid-output rate.
A general-purpose decision tool powered by TypeSafe Jev. Users bring their own API key.
Local web app for TypeSafe Jev decision probabilities
A concise TypeScript and Bun demo of TypeSafe Jev with live OpenAI comparisons.
a demo of Typesafe's Jev a System One Model for structured decsion making
Researching shared-axis comparison of independent divination readings with Jev / TypeSafe AI.