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Every caller shares one model"],"links":[{"url":"https://github.com/frostney/clean-code-review","label":"GitHub repository"},{"url":"https://clean-code-review.vercel.app","label":"Website"},{"url":"https://clean-code-review.vercel.app","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/frostney/clean-code-review","method":"github-api+readme"},"tags":["agents","ai","ai-gateway","ai-sdk","clean-code","code-quality","code-review","developer-tools","eve","jev","llm","nextjs","pull-request","static-analysis","typescript","vercel"],"preview":{"kind":"snippet","lines":["browser \u2500\u2500\u2500\u2500 judge turn \u2500\u2500\u2500\u2500\u25b6 eve session \u2500\u2500\u25b6 Jev, one call per file (parallel)","        \u25c0\u2500\u2500 34 answers/file \u2500\u2500               typesafe-ai/jev via AI Gateway","browser \u2500\u2500\u2500\u2500 summarize turn \u2500\u25b6 eve session \u2500\u2500\u25b6 Luna, one call per 6 files + 1 overall","        \u25c0\u2500\u2500 streamed review \u2500\u2500               openai/gpt-5.6-luna-fast via AI Gateway"],"sourceUrl":"https://github.com/frostney/clean-code-review"},"stars":{"value":4,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"diffjury","name":"diffjury","maker":"raihankhan-rk","makerUrl":"https://github.com/raihankhan-rk","url":"https://github.com/raihankhan-rk/diffjury","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"DiffJury \u2014 TypeSafe Jev PR risk router + code review coach","figures":[],"links":[{"url":"https://github.com/raihankhan-rk/diffjury","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/raihankhan-rk/diffjury","method":"github-api"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"hermes-jev","name":"hermes-jev","maker":"keeltrace","makerUrl":"https://github.com/keeltrace","url":"https://github.com/keeltrace/hermes-jev","category":"agent-tooling","primitives":[],"platform":"Python","added":"2026-09-18","created":"2026-09-18","summary":"Typed System One decisions, ranking, verification, and an opt-in Hermes tool gate using TypeSafe Jev.","figures":[],"links":[{"url":"https://github.com/keeltrace/hermes-jev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/keeltrace/hermes-jev","method":"github-api"},"tags":[],"preview":{"kind":"snippet","lines":["hermes config set plugins.entries.hermes-jev.settings.jev_model typesafe/jev-1.13 --force","hermes config set plugins.entries.hermes-jev.settings.timeout_seconds 15 --force"],"sourceUrl":"https://github.com/keeltrace/hermes-jev"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"hermes-jev-approvals","name":"hermes-jev-approvals","maker":"anpicasso","makerUrl":"https://github.com/anpicasso","url":"https://github.com/anpicasso/hermes-jev-approvals","category":"agent-tooling","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-18","created":"2026-09-17","summary":"PoC: TypeSafe Jev as the reviewer for Hermes Agent smart command approvals. 8.7x faster, 4.4x fewer prompts, measured on 153 real commands. Approvals only.","figures":["9.8x faster, 4.2x fewer interruptions, same commands, same code path","Six questions cost the same as one: 345 ms average across the 20-case suite, versus 439 ms"],"links":[{"url":"https://github.com/anpicasso/hermes-jev-approvals","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/anpicasso/hermes-jev-approvals","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["hermes plugins install anpicasso/hermes-jev-approvals/plugin --no-enable","hermes auth add jev-approval        # paste your TypeSafe key when prompted","hermes config set auxiliary.approval.provider jev-approval","hermes config set auxiliary.approval.model jev-latest","hermes gateway restart              # no hot reload for Python plugins"],"sourceUrl":"https://github.com/anpicasso/hermes-jev-approvals"},"stars":{"value":4,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-borislemeec","name":"jev (BorisLeMeec)","maker":"BorisLeMeec","makerUrl":"https://github.com/BorisLeMeec","url":"https://github.com/BorisLeMeec/jev","category":"agent-tooling","primitives":["choice","score","noul"],"platform":"Go","added":"2026-09-18","created":"2026-09-17","summary":"A claude code plugin for jev","figures":[],"links":[{"url":"https://github.com/BorisLeMeec/jev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/BorisLeMeec/jev","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":5,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jevex","name":"jevex","maker":"jvsteiner","makerUrl":"https://github.com/jvsteiner","url":"https://github.com/jvsteiner/jevex","category":"agent-tooling","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"jevex \u2014 a agent tooling project built on Jev.","figures":[],"links":[{"url":"https://github.com/jvsteiner/jevex","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/jvsteiner/jevex","method":"github-api"},"tags":[],"preview":{"kind":"snippet","lines":["uv sync --group dev","cp .env.example .env","# Fill in TYPESAFE_API_KEY and OPENAI_API_KEY in .env.","uv run jevex 'Read prices.md. How much do three notebooks cost?' --trace run.jsonl"],"sourceUrl":"https://github.com/jvsteiner/jevex"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"pi-quiet-ask","name":"pi-quiet-ask","maker":"HyunjunJeon","makerUrl":"https://github.com/HyunjunJeon","url":"https://github.com/HyunjunJeon/pi-quiet-ask","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"TypeSafe Jev as the pi coding agent's quiet decision layer","figures":[],"links":[{"url":"https://github.com/HyunjunJeon/pi-quiet-ask","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/HyunjunJeon/pi-quiet-ask","method":"github-api"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"riff","name":"riff","maker":"scale-venture-partners","makerUrl":"https://github.com/scale-venture-partners","url":"https://github.com/scale-venture-partners/riff","category":"agent-tooling","primitives":["choice","noul"],"platform":"Python","added":"2026-09-18","created":"2026-09-17","summary":"A small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model","figures":[],"links":[{"url":"https://github.com/scale-venture-partners/riff","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/scale-venture-partners/riff","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["# riff.toml","select = [\"RIF\", \"CLR\", \"JEV\"]          # omit to use every default-on rule","ignore = [\"JEV002\"]                      # drop reasoning-leak (noisy on reflective writing)","extend-select = [\"JEV401\"]               # turn on a default-off rule (passive voice)","jev = true                               # set false to skip semantic rules"],"sourceUrl":"https://github.com/scale-venture-partners/riff"},"stars":{"value":5,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"slidepilot","name":"slidepilot","maker":"harshil1712","makerUrl":"https://github.com/harshil1712","url":"https://github.com/harshil1712/slidepilot","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-18","summary":"Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev","figures":[],"links":[{"url":"https://github.com/harshil1712/slidepilot","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/harshil1712/slidepilot","method":"github-api"},"tags":["cloudflare-workers","jev","slidev","slidev-addon","typescript","voice","workers-ai"],"preview":{"kind":"snippet","lines":["pnpm install","cp apps/worker/.dev.vars.example apps/worker/.dev.vars","# Uncomment TYPESAFE_API_KEY in apps/worker/.dev.vars for real Jev inference.","# Terminal 1","pnpm dev:worker"],"sourceUrl":"https://github.com/harshil1712/slidepilot"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-cli-geilt","name":"typesafe-cli (geilt)","maker":"geilt","makerUrl":"https://github.com/geilt","url":"https://github.com/geilt/typesafe-cli","category":"agent-tooling","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments.","figures":[],"links":[{"url":"https://github.com/geilt/typesafe-cli","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/geilt/typesafe-cli","method":"github-api"},"tags":[],"preview":{"kind":"snippet","lines":["typesafe info                 # endpoints; does not print the key","typesafe models","typesafe smoke                # docs quickstart example","typesafe ask --state \"\u2026\" --noul is_urgent=\"Does this convey urgency?\"","typesafe ask --state-file s.json --questions-file q.json --json"],"sourceUrl":"https://github.com/geilt/typesafe-cli"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"ailerix","name":"ailerix","maker":"tylerjharden","makerUrl":"https://github.com/tylerjharden","url":"https://github.com/tylerjharden/ailerix","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"Type-safe model router. Jev (System One) banks each request to a typed catalog route.","figures":[],"links":[{"url":"https://github.com/tylerjharden/ailerix","label":"GitHub repository"},{"url":"https://ailerix.vercel.app","label":"Website"},{"url":"https://ailerix.vercel.app","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/tylerjharden/ailerix","method":"github-api"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"bicameral","name":"bicameral","maker":"AbdelStark","makerUrl":"https://github.com/AbdelStark","url":"https://github.com/AbdelStark/bicameral","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"Hybrid coding harness: System 2 writes, System 1 (Jev) runs reflexes.","figures":[],"links":[{"url":"https://github.com/AbdelStark/bicameral","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/AbdelStark/bicameral","method":"github-api"},"tags":["harness-engineering","hybrid-machine-learning","machine-learning"],"preview":{"kind":"plate"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"fast-dev-compaction","name":"fast-dev-compaction","maker":"leonaaardob","makerUrl":"https://github.com/leonaaardob","url":"https://github.com/leonaaardob/fast-dev-compaction","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-18","summary":"Codex plugin: verbatim Jev-guided context restoration around session compaction. Port of tamaratran/fast-jev-compaction to Codex lifecycle hooks.","figures":[],"links":[{"url":"https://github.com/leonaaardob/fast-dev-compaction","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/leonaaardob/fast-dev-compaction","method":"github-api"},"tags":["codex","codex-plugin","compaction","jev","typesafe"],"preview":{"kind":"snippet","lines":["npm install","npm run typecheck        # library","npm run check:hooks      # node --check on every hook script","npm test                 # unit tests, fake Jev, no network","npm run build            # emit dist/ (checked in: hooks import it)"],"sourceUrl":"https://github.com/leonaaardob/fast-dev-compaction"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jcm-router","name":"jcm-router","maker":"adarshmishra07","makerUrl":"https://github.com/adarshmishra07","url":"https://github.com/adarshmishra07/jcm-router","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"Local proxy that picks the Claude model and effort per message using TypeSafe Jev. Routes subagents, leaves your cached main chat alone.","figures":["Passthrough. Three crashes inside 60 seconds and the supervisor stops trying to route. It binds the port"],"links":[{"url":"https://github.com/adarshmishra07/jcm-router","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/adarshmishra07/jcm-router","method":"github-api"},"tags":[],"preview":{"kind":"snippet","lines":["Claude Code  --->  jcm-router (localhost:8787)  --->  api.anthropic.com","                        |","                        +--->  api.typesafe.ai (Jev: \"which model? how much effort?