Interactive Jev demo: Noul vs yes/no Choice disagree (TypeSafe jev-1.13 jaggedness)
Jev ecosystem projects — page 119
5191 repositories with documented relationships and source evidence.
You drive Pac-Man; Jev — TypeSafe AI's decision model — drives the ghosts hunting you, one real typed decision per turn. Single-file, no build. Play free: jevtypesafeai.com/games/jev-pacman
Extracting repeating patterns from noisy sequences with Jev (TypeSafe System One) — code proposes, model disposes
pi extension: TypeSafe Jev picks the model for each turn, only from models pi can use
pi extension: TypeSafe Jev decisions as tools (search, rerank, supervise, pick) and hooks (skill select, compaction)
Evaluate pull request risk with Jev and expose review depth plus recommended checks to CI.
C++ trading system leveraging TypeSafe Jev.
Experimental receipt country classification with Typesafe Jev and OCR, evaluated on multilingual text and image datasets from Hugging Face.
A portable Jev decision sidecar for coding agents: MCP, CLI, pi, source-bound context, durable budgets and measured outcomes.
Gate release risk from commits, tests, vulns, and incidents. Jev returns proceed, warn, hold, or review.
Performance and architectural analysis of the new "Jev" model by TypeSafe AI.
Recommend scale-down, keep, scale-up, or review from resource metrics with typed Jev decisions. Never changes infrastructure.
Suggest PR reviewers from CODEOWNERS, history, paths, labels, and teams. Jev decides; assignment stays explicit.
Reproducible experiment: can TypeSafe's Jev decision model prioritize SCA and SAST findings from context? Frozen benchmark, 50k scale run, frontier-model comparison, raw data and blog.
Gate SAST, SCA, IaC, secrets, and container findings with Jev. Returns PASS, WARN, BLOCK, or REVIEW without hiding findings.
Type words that fit a clue; Jev scores each and your car races ahead. Single-file, no build. Play free: jevtypesafeai.com/games/jev-semantic-racer
Sub-15ms context-window observability, deterministic decision gating, runtime self-healing, and continuous self-improving for AI agents using TypeSafe AI's Jev.
Route each task to the one tool an agent should call, with Jev — with confidence. Single-file, no build. Use free: jevtypesafeai.com/tools/jev-skill-router
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A live support reply co-pilot built on TypeSafe AI's Jev model, evaluating tone, commitment risk, escalation, and predicted satisfaction in one parallel call while you type. Deployed on Cloudways Velocity.
Shell command risk assessment with Jev (TypeSafe System One) via OpenRouter
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Does a model with no training data beat a trained spam classifier? Measured benchmark of TypeSafe Jev vs Naive Bayes, LinearSVC and Claude Haiku 4.5 on two public spam corpora.
Select which allowlisted test groups to run after a change. Jev decides; your workflow stays in control.
An agent plays Slay the Spire 2. Single-call factored decisions via TypeSafe Jev: 15x faster and 259x cheaper than Claude on identical state. Fork of alexmeckes/jev-the-spire (MIT).