Applications for Jev — page 70

Local-first visual decision debugger and regression testbench for TypeSafe AI Jev

⚡ Token Saver & Fast Decision Layer for OpenAI Codex — powered by Jev

One DevTool for any Jev-powered application. Inspect every state, question, probability, decision and action. Replay decisions locally.

jevzen: an MIT-licensed Chrome extension demo that switches unwanted X posts to zen or cat photos using TypeSafe Jev and Effect.

Jump to projects by description, powered by zoxide and TypeSafe’s Jev

Merge-gate triage for a red CI run: cluster the failures, let TypeSafe Jev label the cause, and return Gate: PASS (infra noise) or Gate: BLOCK (a real failure). Playwright, Jest, pytest.

Un harnais pour que Jev — un modèle qui ne sait que choisir — joue à Pokémon Bleu. Quand il boucle, il manque un champ.

Ask the map anything. Every place answers with a probability. OpenStreetMap + Mapillary + TypeSafe Jev + Cactus Needle.

MOSS × Jev: a recorded-run 3D demo of the litter-picking rover choosing targets with TypeSafe's Jev decision model.

Natural-language command line suggestions for any CLI, powered by TypeSafe Jev (no LLM, ~0.5s)

Classify the Omarchy issue backlog with Jev, TypeSafe's System One model. Ten typed questions per issue in one request, for a hundredth of a cent each.

Native omp (oh-my-pi) extension: TypeSafe Jev judgment tools — token efficiency, confidence routing, citation verification

Optional typed TypeSafe AI Jev decisions for OpenClaw, with SecretRef credentials and strict API validation.

Agency-ready build prompt for a Personal Decision Inbox powered by TypeSafe AI (Jev). Full end-to-end spec: architecture, UI, integrations, deployment.

Experimental Pi extension using TypeSafe Jev for auditable tool-history compaction

TypeSafe Jev (System One judgments) for Pi: zero-dependency jev_ask tool with question linting, model discovery, and budget caps

Ask the Potpie docs a question, get the exact paragraph that answers it. Extractive search powered by Jev (TypeSafe System One) — no LLM, no embeddings, nothing generated.

Vite demo: TypeSafe Jev checks whether text contains profanity