\")"],"sourceUrl":"https://github.com/adarshmishra07/jcm-router"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-guard","name":"jev-guard","maker":"leepokai","makerUrl":"https://github.com/leepokai","url":"https://github.com/leepokai/jev-guard","category":"agent-tooling","primitives":["choice","score","noul"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context (deny / ask / allow), flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cu","figures":[],"links":[{"url":"https://github.com/leepokai/jev-guard","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/leepokai/jev-guard","method":"github-api+readme"},"tags":["ai-agents","claude-code","codex","cursor","gemini-cli","hooks","jev","opencode","prompt-injection","security"],"preview":{"kind":"snippet","lines":["npm i -g jev-guard","jev-guard key \"\u2026\"                    # TypeSafe key from console.typesafe.ai, or a vck_\u2026 Vercel AI Gateway key","jev-guard install claude|codex|copilot|gemini|cursor|pi|opencode   # writes hooks into that agent's user config","jev-guard check Bash '{\"command\":\"rm -rf ~/\"}'","# DENY  jev-guard blocked this call (risk 3.0/3, approval p=0.98, confidence 0.99): Bash rm -rf ~/ \u2026"],"sourceUrl":"https://github.com/leepokai/jev-guard"},"stars":{"value":5,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-judgment","name":"jev-judgment","maker":"HyunjunJeon","makerUrl":"https://github.com/HyunjunJeon","url":"https://github.com/HyunjunJeon/jev-judgment","category":"agent-tooling","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Agent Skill: send closed coding-agent judgments to TypeSafe Jev","figures":[],"links":[{"url":"https://github.com/HyunjunJeon/jev-judgment","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/HyunjunJeon/jev-judgment","method":"github-api"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-mcp-rashedint32","name":"jev-mcp (rashedInt32)","maker":"rashedInt32","makerUrl":"https://github.com/rashedInt32","url":"https://github.com/rashedInt32/jev-mcp","category":"agent-tooling","primitives":["score"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"MCP server exposing TypeSafe Jev as typed, calibrated judgment tools: classify, score, check, batched ask. Ships as a Claude Code plugin.","figures":[],"links":[{"url":"https://github.com/rashedInt32/jev-mcp","label":"GitHub repository"},{"url":"https://www.npmjs.com/package/jev-mcp","label":"Website"},{"url":"https://www.npmjs.com/package/jev-mcp","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/rashedInt32/jev-mcp","method":"github-api"},"tags":["ai-agents","classification","claude-code","claude-code-plugin","jev","llm-tools","mcp","mcp-server","model-context-protocol","typesafe","typescript"],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-shield","name":"jev-shield","maker":"caiovicentino","makerUrl":"https://github.com/caiovicentino","url":"https://github.com/caiovicentino/jev-shield","category":"agent-tooling","primitives":[],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"Semantic MCP firewall powered by Jev \u2014 screens every tool call, tool result, and tool description with calibrated System One verification. 94% block recall, 0 false positives, ~$0.00002/check.","figures":["Measured in the bundled demo: 10 verifications, $0.0003 total, median latency 558ms"],"links":[{"url":"https://github.com/caiovicentino/jev-shield","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/caiovicentino/jev-shield","method":"github-api"},"tags":["ai-safety","mcp","prompt-injection","security","vercel-ai-gateway"],"preview":{"kind":"snippet","lines":["npx -y github:caiovicentino/jev-shield install-hooks     # opt in: hook + plugin (merges, never clobbers)","npx -y github:caiovicentino/jev-shield uninstall-hooks   # opt out: removes hook + plugin, keeps the skill","JEV_HOOK_OFF=1                                           # kill switch (env), JEV_FAIL_MODE=closed to fail closed"],"sourceUrl":"https://github.com/caiovicentino/jev-shield"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-skill-gate","name":"jev-skill-gate","maker":"ShivamPansuriya","makerUrl":"https://github.com/ShivamPansuriya","url":"https://github.com/ShivamPansuriya/jev-skill-gate","category":"agent-tooling","primitives":["score"],"platform":"JavaScript","added":"2026-09-18","created":"2026-09-17","summary":"Cut Claude Code's skill manifest by ~75% with TypeSafe Jev. Scores every installed skill for relevance and hides the rest via skillOverrides \u2014 12,750 \u2192 3,185 tokens on a 217-skill install, for $0.0009 a session.","figures":[],"links":[{"url":"https://github.com/ShivamPansuriya/jev-skill-gate","label":"GitHub repository"},{"url":"https://github.com/ShivamPansuriya/jev-skill-gate#does-it-pick-the-right-skills","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/ShivamPansuriya/jev-skill-gate","method":"github-api"},"tags":["agent-skills","ai-agents","ai-tooling","anthropic","claude","claude-code","claude-code-hooks","cli","context-engineering","context-management","context-window","cost-optimization","developer-tools","jev","llm","llm-tools","nodejs","prompt-engineering","token-optimization","typesafe-ai"],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-system-architect","name":"jev-system-architect","maker":"samtay32","makerUrl":"https://github.com/samtay32","url":"https://github.com/samtay32/jev-system-architect","category":"agent-tooling","primitives":["choice","score","noul"],"platform":null,"added":"2026-09-17","created":"2026-09-17","summary":"System-architecture skill for TypeSafe AI Jev/System One \u2014 find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.","figures":[],"links":[{"url":"https://github.com/samtay32/jev-system-architect","label":"GitHub repository"},{"url":"https://x.com/Kantorcodes/status/2100607286498488587","label":"Post on X"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/samtay32/jev-system-architect","method":"github-api"},"tags":[],"preview":{"kind":"snippet","lines":["# from this repo","cp -R skills/jev-system-architect ~/.cursor/skills/jev-system-architect","# or wherever your agent loads skills from"],"sourceUrl":"https://github.com/samtay32/jev-system-architect"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-workbench","name":"jev-workbench","maker":"molis-ai","makerUrl":"https://github.com/molis-ai","url":"https://github.com/molis-ai/jev-workbench","category":"agent-tooling","primitives":[],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-17","summary":"Build versioned judgment functions on TypeSafe's Jev once, then call the same published version from your backend over HTTP and from coding agents over MCP. The vendor key stays on your machine.","figures":[],"links":[{"url":"https://github.com/molis-ai/jev-workbench","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/molis-ai/jev-workbench","method":"github-api"},"tags":[],"preview":{"kind":"snippet","lines":["pip install typesafe-sdk","export TYPESAFE_BASE_URL=http://127.0.0.1:17420","export TYPESAFE_API_KEY=$JEV_CLIENT_TOKEN"],"sourceUrl":"https://github.com/molis-ai/jev-workbench"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jgrep","name":"jgrep","maker":"keltokhy","makerUrl":"https://github.com/keltokhy","url":"https://github.com/keltokhy/jgrep","category":"agent-tooling","primitives":["choice","score"],"platform":"Python","added":"2026-09-18","created":"2026-09-18","summary":"grep, but the pattern is a description. 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Stdlib Python.","figures":[],"links":[{"url":"https://github.com/aniruddh-krovvidi/switchboard","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/aniruddh-krovvidi/switchboard","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["client \u2500\u25ba POST /v1/chat/completions","            \u2502","            \u251c\u2500 1 Jev call, 4 questions in parallel (questions.py)","            \u2502     injection? harmful? pii?  (Noul each)      tier: small | large | unclear (Choice)","            \u251c\u2500 policy.py (pure code)   risk \u2265 0.80 \u2192 403 block \u00b7 0.40\u20130.80 \u2192 allow + flag for review"],"sourceUrl":"https://github.com/aniruddh-krovvidi/switchboard"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-demo-mcp","name":"typesafe-demo-mcp","maker":"bestagentkits","makerUrl":"https://github.com/bestagentkits","url":"https://github.com/bestagentkits/typesafe-demo-mcp","category":"agent-tooling","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"MCP server exposing TypeSafe System One judgments (noul, choice, score) as agent tools","figures":[],"links":[{"url":"https://github.com/bestagentkits/typesafe-demo-mcp","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/bestagentkits/typesafe-demo-mcp","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafeai-review","name":"typesafeai-review","maker":"rbalch","makerUrl":"https://github.com/rbalch","url":"https://github.com/rbalch/typesafeai-review","category":"agent-tooling","primitives":["score"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Using Typesafe.AI to generate diff reviews.","figures":[],"links":[{"url":"https://github.com/rbalch/typesafeai-review","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/rbalch/typesafeai-review","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"zcode-jev","name":"zcode-jev","maker":"Zahrannnn","makerUrl":"https://github.com/Zahrannnn","url":"https://github.com/Zahrannnn/zcode-jev","category":"agent-tooling","primitives":["noul"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"Typed judgment layer for coding agents \u2014 gates from PRD to ship. 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Maker-reported: Z\u00fcrich \u2192 London on Google Flights in 7.1 seconds end to end."},{"id":"typesafe-computer-use","name":"typesafe-computer-use","maker":"awlevin","makerUrl":"https://github.com/awlevin","url":"https://github.com/awlevin/typesafe-computer-use","category":"browser-computer-use","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.","figures":[],"links":[{"url":"https://github.com/awlevin/typesafe-computer-use","label":"GitHub repository"},{"url":"https://x.com/awlevin/status/2100262612428894676","label":"Post on X"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/awlevin/typesafe-computer-use","method":"github-api+readme"},"tags":["ai-agents","automation","computer-use","macos","ocr","typesafe"],"preview":{"kind":"snippet","lines":["git clone https://github.com/awlevin/typesafe-computer-use","cd typesafe-computer-use","uv sync","cp .env.example .env     # fill in the keys"],"sourceUrl":"https://github.com/awlevin/typesafe-computer-use"},"stars":{"value":215,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"mobile-jev","name":"mobile-jev","maker":"droidrun","makerUrl":"https://github.com/droidrun","url":"https://github.com/droidrun/mobile-jev","category":"browser-computer-use","primitives":[],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"\u2014 Jev opens Uber, enters a route from San Francisco Airport to the Golden Gate Bridge, and reaches payment selection. 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Library, CLI and MCP server.","figures":[],"links":[{"url":"https://github.com/Ying-Kai-Liao/jev-browser","label":"GitHub repository"},{"url":"https://x.com/0xLogicrw/status/2100478725393686556","label":"Post on X"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Ying-Kai-Liao/jev-browser","method":"github-api+readme"},"tags":["browser-automation","llm-agents","mcp","mcp-server","playwright"],"preview":{"kind":"plate"},"stars":{"value":11,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"xtags","name":"xtags","maker":"manifoldor","makerUrl":"https://github.com/manifoldor","url":"https://github.com/manifoldor/xtags","category":"browser-computer-use","primitives":["choice","noul"],"platform":"JavaScript","added":"2026-09-18","created":"2026-09-18","summary":"\u5728 X \u7684\u65f6\u95f4\u7ebf\u4e0a\uff0c\u7ed9\u6bcf\u6761\u5e16\u5b50\u6807\u51fa\u5b83\u60f3\u8ba9\u4f60\u5e72\u4ec0\u4e48\u3002\u5224\u65ad\u6765\u81ea Jev\uff0c\u4e00\u4e2a\u53ea\u8fd4\u56de\u6982\u7387\u3001\u4e0d\u751f\u6210\u6587\u672c\u7684\u6a21\u578b\u3002","figures":[],"links":[{"url":"https://github.com/manifoldor/xtags","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/manifoldor/xtags","method":"github-api+readme"},"tags":["ai","chrome-extension","jev","typesafe","userscript","x-twitter"],"preview":{"kind":"snippet","lines":["content.js   \u8bfb DOM\u3001\u63d0\u53d6\u5e16\u5b50\u3001\u6e32\u67d3\u6807\u7b7e\u3001\u7f13\u5b58","     \u2193 chrome.runtime.sendMessage","background.js (service worker)  \u552f\u4e00\u53d1\u8bf7\u6c42\u7684\u5730\u65b9","     \u2193 fetch","api.typesafe.ai"],"sourceUrl":"https://github.com/manifoldor/xtags"},"stars":{"value":5,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-browser-vinilana","name":"jev-browser (vinilana)","maker":"vinilana","makerUrl":"https://github.com/vinilana","url":"https://github.com/vinilana/jev-browser","category":"browser-computer-use","primitives":["choice"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"A hybrid browser usage harness in TypeScript: an OpenRouter LLM turns goals into verifiable subgoals, Jev chooses each action and DOM field, OpenRouter generates text whenever a field needs filling, and Playwright execut","figures":[],"links":[{"url":"https://github.com/vinilana/jev-browser","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/vinilana/jev-browser","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["npm