An 8-bit computer built from one yes/no question asked to Jev (TypeSafe) — 24,511 NAND gates from a single API call
Applications — page 68
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
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
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A concise TypeScript and Bun demo of TypeSafe Jev with live OpenAI comparisons.
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a demo of Typesafe's Jev a System One Model for structured decsion making
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No project description available.
Researching shared-axis comparison of independent divination readings with Jev / TypeSafe AI.
Run visible criterion-by-criterion text duels and honestly progressive elimination brackets with Jev.
Decide which code-migration sites can be safely auto-rewritten, using Jev's calibrated probability entropy. AST matching, triage, auto-rewrite, self-calibration.
Experiments with TypeSafe Jev — a Gmail organiser built on typed System One decisions
Trace DeFi incident exposure through sourced portfolio dependencies with optional Jev classification.
Turn documents into typed records with bounded, auditable Jev questions and deterministic aggregation.
Using jev to filter out articles from RSS feed that clog it up.
2D fighting demo where TypeSafe's Jev (System One) makes real-time decisions
Group errors by underlying cause after normalization and exact grouping, with representative comparisons.
Scripts and raw results for a first hands-on look at Jev, TypeSafe AI's System One decision model: calibration, latency, edge cases, and a plain-LLM baseline.
A first-principles rebuild of TypeSafe's Jev: the non-autoregressive System One decision model, dissected and measured against a world whose Bayes posterior is computable
Static code scanner (SAST linter) that finds insecure usage of Jev / TypeSafe guardrails in Python. Not a guardrail itself — build-time analysis, offline, no API key.