start -- --goal 'register a user on example.com' \\","  --value 'name=Test User' \\","  --value 'email=user@example.com' \\","  --value 'password=a-test-password' \\","  --headed"],"sourceUrl":"https://github.com/vinilana/jev-browser"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"live-jev","name":"live-jev","maker":"vinilana","makerUrl":"https://github.com/vinilana","url":"https://github.com/vinilana/live-jev","category":"browser-computer-use","primitives":["choice","score","noul"],"platform":"JavaScript","added":"2026-09-18","created":"2026-09-18","summary":"2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model","figures":[],"links":[{"url":"https://github.com/vinilana/live-jev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/vinilana/live-jev","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["npm install","cp .env.example .env      # TYPESAFE_API_KEY from https://console.typesafe.ai/settings/keys","                          # optional OPENROUTER_API_KEY for the comparison mode","npm start                 # http://localhost:3000"],"sourceUrl":"https://github.com/vinilana/live-jev"},"stars":{"value":5,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"askjev","name":"AskJev","maker":"ranjan2829","makerUrl":"https://github.com/ranjan2829","url":"https://github.com/ranjan2829/AskJev","category":"browser-computer-use","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-17","summary":"AskJev \u2014 Jev autopilot for any website + guard on irreversible clicks (TypeSafe System One, not Claude)","figures":[],"links":[{"url":"https://github.com/ranjan2829/AskJev","label":"GitHub repository"},{"url":"https://docs.typesafe.ai/introduction","label":"Website"},{"url":"https://docs.typesafe.ai/introduction","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/ranjan2829/AskJev","method":"github-api+readme"},"tags":["browser-automation","chrome-extension","jev","mv3","typesafe","typescript"],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"computer-use","name":"computer_use","maker":"paulsmith","makerUrl":"https://github.com/paulsmith","url":"https://github.com/paulsmith/computer-use-jev","category":"browser-computer-use","primitives":["choice"],"platform":"Go","added":"2026-09-17","created":"2026-09-16","summary":"macOS computer use driven by Jev (TypeSafe System One) as the decision maker","figures":[],"links":[{"url":"https://github.com/paulsmith/computer-use-jev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/paulsmith/computer-use-jev","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["computer-use-jev -goal 'in TextEdit, type \"hello world\"'","computer-use-jev -goal 'open Safari and take a screenshot' -json","computer-use-jev -goal '...' -dry-run        # decide, don't act","computer-use-jev -goal '...' -max-steps 24"],"sourceUrl":"https://github.com/paulsmith/computer-use-jev"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-browser-tontoko","name":"jev-browser (tontoko)","maker":"tontoko","makerUrl":"https://github.com/tontoko","url":"https://github.com/tontoko/jev-browser","category":"browser-computer-use","primitives":["choice"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.","figures":[],"links":[{"url":"https://github.com/tontoko/jev-browser","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/tontoko/jev-browser","method":"github-api+readme"},"tags":["browser-automation","cli","jev","mcp","playwright","typescript"],"preview":{"kind":"snippet","lines":["npx jev-browser open https://example.com --session work","npx jev-browser snapshot --session work","# Use the ref returned by snapshot, or a caller-authored Playwright selector:","npx jev-browser click 'a' --session work","npx jev-browser take_screenshot --args '{\"filename\":\"page.png\",\"fullPage\":true}' --session work"],"sourceUrl":"https://github.com/tontoko/jev-browser"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-ego","name":"jev-ego","maker":"romaluev","makerUrl":"https://github.com/romaluev","url":"https://github.com/romaluev/jev-ego","category":"browser-computer-use","primitives":["choice"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"Fast browser agent for ego lite. One TypeSafe request per step; an agent or Jev picks the move.","figures":[],"links":[{"url":"https://github.com/romaluev/jev-ego","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/romaluev/jev-ego","method":"github-api+readme"},"tags":["ai-agent","browser-agent","cdp","cli","ego-browser","ego-lite","jev","typesafe","typesafe-ai","typescript","web-automation"],"preview":{"kind":"snippet","lines":["pnpm exec jev-ego serve --url https://en.wikipedia.org/wiki/Main_Page \\","  --goal 'Find and open the Wikipedia article about G\u00f6del\u2019s incompleteness theorems.'","pnpm exec jev-ego observe","pnpm exec jev-ego suggest","pnpm exec jev-ego act CLICK 4"],"sourceUrl":"https://github.com/romaluev/jev-ego"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-frontend-qa","name":"jev-frontend-qa","maker":"Nainish-Rai","makerUrl":"https://github.com/Nainish-Rai","url":"https://github.com/Nainish-Rai/jev-frontend-qa","category":"browser-computer-use","primitives":["choice","score"],"platform":"Python","added":"2026-09-18","created":"2026-09-17","summary":"Evidence-driven frontend QA built on Jev Ultrafast and Browser Harness, with a synthetic todo demo.","figures":[],"links":[{"url":"https://github.com/Nainish-Rai/jev-frontend-qa","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Nainish-Rai/jev-frontend-qa","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-shield-vmendes90","name":"jev-shield (vmendes90)","maker":"vmendes90","makerUrl":"https://github.com/vmendes90","url":"https://github.com/vmendes90/jev-shield","category":"browser-computer-use","primitives":["score","noul"],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-18","summary":"Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev","figures":[],"links":[{"url":"https://github.com/vmendes90/jev-shield","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/vmendes90/jev-shield","method":"github-api+readme"},"tags":["ad-blocker","adblock","adblocker","ai","chrome-extension","manifest-v3","open-source","privacy","typesafe"],"preview":{"kind":"snippet","lines":["# Clone the repository","git clone https://github.com/vmendes90/jev-shield.git","cd jev-shield","# Install dependencies","npm install"],"sourceUrl":"https://github.com/vmendes90/jev-shield"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"almond-fastloop","name":"almond-fastloop","maker":"eriestra","makerUrl":"https://github.com/eriestra","url":"https://github.com/eriestra/almond-fastloop","category":"browser-computer-use","primitives":["choice"],"platform":"HTML","added":"2026-09-17","created":"2026-09-17","summary":"Almond-fastloop: Almond's browser computer-use rig (Chrome DevTools + TypeSafe Jev), and the Browser Use Olympics benchmark it is measured on.","figures":[],"links":[{"url":"https://github.com/eriestra/almond-fastloop","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/eriestra/almond-fastloop","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["open -na \"Google Chrome\" --args --remote-debugging-port=9333 --user-data-dir=/tmp/fastloop-profile --no-first-run","echo 'TYPESAFE_API_KEY=...' > ~/.config/typesafe/env   # chmod 600","node olympics.mjs            # full course, no planner; registers as \"Almond-fastloop\"","BUO_PLANNER=1 node olympics.mjs   # same course with a Sonnet planning call before the clock","node almond-fastloop.mjs task_booking.json   # single task"],"sourceUrl":"https://github.com/eriestra/almond-fastloop"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"barrunto","name":"barrunto","maker":"elpumberto","makerUrl":"https://github.com/elpumberto","url":"https://github.com/elpumberto/barrunto","category":"browser-computer-use","primitives":[],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"A Chrome extension that brings TypeSafe's Jev to X.com to analyze posts as you browse","figures":[],"links":[{"url":"https://github.com/elpumberto/barrunto","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/elpumberto/barrunto","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-browse","name":"jev-browse","maker":"kyrylosyzonenko","makerUrl":"https://github.com/kyrylosyzonenko","url":"https://github.com/kyrylosyzonenko/jev-browse","category":"browser-computer-use","primitives":[],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-16","summary":"jev-browse drives a real browser with making every decision and performing every action. You give it a goal, such as open the Hacker News FAQ. Jev picks each click, chooses which of your texts to type into which box, and","figures":[],"links":[{"url":"https://github.com/kyrylosyzonenko/jev-browse","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/kyrylosyzonenko/jev-browse","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["claude mcp add jev-browse -e TYPESAFE_API_KEY=YOUR_API_KEY -- npx -y -p github:kyrylosyzonenko/jev-browse jev-browse-mcp"],"sourceUrl":"https://github.com/kyrylosyzonenko/jev-browse"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"otto","name":"otto","maker":"NobleSpartan6","makerUrl":"https://github.com/NobleSpartan6","url":"https://github.com/NobleSpartan6/otto","category":"browser-computer-use","primitives":["score"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.","figures":[],"links":[{"url":"https://github.com/NobleSpartan6/otto","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/NobleSpartan6/otto","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"psearch","name":"psearch","maker":"komikat","makerUrl":"https://github.com/komikat","url":"https://github.com/komikat/psearch","category":"browser-computer-use","primitives":["score"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Parallel web search for terminals and agents, with local Chromium and Jev-guided exploration.","figures":[],"links":[{"url":"https://github.com/komikat/psearch","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/komikat/psearch","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["export JEVON_KEY=\"your-typesafe-api-key\""],"sourceUrl":"https://github.com/komikat/psearch"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"browser-use-olympics","name":"browser-use-olympics","maker":"eriestra","makerUrl":"https://github.com/eriestra","url":"https://github.com/eriestra/browser-use-olympics","category":"browser-computer-use","primitives":["choice"],"platform":"HTML","added":"2026-09-17","created":"2026-09-17","summary":"Browser Use Olympics by Almond: one prompt, five events, one clock. Plus fast loop, a ~200-line browser computer-use agent (Chrome DevTools + TypeSafe Jev).","figures":[],"links":[{"url":"https://github.com/eriestra/browser-use-olympics","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/eriestra/browser-use-olympics","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["open -na \"Google Chrome\" --args --remote-debugging-port=9333 --user-data-dir=/tmp/fastloop-profile --no-first-run","echo 'TYPESAFE_API_KEY=...' > ~/.config/typesafe/env   # chmod 600","node olympics.mjs            # full course; registers as \"Almond-fastloop\"","node almond-fastloop.mjs task_booking.json   # single task"],"sourceUrl":"https://github.com/eriestra/browser-use-olympics"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-browser-kesavanking","name":"jev-browser (KesavanKing)","maker":"KesavanKing","makerUrl":"https://github.com/KesavanKing","url":"https://github.com/KesavanKing/jev-browser","category":"browser-computer-use","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Local browser automation UI that uses TypeSafe Jev to choose bounded page actions and a text model only for field values.","figures":[],"links":[{"url":"https://github.com/KesavanKing/jev-browser","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/KesavanKing/jev-browser","method":"github-api+readme"},"tags":["ai-agents","autonomous-agents","browser-automation","cdp","chromium","jev","local-first","python","typesafe-ai","web-automation"],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-browser-mahmoudadelbghany","name":"jev-browser (MahmoudAdelbghany)","maker":"MahmoudAdelbghany","makerUrl":"https://github.com/MahmoudAdelbghany","url":"https://github.com/MahmoudAdelbghany/jev-browser","category":"browser-computer-use","primitives":["choice","score","noul"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"Jev-powered browser MCP for LLM agents \u2014 ~300ms decisions, no LLM tokens in the loop. 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Claude proves the quote, TypeSafe's Jev scores it, a human decides.","figures":[],"links":[{"url":"https://github.com/MarissaFamularo/citation-verifier","label":"GitHub repository"},{"url":"https://verify.papertrellis.com","label":"Website"},{"url":"https://verify.papertrellis.com","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/MarissaFamularo/citation-verifier","method":"github-api+readme"},"tags":["citation-verification","claude","peer-review","typesafe"],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"dmx-to","name":"dmx.to","maker":"Kitze","makerUrl":"https://x.com/thekitze","url":"https://dmx.to","category":"applications","primitives":[],"platform":"web","added":"2026-09-17","created":null,"summary":"An X client whose timeline is filtered by Jev smart rules: state in, keep-or-hide decisions out.","figures":[],"links":[{"url":"https://dmx.to","label":"Website"},{"url":"https://x.com/thekitze/status/2100570975175877106","label":"Post on X"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://dmx.to","method":"http-get"},"tags":[],"preview":{"kind":"plate"},"detail":"Kitze's alternative X client \u2014 'use X instead of X using you' \u2014 whose timeline is filtered by Jev smart rules. 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Code runs the world.","figures":[],"links":[{"url":"https://github.com/TheGali/terrarium","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/TheGali/terrarium","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-3d-chess","name":"typesafe-3d-chess","maker":"malDuffin","makerUrl":"https://github.com/malDuffin","url":"https://github.com/malDuffin/typesafe-3d-chess","category":"demos-bots","primitives":[],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"3D chess powered by TypeSafe AI (Jev). AI vs AI by default, or play either side. Multiple difficulty levels.","figures":[],"links":[{"url":"https://github.com/malDuffin/typesafe-3d-chess","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/malDuffin/typesafe-3d-chess","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-chess","name":"typesafe-chess","maker":"TholeG","makerUrl":"https://github.com/TholeG","url":"https://github.com/TholeG/typesafe-chess","category":"demos-bots","primitives":["choice","score","noul"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision","figures":[],"links":[{"url":"https://github.com/TholeG/typesafe-chess","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/TholeG/typesafe-chess","method":"github-api+readme"},"tags":["ai","chess","llm","nodejs","system-one","typesafe"],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-minecraft-demo","name":"typesafe-minecraft-demo","maker":"ellistev","makerUrl":"https://github.com/ellistev","url":"https://github.com/ellistev/typesafe-minecraft-demo","category":"demos-bots","primitives":["choice"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-16","summary":"A Minecraft Java player controlled by TypeSafe AI, with live decisions, Canadian flag building, and a side-by-side dashboard.","figures":[],"links":[{"url":"https://github.com/ellistev/typesafe-minecraft-demo","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/ellistev/typesafe-minecraft-demo","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["{","  \"model\": \"jev-latest\",","  \"state\": {","    \"scenario\": \"lumber\",","    \"goal\": \"Find trees, collect 10 new logs, then return to the starting position.\","],"sourceUrl":"https://github.com/ellistev/typesafe-minecraft-demo"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"killmyidea","name":"killmyidea","maker":"monteduro","makerUrl":"https://github.com/monteduro","url":"https://github.com/monteduro/killmyidea","category":"demos-bots","primitives":["score"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"Describe your startup idea. Jev decides: kill it, fix it or ship it.","figures":[],"links":[{"url":"https://github.com/monteduro/killmyidea","label":"GitHub repository"},{"url":"https://killmyidea.stemonte.io","label":"Website"},{"url":"https://killmyidea.stemonte.io","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/monteduro/killmyidea","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["api/evaluate.ts           serverless endpoint (validate \u2192 Jev \u2192 score \u2192 respond)","api/stats.ts              serverless endpoint (ideas submitted + verdict split, 5-min cache)","api/_analytics-db.ts      SQLite archive for evaluation requests and scores","api/_mock.ts              local-only fake answers","src/lib/questions.ts      Jev questions"],"sourceUrl":"https://github.com/monteduro/killmyidea"},"stars":{"value":16,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-me","name":"jev-me","maker":"jon-devlapaz","makerUrl":"https://github.com/jon-devlapaz","url":"https://github.com/jon-devlapaz/jev-me","category":"demos-bots","primitives":["choice"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Grill-me with Jev optional each turn","figures":[],"links":[{"url":"https://github.com/jon-devlapaz/jev-me","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/jon-devlapaz/jev-me","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["git clone https://github.com/jon-devlapaz/jev-me.git ~/.agents/skills/jev-me   # Cursor","git clone https://github.com/jon-devlapaz/jev-me.git ~/.claude/skills/jev-me  # Claude Code"],"sourceUrl":"https://github.com/jon-devlapaz/jev-me"},"stars":{"value":9,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-ai-playground-bunsdev","name":"typesafe-ai-playground (BunsDev)","maker":"BunsDev","makerUrl":"https://github.com/BunsDev","url":"https://github.com/BunsDev/typesafe-ai-playground","category":"demos-bots","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI.","figures":[],"links":[{"url":"https://github.com/BunsDev/typesafe-ai-playground","label":"GitHub repository"},{"url":"https://jev.works","label":"Website"},{"url":"https://jev.works","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/BunsDev/typesafe-ai-playground","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":8,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-autopilot","name":"jev-autopilot","maker":"arielweinberger","makerUrl":"https://github.com/arielweinberger","url":"https://github.com/arielweinberger/jev-autopilot","category":"demos-bots","primitives":["choice"],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-17","summary":"This demo uses Jev from TypeSafe AI to autonomously fly a drone in a random city from point A to point B, avoiding obstacles along the way. 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It answers typed questions with calibrated probabilities, in about 200 ms"],"links":[{"url":"https://github.com/arielweinberger/jev-autopilot","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/arielweinberger/jev-autopilot","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-system-one","name":"jev-system-one","maker":"haseeb-heaven","makerUrl":"https://github.com/haseeb-heaven","url":"https://github.com/haseeb-heaven/jev-system-one","category":"demos-bots","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"A polished OpenAI + TypeSafe Jev terminal interface for answers with transparent decision reports","figures":[],"links":[{"url":"https://github.com/haseeb-heaven/jev-system-one","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/haseeb-heaven/jev-system-one","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["flowchart TD","    U[Human asks a question once] --> J1[TypeSafe Jev: routing decision]","    J1 --> D1[Choice: response mode]","    J1 --> D2[Noul: clarification required]","    J1 --> D3[Noul: uncertainty notice required]"],"sourceUrl":"https://github.com/haseeb-heaven/jev-system-one"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"should-ai-kill-us-all","name":"Should AI Kill Us All?","maker":"hellogumbo","makerUrl":"https://github.com/hellogumbo","url":"https://github.com/hellogumbo/should-ai-kill-us-all","category":"demos-bots","primitives":["choice","score","noul"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"A live verdict page that asks Jev every ten minutes whether AI should kill us all, fed by the day's odd news.","figures":[],"links":[{"url":"https://github.com/hellogumbo/should-ai-kill-us-all","label":"GitHub repository"},{"url":"https://shouldaikillusall.com","label":"Website"},{"url":"https://shouldaikillusall.com","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/hellogumbo/should-ai-kill-us-all","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["wrangler pages secret put TYPESAFE_API_KEY","npm run deploy"],"sourceUrl":"https://github.com/hellogumbo/should-ai-kill-us-all"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-ai-playground","name":"typesafe-ai-playground","maker":"nickthompson480","makerUrl":"https://github.com/nickthompson480","url":"https://github.com/nickthompson480/typesafe-ai-playground","category":"demos-bots","primitives":["choice","score","noul"],"platform":"JavaScript","added":"2026-09-18","created":"2026-09-16","summary":"Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI.","figures":[],"links":[{"url":"https://github.com/nickthompson480/typesafe-ai-playground","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/nickthompson480/typesafe-ai-playground","method":"github-api+readme"},"tags":[],"preview":{"kind":"shape","primitive":"noul","text":"Does the message ask for an unresolved action?","sourceUrl":"https://github.com/nickthompson480/typesafe-ai-playground"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"clarity-judge","name":"clarity-judge","maker":"BunsDev","makerUrl":"https://github.com/BunsDev","url":"https://github.com/BunsDev/clarity-judge","category":"demos-bots","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"Multi-axis writing quality checker powered by TypeSafe AI's Jev model. 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Verdict computed in code via policy thresholds.","figures":[],"links":[{"url":"https://github.com/NorbertBodziony/guard-jev","label":"GitHub repository"},{"url":"https://guard-jev.vercel.app","label":"Website"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/NorbertBodziony/guard-jev","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"harden-jev-decides","name":"harden-jev-decides","maker":"tylerjharden","makerUrl":"https://github.com/tylerjharden","url":"https://github.com/tylerjharden/harden-jev-decides","category":"demos-bots","primitives":["choice"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"JEV picks which stream idea becomes the live MVP. 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Only one difference in the whole table clears zero: Luna scores 8 points higher on the Korean medical exam"],"links":[{"url":"https://github.com/mahlernim/jev-korean-benchmark","label":"GitHub repository"},{"url":"https://ahn-lab.org/jev-korean-benchmark/","label":"Website"},{"url":"https://ahn-lab.org/jev-korean-benchmark/","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/mahlernim/jev-korean-benchmark","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":[".venv/Scripts/python.exe -X utf8 -m jevbench.overview_figure"],"sourceUrl":"https://github.com/mahlernim/jev-korean-benchmark"},"stars":{"value":4,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-lm","name":"jev-lm","maker":"y0usaf","makerUrl":"https://github.com/y0usaf","url":"https://github.com/y0usaf/jev-lm","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval","figures":[],"links":[{"url":"https://github.com/y0usaf/jev-lm","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/y0usaf/jev-lm","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["jev-lm probe \"the little dog was\" --top 5","jev-lm verify \"the capital of france is\" \"paris\" \"london\"","jev-lm gen \"the little dog\" --words 18 --trace","jev-lm gen \"she went to the door\" --draft --trace","jev-lm eval --file data/heldout_en.txt --positions 60"],"sourceUrl":"https://github.com/y0usaf/jev-lm"},"stars":{"value":5,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"system-one-open","name":"system-one-open","maker":"mithalouni","makerUrl":"https://github.com/mithalouni","url":"https://github.com/mithalouni/system-one-open","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal)","figures":[],"links":[{"url":"https://github.com/mithalouni/system-one-open","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/mithalouni/system-one-open","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["modal run build_data.py                                   # ~5 min, CPU only","modal run typesafe_eval.py                                # seconds","S1_GPU=H100 modal run train.py --name lite-270m --model unsloth/gemma-3-270m-it --tier lite","S1_GPU=H100 modal run evaluate.py --run lite-270m","S1_GPU=H100 modal run train.py --name e2b-full --model google/gemma-4-E2B-it --tier full --lora 1"],"sourceUrl":"https://github.com/mithalouni/system-one-open"},"stars":{"value":4,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-local","name":"typesafe-local","maker":"aabolfazl","makerUrl":"https://github.com/aabolfazl","url":"https://github.com/aabolfazl/typesafe-local","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-18","created":"2026-09-18","summary":"Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.","figures":["Four questions over one document: ~200 ms on an M4 Pro","Qwen3-1.7B, full validation split, bootstrap 95% intervals:"],"links":[{"url":"https://github.com/aabolfazl/typesafe-local","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/aabolfazl/typesafe-local","method":"github-api+readme"},"tags":["typesafe"],"preview":{"kind":"snippet","lines":["{","  \"model\": \"mlx-community/Qwen3-1.7B-bf16\",","  \"answers\": {","    \"refund_requested\": {\"type\": \"noul\", \"noul\": 1.0, \"raw_mass\": 1.0},","    \"department\": {\"type\": \"choice\", \"choice\": \"billing\","],"sourceUrl":"https://github.com/aabolfazl/typesafe-local"},"stars":{"value":5,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"daf-jev","name":"daf-jev","maker":"docxology","makerUrl":"https://github.com/docxology","url":"https://github.com/docxology/daf-jev","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-18","created":"2026-09-17","summary":"daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API \u2014 question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill","figures":["3.5x\u201320.5x faster (N=5\u219220) and 2.8x\u20134.2x cheaper in tokens; decision-pattern"],"links":[{"url":"https://github.com/docxology/daf-jev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/docxology/daf-jev","method":"github-api+readme"},"tags":[],"preview":{"kind":"shape","primitive":"choice","text":"What is the tone? \u00b7 calm / frustrated","sourceUrl":"https://github.com/docxology/daf-jev"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-behavior-study","name":"jev-behavior-study","maker":"RINNECODER","makerUrl":"https://github.com/RINNECODER","url":"https://github.com/RINNECODER/jev-behavior-study","category":"benchmarks-research","primitives":["choice","score"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.","figures":[],"links":[{"url":"https://github.com/RINNECODER/jev-behavior-study","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/RINNECODER/jev-behavior-study","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-chat","name":"jev-chat","maker":"adhyaay-karnwal","makerUrl":"https://github.com/adhyaay-karnwal","url":"https://github.com/adhyaay-karnwal/jev-chat","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.","figures":[],"links":[{"url":"https://github.com/adhyaay-karnwal/jev-chat","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/adhyaay-karnwal/jev-chat","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["git clone https://github.com/adhyaay-karnwal/jev-chat","cd jev-chat","uv sync --extra dev","cp .env.example .env   # set TYPESAFE_API_KEY"],"sourceUrl":"https://github.com/adhyaay-karnwal/jev-chat"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-search-rerank-eval","name":"jev-search-rerank-eval","maker":"zhuyansen","makerUrl":"https://github.com/zhuyansen","url":"https://github.com/zhuyansen/jev-search-rerank-eval","category":"benchmarks-research","primitives":["choice","score"],"platform":"Python","added":"2026-09-18","created":"2026-09-18","summary":"Does a TypeSafe Jev rerank beat embedding search? 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Random baseline is 3%, so it's not nothing, but it cannot calculate"],"links":[{"url":"https://github.com/wondertwins/jev-benchmark","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/wondertwins/jev-benchmark","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["jevcommon/client.py      rate-limited async TypeSafe client; persists every raw request/response","jevchess/                chess benchmark","  state.py               board \u2192 state at three levels (fen / ascii / rich); move descriptions","  experiments.py         A\u2013G: Choice, Score fan-out, hierarchical, perception, mate-in-1, eval, full games","  engine.py positions.py Stockfish ground truth; position generation"],"sourceUrl":"https://github.com/wondertwins/jev-benchmark"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-for-engineers","name":"jev-for-engineers","maker":"Foadsf","makerUrl":"https://github.com/Foadsf","url":"https://github.com/Foadsf/jev-for-engineers","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction","figures":[],"links":[{"url":"https://github.com/Foadsf/jev-for-engineers","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Foadsf/jev-for-engineers","method":"github-api+readme"},"tags":["cad","cae","calibrated-confidence","classification","jev","llm","mechanical-engineering","typesafe"],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-gate","name":"jev-gate","maker":"MongLong0214","makerUrl":"https://github.com/MongLong0214","url":"https://github.com/MongLong0214/jev-gate","category":"benchmarks-research","primitives":["choice","score"],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-17","summary":"Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code \u2014 V3 prototype runs today, V4 routes at the task boundary.","figures":[],"links":[{"url":"https://github.com/MongLong0214/jev-gate","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/MongLong0214/jev-gate","method":"github-api+readme"},"tags":["agentic-ai","ai-agents","ai-coding-assistant","ai-engineering","anthropic","claude","claude-code","claude-code-plugin","coding-agent","cost-optimization","developer-tools","jev","llm","llm-routing","llmops","model-routing","nodejs","token-optimization","typesafe","typescript"],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-harness","name":"jev-harness","maker":"AntonioCoppe","makerUrl":"https://github.com/AntonioCoppe","url":"https://github.com/AntonioCoppe/jev-harness","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-18","created":"2026-09-18","summary":"Decision harness for TypeSafe Jev \u2014 confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s \u2192 Jev 1.3s on the same row-filter job.","figures":[],"links":[{"url":"https://github.com/AntonioCoppe/jev-harness","label":"GitHub repository"},{"url":"https://github.com/AntonioCoppe/jev-harness","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/AntonioCoppe/jev-harness","method":"github-api+readme"},"tags":["agents","confidence","decision","evals","harness","jev","llm","system-one","typesafe","typescript"],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jevcal","name":"jevcal","maker":"abhixhek","makerUrl":"https://github.com/abhixhek","url":"https://github.com/abhixhek/jevcal","category":"benchmarks-research","primitives":["choice","noul"],"platform":"Python","added":"2026-09-18","created":"2026-09-18","summary":"Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.","figures":[],"links":[{"url":"https://github.com/abhixhek/jevcal","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/abhixhek/jevcal","method":"github-api+readme"},"tags":["calibration","confidence-thresholds","jev","llm-evals","system-one","typesafe"],"preview":{"kind":"snippet","lines":["pip install \"git+https://github.com/abhixhek/jevcal\"                        # core","pip install \"jevcal[anthropic] @ git+https://github.com/abhixhek/jevcal\"    # + Claude as teacher / fallback"],"sourceUrl":"https://github.com/abhixhek/jevcal"},"stars":{"value":4,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jevgpt","name":"jevgpt","maker":"Bewinxed","makerUrl":"https://github.com/Bewinxed","url":"https://github.com/Bewinxed/jevgpt","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively)","figures":[],"links":[{"url":"https://github.com/Bewinxed/jevgpt","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Bewinxed/jevgpt","method":"github-api+readme"},"tags":["autoregressive","joke","llm","remotion","typesafe"],"preview":{"kind":"plate"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"open-alternative-jev","name":"open-alternative-jev","maker":"ikermoel","makerUrl":"https://github.com/ikermoel","url":"https://github.com/ikermoel/open-alternative-jev","category":"benchmarks-research","primitives":["choice"],"platform":"Python","added":"2026-09-18","created":"2026-09-18","summary":"Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks","figures":["RACE-H, 250 passages x 4 questions (n = 1000). One passage, four multiple-choice questions","Packing writes the passage once instead of four times: 2.5x fewer tokens, 2.3x the throughput of batching,"],"links":[{"url":"https://github.com/ikermoel/open-alternative-jev","label":"GitHub repository"},{"url":"https://huggingface.co/spaces/IkerMoel/open-alternative-jev","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/ikermoel/open-alternative-jev","method":"github-api+readme"},"tags":["calibration","classification","jev","jev-alternative","llm","logprobs","open-jev","open-source-jev","open-weights","qwen","structured-decisions","structured-output","system-one","system-one-model","transformers","typed-decisions","typesafe","typesafe-jev","vllm"],"preview":{"kind":"snippet","lines":["pip install open-alternative-jev            # Hugging Face backend","pip install \"open-alternative-jev[vllm]\"    # + vLLM backend","pip install \"open-alternative-jev[quant]\"   # + bitsandbytes 8-bit / 4-bit loading"],"sourceUrl":"https://github.com/ikermoel/open-alternative-jev"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"trade-jev","name":"trade-jev","maker":"justinhe16","makerUrl":"https://github.com/justinhe16","url":"https://github.com/justinhe16/trade-jev","category":"benchmarks-research","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data","figures":[],"links":[{"url":"https://github.com/justinhe16/trade-jev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/justinhe16/trade-jev","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["uv run python -m trade_jev.run --days 2026-06-23                                   # one day","uv run python -m trade_jev.run --days 2026-06-08,2026-06-09,2026-06-10             # several days","uv run python -m trade_jev.run --all                                               # all 15 days","uv run python -m trade_jev.run --days 2026-06-23 --policies hold,random,imbalance  # baselines only, no API"],"sourceUrl":"https://github.com/justinhe16/trade-jev"},"stars":{"value":2,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"decisionbridge","name":"decisionbridge","maker":"grishahq","makerUrl":"https://github.com/grishahq","url":"https://github.com/grishahq/decisionbridge","category":"benchmarks-research","primitives":["choice","score"],"platform":"HTML","added":"2026-09-17","created":"2026-09-17","summary":"A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.","figures":[],"links":[{"url":"https://github.com/grishahq/decisionbridge","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/grishahq/decisionbridge","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["import os","from decisionbridge import Choice","from decisionbridge.backends.api import APIDecisionModel","model = APIDecisionModel(\"openai\", os.environ[\"OPENAI_MODEL\"], mode=\"json\")","choice = Choice(\"What is the main intent?\", {"],"sourceUrl":"https://github.com/grishahq/decisionbridge"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-agent-failure-benchmark","name":"jev-agent-failure-benchmark","maker":"TokenTrim","makerUrl":"https://github.com/TokenTrim","url":"https://github.com/TokenTrim/jev-agent-failure-benchmark","category":"benchmarks-research","primitives":["choice"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Benchmarking Jev (Typesafe.ai) against a strong LLM on the Who&When Pro agent-failure-attribution benchmark (text subset).","figures":[],"links":[{"url":"https://github.com/TokenTrim/jev-agent-failure-benchmark","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/TokenTrim/jev-agent-failure-benchmark","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-curate","name":"jev-curate","maker":"AkashPriyadarshii","makerUrl":"https://github.com/AkashPriyadarshii","url":"https://github.com/AkashPriyadarshii/jev-curate","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Rust","added":"2026-09-18","created":"2026-09-18","summary":"High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, ","figures":[],"links":[{"url":"https://github.com/AkashPriyadarshii/jev-curate","label":"GitHub repository"},{"url":"https://crates.io/crates/jev-curate","label":"Website"},{"url":"https://crates.io/crates/jev-curate","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/AkashPriyadarshii/jev-curate","method":"github-api+readme"},"tags":["arrow","cli","data-cleaning","data-engineering","dataset-curation","eval-harness","fine-tuning","jev","jsonl","llm","parquet","polars","pretraining","pyo3","reasoning-models","rust","synthetic-data","system-one","type-safe-ai","typesafe-ai"],"preview":{"kind":"plate"},"stars":{"value":3,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-exploration","name":"jev-exploration","maker":"SamuelSacco","makerUrl":"https://github.com/SamuelSacco","url":"https://github.com/SamuelSacco/jev-exploration","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code","figures":[],"links":[{"url":"https://github.com/SamuelSacco/jev-exploration","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/SamuelSacco/jev-exploration","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-freeform","name":"jev-freeform","maker":"kesku","makerUrl":"https://github.com/kesku","url":"https://github.com/kesku/jev-freeform","category":"benchmarks-research","primitives":["choice"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-16","summary":"An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice","figures":[],"links":[{"url":"https://github.com/kesku/jev-freeform","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/kesku/jev-freeform","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["git clone https://github.com/kesku/jev-freeform.git","cd jev-freeform","npm install","export TYPESAFE_API_KEY=\"your-key\"","npm start"],"sourceUrl":"https://github.com/kesku/jev-freeform"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-little-airways","name":"jev-little-airways","maker":"lbotinelly","makerUrl":"https://github.com/lbotinelly","url":"https://github.com/lbotinelly/jev-little-airways","category":"benchmarks-research","primitives":[],"platform":"HTML","added":"2026-09-17","created":"2026-09-17","summary":"A show-and-tell capability study for Jev, TypeSafe's System One decision model.","figures":[],"links":[{"url":"https://github.com/lbotinelly/jev-little-airways","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/lbotinelly/jev-little-airways","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["demo/         the runnable demo (three.js WebGPU via CDN, zero build step)","research/     the Jev capability dossier (live-captured API behavior, pricing, patterns)","resources/    dream-loop artifacts (target, prompts, rounds) and screenshots","originals/    the Astra single-file build (fully offline) and the GLM round-3 build"],"sourceUrl":"https://github.com/lbotinelly/jev-little-airways"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-rerank-bench","name":"jev-rerank-bench","maker":"anessbelbati","makerUrl":"https://github.com/anessbelbati","url":"https://github.com/anessbelbati/jev-rerank-bench","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Can a decision model beat dedicated rerankers? TypeSafe Jev vs Cohere Rerank 4 vs ZeroEntropy zerank-2 vs a chat-model baseline: 14 datasets, every raw API response, bootstrap ranges on every gap.","figures":[],"links":[{"url":"https://github.com/anessbelbati/jev-rerank-bench","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/anessbelbati/jev-rerank-bench","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["uv sync","cp .env.example .env            # JEV_API_KEY, OPENROUTER_API_KEY, ZEROENTROPY_API_KEY","uv run candidates/build.py      # downloads the datasets, builds BM25 top-30 and the \"absent\" twins","uv run candidates/build_nevir.py","uv run run.py --model jev-score-batch --dataset all --workers 16"],"sourceUrl":"https://github.com/anessbelbati/jev-rerank-bench"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-research-eval","name":"jev-research-eval","maker":"jgridifier","makerUrl":"https://github.com/jgridifier","url":"https://github.com/jgridifier/jev-research-eval","category":"benchmarks-research","primitives":[],"platform":"HTML","added":"2026-09-17","created":"2026-09-17","summary":"Reproducible Jev Ultrafast research-browser eval harness + field note (QC\u2019d cases, suite runner, report generator). Not investment advice.","figures":[],"links":[{"url":"https://github.com/jgridifier/jev-research-eval","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/jgridifier/jev-research-eval","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["export JEV_ULTRAFAST_ROOT=/path/to/jev-ultrafast","python scripts/run_suite.py \\","  --jev-root \"$JEV_ULTRAFAST_ROOT\" \\","  --cases cases/research_browser_v1.yaml \\","  --out results/latest"],"sourceUrl":"https://github.com/jgridifier/jev-research-eval"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-sec-bench","name":"jev-sec-bench","maker":"Gaurav-Gosain","makerUrl":"https://github.com/Gaurav-Gosain","url":"https://github.com/Gaurav-Gosain/jev-sec-bench","category":"benchmarks-research","primitives":["score"],"platform":"Go","added":"2026-09-17","created":"2026-09-16","summary":"Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go","figures":[],"links":[{"url":"https://github.com/Gaurav-Gosain/jev-sec-bench","label":"GitHub repository"},{"url":"https://x.com/_GauravGosain/status/2100111398277959715","label":"Post on X"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Gaurav-Gosain/jev-sec-bench","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-synergy-screening","name":"jev-synergy-screening","maker":"PistachioAIHQ","makerUrl":"https://github.com/PistachioAIHQ","url":"https://github.com/PistachioAIHQ/jev-synergy-screening","category":"benchmarks-research","primitives":["choice","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Jev (TypeSafe System One) \u00d7 ASReview SYNERGY abstract screening demo \u2014 Choice/Noul vs gold labels","figures":[],"links":[{"url":"https://github.com/PistachioAIHQ/jev-synergy-screening","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/PistachioAIHQ/jev-synergy-screening","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jevify","name":"jevify","maker":"altryne","makerUrl":"https://github.com/altryne","url":"https://github.com/altryne/jevify","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-18","created":"2026-09-17","summary":"An agent skill to discover TypeSafe Jev opportunities, design typed questions, and learn from recent community experiments.","figures":[],"links":[{"url":"https://github.com/altryne/jevify","label":"GitHub 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dashboard)","figures":[],"links":[{"url":"https://github.com/shibadogcap/kyotsu-ai-bench","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/shibadogcap/kyotsu-ai-bench","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"mcts-agent","name":"mcts-agent","maker":"lhemerly","makerUrl":"https://github.com/lhemerly","url":"https://github.com/lhemerly/mcts-agent","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Discriminative Monte Carlo Tree Search using TypeSafe Jev System One Primitives and Gemini","figures":[],"links":[{"url":"https://github.com/lhemerly/mcts-agent","label":"GitHub 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per decision (route_document / code_transaction /"],"links":[{"url":"https://github.com/zsavage8/padflow-jev-evals","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/zsavage8/padflow-jev-evals","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"qwen-rlcd","name":"qwen-rlcd","maker":"shamazharikh","makerUrl":"https://github.com/shamazharikh","url":"https://github.com/shamazharikh/qwen-rlcd","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B","figures":[],"links":[{"url":"https://github.com/shamazharikh/qwen-rlcd","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/shamazharikh/qwen-rlcd","method":"github-api+readme"},"tags":[],"preview":{"kind":"shape","primitive":"choice","text":"Which team should handle this?","sourceUrl":"https://github.com/shamazharikh/qwen-rlcd"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"risc-jev","name":"RISC-jeV","maker":"i2cjak","makerUrl":"https://github.com/i2cjak","url":"https://github.com/i2cjak/RISC-jeV","category":"benchmarks-research","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Jev wired up as a RISC-V CPU \u2014 an extreme experiment in how far state-in/decision-out can go.","figures":[],"links":[{"url":"https://github.com/i2cjak/RISC-jeV","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/i2cjak/RISC-jeV","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"financialpredictionjev","name":"FinancialPredictionJev","maker":"thodoh1","makerUrl":"https://github.com/thodoh1","url":"https://github.com/thodoh1/FinancialPredictionJev","category":"benchmarks-research","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Using Jev to test how well it predicts financial markets(just like most llms as of september 2026, it doesnt do that good)","figures":[],"links":[{"url":"https://github.com/thodoh1/FinancialPredictionJev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/thodoh1/FinancialPredictionJev","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-alpha-bench","name":"jev-alpha-bench","maker":"Gaurav-Gosain","makerUrl":"https://github.com/Gaurav-Gosain","url":"https://github.com/Gaurav-Gosain/jev-alpha-bench","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Go","added":"2026-09-17","created":"2026-09-16","summary":"Does Jev predict stock returns from news? It reads the news well; there is no tradeable alpha. Three arms separate reading from recall.","figures":[],"links":[{"url":"https://github.com/Gaurav-Gosain/jev-alpha-bench","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Gaurav-Gosain/jev-alpha-bench","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-anotacao-sentencas","name":"jev-anotacao-sentencas","maker":"lab-dados","makerUrl":"https://github.com/lab-dados","url":"https://github.com/lab-dados/jev-anotacao-sentencas","category":"benchmarks-research","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anota\u00e7\u00e3o estruturada de senten\u00e7as do TJSP: qualidade, tempo e custo","figures":[],"links":[{"url":"https://github.com/lab-dados/jev-anotacao-sentencas","label":"GitHub repository"},{"url":"https://lab-dados.github.io/jev-anotacao-sentencas/","label":"Website"},{"url":"https://lab-dados.github.io/jev-anotacao-sentencas/","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/lab-dados/jev-anotacao-sentencas","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["uv sync","uv run python scripts/01_coletar.py","uv run python scripts/02_anotar.py jev-latest jev-preview gemini-3.8-flash gpt-5.6-luna \\","    ref-gpt-5.6-sol ref-gemini-3.1-pro","uv run python scripts/03_referencia.py      # lista diverg\u00eancias e auditoria"],"sourceUrl":"https://github.com/lab-dados/jev-anotacao-sentencas"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-as-a-judge","name":"jev-as-a-judge","maker":"danielgshea","makerUrl":"https://github.com/danielgshea","url":"https://github.com/danielgshea/jev-as-a-judge","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Using Jev as an evaluator.","figures":[],"links":[{"url":"https://github.com/danielgshea/jev-as-a-judge","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/danielgshea/jev-as-a-judge","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-deferred-crispification","name":"jev-deferred-crispification","maker":"dnakhoa","makerUrl":"https://github.com/dnakhoa","url":"https://github.com/dnakhoa/jev-deferred-crispification","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"TeX","added":"2026-09-17","created":"2026-09-16","summary":"Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1).","figures":[],"links":[{"url":"https://github.com/dnakhoa/jev-deferred-crispification","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/dnakhoa/jev-deferred-crispification","method":"github-api+readme"},"tags":["calibration","fuzzy-logic","hidden-markov-model","jev","position-paper","rlcd","system-one","typesafe-ai"],"preview":{"kind":"snippet","lines":["git clone https://github.com/dnakhoa/jev-deferred-crispification","cd jev-deferred-crispification","python3 experiments/run_all.py          # E1\u2013E5 + lemma checks, CPU, ~2 min"],"sourceUrl":"https://github.com/dnakhoa/jev-deferred-crispification"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-finance-benchmark","name":"jev-finance-benchmark","maker":"hifizz","makerUrl":"https://github.com/hifizz","url":"https://github.com/hifizz/jev-finance-benchmark","category":"benchmarks-research","primitives":[],"platform":null,"added":"2026-09-17","created":"2026-09-17","summary":"typesafe.ai model jev finance benchmark","figures":[],"links":[{"url":"https://github.com/hifizz/jev-finance-benchmark","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/hifizz/jev-finance-benchmark","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-headline-bench","name":"jev-headline-bench","maker":"Gaurav-Gosain","makerUrl":"https://github.com/Gaurav-Gosain","url":"https://github.com/Gaurav-Gosain/jev-headline-bench","category":"benchmarks-research","primitives":["score"],"platform":"Go","added":"2026-09-17","created":"2026-09-16","summary":"Can Jev pick the winner of a real headline A/B test? 64.5% across 10,984 Upworthy randomized experiments, 74.7% when the difference was decisive.","figures":[],"links":[{"url":"https://github.com/Gaurav-Gosain/jev-headline-bench","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Gaurav-Gosain/jev-headline-bench","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-jp-address","name":"jev-jp-address","maker":"smasato","makerUrl":"https://github.com/smasato","url":"https://github.com/smasato/jev-jp-address","category":"benchmarks-research","primitives":["choice"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"Jev (TypeSafe) \u6027\u80fd\u8a55\u4fa1\u30d7\u30ed\u30b8\u30a7\u30af\u30c8 \u2014 \u65e5\u672c\u90f5\u4fbf KEN_ALL \u3092\u30de\u30b9\u30bf\u306b\u3001AI SDK \u7d4c\u7531\u306e Jev \u304c\u4f4f\u6240\u306e\u3042\u3044\u307e\u3044\u4e00\u81f4\u306b\u3069\u3053\u307e\u3067\u4f7f\u3048\u308b\u304b\u3092\u691c\u8a3c","figures":[],"links":[{"url":"https://github.com/smasato/jev-jp-address","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/smasato/jev-jp-address","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["npm install","scripts/download-data.sh          # data/utf_ken_all.csv, data/jigyosyo_utf8.csv \u3092\u53d6\u5f97 (curl/unzip/iconv)","export TYPESAFE_AI_API_KEY=...    # Jev \u3092\u4f7f\u3046\u5834\u5408\u306e\u307f","npm run build                     # dist/cli.js"],"sourceUrl":"https://github.com/smasato/jev-jp-address"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-lab","name":"jev-lab","maker":"Menny1337","makerUrl":"https://github.com/Menny1337","url":"https://github.com/Menny1337/jev-lab","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-16","summary":"TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model","figures":[],"links":[{"url":"https://github.com/Menny1337/jev-lab","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/Menny1337/jev-lab","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-phishing-bench","name":"jev-phishing-bench","maker":"anisselbd","makerUrl":"https://github.com/anisselbd","url":"https://github.com/anisselbd/jev-phishing-bench","category":"benchmarks-research","primitives":["choice","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-16","summary":"Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.","figures":["gives 89.5% accuracy with no fitting, and a cross-validated logistic regression on the five signals reaches 95.1%,","link, plus an eTLD+1 comparison between sender and link. The list rule alone: 91.6% accuracy,"],"links":[{"url":"https://github.com/anisselbd/jev-phishing-bench","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/anisselbd/jev-phishing-bench","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["cp .env.example .env            # then fill in the keys (baseline used: claude-haiku-4-5, Anthropic Messages API)","uv run prepare_data.py          # download + checksum + data/emails.jsonl","uv run net_floor.py             # network round-trip floor to each API host","uv run run_jev.py --limit 10    # smoke test, prints raw answers","uv run run_jev.py               # pass 1, all 2 000 emails"],"sourceUrl":"https://github.com/anisselbd/jev-phishing-bench"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-pick-and-place-study","name":"jev-pick-and-place-study","maker":"tryaksh","makerUrl":"https://github.com/tryaksh","url":"https://github.com/tryaksh/jev-pick-and-place-study","category":"benchmarks-research","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.","figures":[],"links":[{"url":"https://github.com/tryaksh/jev-pick-and-place-study","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/tryaksh/jev-pick-and-place-study","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":[".venv\\Scripts\\python.exe -m zipfile -e results\\evaluation_traces.zip outputs\\comparison",".venv\\Scripts\\python.exe demo.py render outputs\\comparison\\eval_jev_ordinary_1001.jsonl"],"sourceUrl":"https://github.com/tryaksh/jev-pick-and-place-study"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-playground-hegargarcia","name":"jev-playground (hegargarcia)","maker":"hegargarcia","makerUrl":"https://github.com/hegargarcia","url":"https://github.com/hegargarcia/jev-playground","category":"benchmarks-research","primitives":["choice","score"],"platform":"TypeScript","added":"2026-09-17","created":"2026-09-17","summary":"A playground for benchmarking TypeSafe AI\u2019s Jev against other evaluation models in games with explicit states, legal actions, and measurable outcomes.","figures":[],"links":[{"url":"https://github.com/hegargarcia/jev-playground","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/hegargarcia/jev-playground","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["flowchart LR","  state[Current state] --> actions[Legal actions]","  actions --> model[Model evaluation]","  model --> choice[Validated choice]","  choice --> next[Next state]"],"sourceUrl":"https://github.com/hegargarcia/jev-playground"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-report","name":"jev-report","maker":"HackSing","makerUrl":"https://github.com/HackSing","url":"https://github.com/HackSing/jev-report","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"\u53d1\u660e RLHF \u7684\u4eba\uff0c\u8fd9\u6b21\u505a\u4e86\u4e2a\u4e0d\u4f1a\u8bf4\u8bdd\u7684\u6a21\u578b\uff1aJev \u72ec\u7acb\u7814\u7a76\u62a5\u544a\u300252 \u9875 PDF + 50 \u6761\u4e2d\u6587\u5b9e\u6d4b\u590d\u73b0\u5305 + 143 \u6761\u53ef\u56de\u6eaf\u6570\u636e\u8868","figures":[],"links":[{"url":"https://github.com/HackSing/jev-report","label":"GitHub repository"},{"url":"https://github.com/HackSing/jev-report","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/HackSing/jev-report","method":"github-api+readme"},"tags":["ai-research","chinese","jev","llm-evaluation","typesafe"],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-routing-experiment","name":"jev-routing-experiment","maker":"TokenTrim","makerUrl":"https://github.com/TokenTrim","url":"https://github.com/TokenTrim/jev-routing-experiment","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena","figures":[],"links":[{"url":"https://github.com/TokenTrim/jev-routing-experiment","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/TokenTrim/jev-routing-experiment","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-secret-detection","name":"jev-secret-detection","maker":"teyhouse","makerUrl":"https://github.com/teyhouse","url":"https://github.com/teyhouse/jev-secret-detection","category":"benchmarks-research","primitives":["score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets","figures":["The API runs in AWS us-west-2, so the network sets the floor on the round trip. From a machine with a 185 ms TCP","round trip to it, a warm request takes about 290 ms at p50, and a request on a new connection takes about 1.2 s"],"links":[{"url":"https://github.com/teyhouse/jev-secret-detection","label":"GitHub repository"},{"url":"https://x.com/Teyhouse/status/2100555273718907064","label":"Post on X"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/teyhouse/jev-secret-detection","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["echo \"TYPESAFE_API_KEY=...\" > .env","uv run python main.py"],"sourceUrl":"https://github.com/teyhouse/jev-secret-detection"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-shadcn-lint-eval","name":"jev-shadcn-lint-eval","maker":"blas0","makerUrl":"https://github.com/blas0","url":"https://github.com/blas0/jev-shadcn-lint-eval","category":"benchmarks-research","primitives":["score"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"A small second eval for shadcn-ui/lint that uses TypeSafe's Jev to judge the linter's own output.","figures":["weaker on clean code and flagged 16 of 52 clean cases. Overall it answered 82%","The run made 246 requests with no errors and used 249,384 input tokens (Jev"],"links":[{"url":"https://github.com/blas0/jev-shadcn-lint-eval","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/blas0/jev-shadcn-lint-eval","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["node extract-design-system.mjs --repo <lint checkout>   # only when the lint repo changes","export TYPESAFE_API_KEY=...                             # never commit it","node run-rule-cases.mjs rule-cases.jsonl --repo <lint checkout> [--limit n]"],"sourceUrl":"https://github.com/blas0/jev-shadcn-lint-eval"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-spam-eval","name":"jev-spam-eval","maker":"bitnovus","makerUrl":"https://github.com/bitnovus","url":"https://github.com/bitnovus/jev-spam-eval","category":"benchmarks-research","primitives":["choice","noul"],"platform":"Jupyter Notebook","added":"2026-09-17","created":"2026-09-17","summary":"Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines","figures":[],"links":[{"url":"https://github.com/bitnovus/jev-spam-eval","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/bitnovus/jev-spam-eval","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["# New output directory: a three-message smoke test, then the full comparison.","JEV_CONTEXT_OUTPUT_DIR=experiments/jev-context/rerun \\","  uv run python experiments/jev-context/evaluate.py --limit 3","JEV_CONTEXT_OUTPUT_DIR=experiments/jev-context/rerun \\","  uv run python experiments/jev-context/evaluate.py"],"sourceUrl":"https://github.com/bitnovus/jev-spam-eval"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"jev-trace-classifier","name":"jev-trace-classifier","maker":"sypherin","makerUrl":"https://github.com/sypherin","url":"https://github.com/sypherin/jev-trace-classifier","category":"benchmarks-research","primitives":["score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Application of TypeSafe Jev (noul judgment primitive) on the collusion.wiki corpus: agent vs human page authorship, head-to-head vs local Qwen3.8-Flash-Next","figures":[],"links":[{"url":"https://github.com/sypherin/jev-trace-classifier","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/sypherin/jev-trace-classifier","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["ground_truth.py    # the per-page agent/human label join (the only \"ground truth\" logic)","baseline_regex.py  # content-only floor: regex tells -> shows text alone is blind","jev_client.py      # minimal TypeSafe Jev client (noul primitive, plain HTTP)","qwen_client.py     # local Qwen3.8-Flash-Next client (OpenAI-compatible)","compare.py         # the head-to-head harness + metrics table + JSONL dump"],"sourceUrl":"https://github.com/sypherin/jev-trace-classifier"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"misereru-slide-jev","name":"misereru-slide-jev","maker":"myokoym","makerUrl":"https://github.com/myokoym","url":"https://github.com/myokoym/misereru-slide-jev","category":"benchmarks-research","primitives":[],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-17","summary":"TypeSafe AI \u306e Jev / System One Models \u3092\u7d99\u7d9a\u7684\u306b\u8abf\u67fb\u3057\u3001Markdown\u30b9\u30e9\u30a4\u30c9\u3068\u3057\u3066\u6574\u7406\u3059\u308brepository\u3067\u3059\u3002","figures":[],"links":[{"url":"https://github.com/myokoym/misereru-slide-jev","label":"GitHub repository"},{"url":"https://myokoym.github.io/misereru-slide-jev/","label":"Website"},{"url":"https://myokoym.github.io/misereru-slide-jev/","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/myokoym/misereru-slide-jev","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"openjev-experiments","name":"openjev-experiments","maker":"zefir1990","makerUrl":"https://github.com/zefir1990","url":"https://github.com/zefir1990/openjev-experiments","category":"benchmarks-research","primitives":["choice"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Openjev experiments","figures":[],"links":[{"url":"https://github.com/zefir1990/openjev-experiments","label":"GitHub repository"},{"url":"https://demensdeum.com","label":"Website"},{"url":"https://demensdeum.com","label":"Homepage"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/zefir1990/openjev-experiments","method":"github-api+readme"},"tags":["jev","openjev"],"preview":{"kind":"snippet","lines":["from classify import ClassifierFactory, OpenJevSettings, TextPair","classifier = ClassifierFactory.create(OpenJevSettings())","predictions = classifier.classify([","    TextPair(\"A man is playing a guitar.\", \"Someone is making music.\"),","    TextPair(\"A man is playing a guitar.\", \"A man is sleeping.\"),"],"sourceUrl":"https://github.com/zefir1990/openjev-experiments"},"stars":{"value":1,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"parallel-constrained-decoding-qwen2-5-1b-rlcd","name":"Parallel Constrained Decoding (Qwen2.5-1B-RLCD)","maker":"drinkmoonshine","makerUrl":"https://huggingface.co/drinkmoonshine","url":"https://huggingface.co/spaces/drinkmoonshine/parallel-constrained-decoding","category":"benchmarks-research","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Enter a text document and a JSON schema that describes the information you want to extract. The app runs a fast parallel constrained decoding method and a standard generation method, showing the ge...","figures":[],"links":[{"url":"https://huggingface.co/spaces/drinkmoonshine/parallel-constrained-decoding","label":"Website"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://huggingface.co/spaces/drinkmoonshine/parallel-constrained-decoding","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"pocketjev","name":"PocketJev","maker":"NullPo-jp","makerUrl":"https://github.com/NullPo-jp","url":"https://github.com/NullPo-jp/PocketJev","category":"benchmarks-research","primitives":["choice","score"],"platform":"Swift","added":"2026-09-17","created":"2026-09-17","summary":"On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.","figures":[],"links":[{"url":"https://github.com/NullPo-jp/PocketJev","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/NullPo-jp/PocketJev","method":"github-api+readme"},"tags":["ios","mlx","on-device-ai","qwen3-vl","swift","swiftui","vision-language-model"],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"shade-arena-jev-monitor","name":"shade-arena-jev-monitor","maker":"nican2018","makerUrl":"https://github.com/nican2018","url":"https://github.com/nican2018/shade-arena-jev-monitor","category":"benchmarks-research","primitives":["score"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Evaluating TypeSafe's Jev as a fast monitor and action gate for agent sabotage in SHADE-Arena, compared with Gemini 2.5 Flash/Pro.","figures":[],"links":[{"url":"https://github.com/nican2018/shade-arena-jev-monitor","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/nican2018/shade-arena-jev-monitor","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["conda create -n shade-arena python=3.11","conda activate shade-arena","pip install -r requirements-jev.txt       # minimal pinned deps; upstream requirements.txt also works","conda env config vars set PYTHONUTF8=1   # task data is UTF-8; Windows defaults to cp1252","conda deactivate && conda activate shade-arena"],"sourceUrl":"https://github.com/nican2018/shade-arena-jev-monitor"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"system-one-adapter-rust","name":"system-one-adapter-rust","maker":"codeitlikemiley","makerUrl":"https://github.com/codeitlikemiley","url":"https://github.com/codeitlikemiley/system-one-adapter-rust","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Rust","added":"2026-09-17","created":"2026-09-16","summary":"Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations)","figures":[],"links":[{"url":"https://github.com/codeitlikemiley/system-one-adapter-rust","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/codeitlikemiley/system-one-adapter-rust","method":"github-api+readme"},"tags":[],"preview":{"kind":"snippet","lines":["use system_one_adapter::{","    Noul, ProviderName, SystemOneAdapterClient, SystemOneArgs,","};","let client = SystemOneAdapterClient::new(true, system_one_adapter::AnswerMode::Probabilities)","    .normalize_probabilities(true);"],"sourceUrl":"https://github.com/codeitlikemiley/system-one-adapter-rust"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"system-one-gemma","name":"system-one-gemma","maker":"akash-kamat","makerUrl":"https://github.com/akash-kamat","url":"https://github.com/akash-kamat/system-one-gemma","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head \u2014 fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.","figures":["Trained on 12,913 questions across 6 tasks, evaluated on held-out data:","The accuracy is modest (it's a 270M model!) but the calibration is excellent \u2014 when it says 80% confidence, it's right ~80% of the time. That's the real value: you can trust the probabilities"],"links":[{"url":"https://github.com/akash-kamat/system-one-gemma","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/akash-kamat/system-one-gemma","method":"github-api+readme"},"tags":["calibration","decision-model","gemma","jev","lora","machine-learning","scoring-model","system-one","transformers","typesafe-ai"],"preview":{"kind":"snippet","lines":["from infer import load_trained_model, score","tok, model = load_trained_model(\"./pretrained-scorer\")","probs = score(model, tok,","    state=\"Patient has chest pain radiating to left arm, ST elevation on ECG\",","    question=\"What is the triage level?\","],"sourceUrl":"https://github.com/akash-kamat/system-one-gemma"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"thaiexam-jev-charts","name":"thaiexam-jev-charts","maker":"vehas","makerUrl":"https://github.com/vehas","url":"https://github.com/vehas/thaiexam-jev-charts","category":"benchmarks-research","primitives":["score"],"platform":"HTML","added":"2026-09-17","created":"2026-09-17","summary":"Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models","figures":["Jev answered 567 ThaiExam questions at 70.7% accuracy, 0.35 s and $0.000029 per question \u2014"],"links":[{"url":"https://github.com/vehas/thaiexam-jev-charts","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/vehas/thaiexam-jev-charts","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-chess-eval","name":"Typesafe_chess_eval","maker":"AliceRoselia","makerUrl":"https://github.com/AliceRoselia","url":"https://github.com/AliceRoselia/Typesafe_chess_eval","category":"benchmarks-research","primitives":[],"platform":"Python","added":"2026-09-17","created":"2026-09-17","summary":"An evaluation of typesafe AI chess. As it turns out, the AI isn't doing really well even though chess is not a particularly open-ended game. Still, it's only a prototype and this probably wasn't optimzied for games.","figures":[],"links":[{"url":"https://github.com/AliceRoselia/Typesafe_chess_eval","label":"GitHub repository"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://github.com/AliceRoselia/Typesafe_chess_eval","method":"github-api+readme"},"tags":[],"preview":{"kind":"plate"},"stars":{"value":0,"source":"api.github.com","capturedAt":"2026-09-18T22:58:45Z"}},{"id":"typesafe-oracles","name":"typesafe-oracles","maker":"trophee-bot","makerUrl":"https://github.com/trophee-bot","url":"https://github.com/trophee-bot/typesafe-oracles","category":"benchmarks-research","primitives":["choice","score","noul"],"platform":"JavaScript","added":"2026-09-17","created":"2026-09-16","summary":"Evaluating TypeSafe's System One primitives (Choice/Score/Noul) \u2014 where a typed oracle beats an LLM call","figures":["Haiku-API run; the claude -p arm is ~8x the API arm and exists only to show what CLI 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What it does, where it fits, and how to start.","figures":[],"links":[{"url":"https://ziplyne.agency/blog/ai-that-doesnt-talk-typesafe-jev-guide","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://ziplyne.agency/blog/ai-that-doesnt-talk-typesafe-jev-guide","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"aiavatarkit-turn-end-gate","name":"AIAvatarKit turn-end gate","maker":"\u3046\u3048\u305e\u3046@\u3046\u306a\u6280\u7814\u4ee3\u8868 (@uezochan)","makerUrl":"https://x.com/uezochan","url":"https://x.com/uezochan/status/2100608556823388486","category":"applications","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Jev\u3067\u97f3\u58f0\u5bfe\u8a71\u306e\u30bf\u30fc\u30f3\u30a8\u30f3\u30c9\u5224\u5b9a\u3084\u3063\u3066\u307f\u305f\u3002\u767a\u8a71\u7d42\u4e86\u5f8c0.5\u79d2\u5f8c\u306bJev\u3067\u30bf\u30fc\u30f3\u30a8\u30f3\u30c9\u3057\u305f\u304b\u3069\u3046\u304b\u3092\u5224\u5b9a\u3057\u3066\u3001\u30b9\u30b3\u30a2\u306b\u5fdc\u3058\u3066\u8ffd\u52a0\u30db\u30fc\u30eb\u30c9\u3002","figures":[],"links":[{"url":"https://x.com/uezochan/status/2100608556823388486","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/uezochan/status/2100608556823388486","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cJev\u3067\u97f3\u58f0\u5bfe\u8a71\u306e\u30bf\u30fc\u30f3\u30a8\u30f3\u30c9\u5224\u5b9a\u3084\u3063\u3066\u307f\u305f\u3002\u767a\u8a71\u7d42\u4e86\u5f8c0.5\u79d2\u5f8c\u306bJev\u3067\u30bf\u30fc\u30f3\u30a8\u30f3\u30c9\u3057\u305f\u304b\u3069\u3046\u304b\u3092\u5224\u5b9a\u3057\u3066\u3001\u30b9\u30b3\u30a2\u306b\u5fdc\u3058\u3066\u8ffd\u52a0\u30db\u30fc\u30eb\u30c9\u3002\ntimeout=3.0\u3068\u304b\u51fa\u3066\u308b\u306e\u304c\u8ffd\u52a0\u30db\u30fc\u30eb\u30c9\u6642\u9593\u3002None\u306f\u8ffd\u52a0\u306a\u3057\u3002elapsed=0.224\u3068\u304b\u51fa\u3066\u308b\u306e\u304cJev\u306e\u51e6\u7406\u6642\u9593\u3002\n\n\u307e\u3060\u307e\u3060\u8ffd\u3044\u8fbc\u307f\u304c\u3044\u308b\u3051\u3069\u53ef\u80fd\u6027\u3092\u611f\u3058\u308b\" / X\u201d"],"sourceUrl":"https://x.com/uezochan/status/2100608556823388486"}},{"id":"ainews-jev-a-system-one-model-that-only-decides","name":"AINews: Jev, a System One Model that only decides","maker":"Latent.Space","makerUrl":"https://www.latent.space/p/ainews-jev-a-system-one-model-that","url":"https://www.latent.space/p/ainews-jev-a-system-one-model-that","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"congrats to TypeSafe!","figures":[],"links":[{"url":"https://www.latent.space/p/ainews-jev-a-system-one-model-that","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://www.latent.space/p/ainews-jev-a-system-one-model-that","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"browser-use-jev","name":"Browser Use + Jev","maker":"Gregor Zunic (@gregpr07)","makerUrl":"https://x.com/gregpr07","url":"https://x.com/gregpr07/status/2100411066966749359","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Breaking: Browser Use + Jev = Ultrafast \u26a1","figures":[],"links":[{"url":"https://x.com/gregpr07/status/2100411066966749359","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/gregpr07/status/2100411066966749359","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cBreaking: Browser Use + Jev = Ultrafast \u26a1\n\nFindings flights took 7s and cost only $0.0039 \ud83e\udd2f\n\n&gt; new action space every step\n&gt; DOM state space\n&gt; small LLM fallback to type\n\n\u201d"],"sourceUrl":"https://x.com/gregpr07/status/2100411066966749359"}},{"id":"computer-use-built-on-jev","name":"Computer use built on Jev","maker":"aaron (@awlevin)","makerUrl":"https://x.com/awlevin","url":"https://x.com/awlevin/status/2100262612428894676","category":"browser-computer-use","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"aaron's computer-use agent built on Jev \u2014 maker-reported ~155x cheaper than Opus 5 and ~20x faster than a frontier-LLM driver.","figures":[],"links":[{"url":"https://x.com/awlevin/status/2100262612428894676","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/awlevin/status/2100262612428894676","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201ci built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's\n\nmore on how it works in the vid &amp; thread below:\" / X\u201d"],"sourceUrl":"https://x.com/awlevin/status/2100262612428894676"}},{"id":"consolechaosracing-driven-by-jev","name":"ConsoleChaosRacing driven by Jev","maker":"Maoku (@Maoku)","makerUrl":"https://x.com/Maoku","url":"https://x.com/Maoku/status/2100611986358927627","category":"demos-bots","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Typesafe system_one \u2026 Jev \u3061\u3083\u3093","figures":[],"links":[{"url":"https://x.com/Maoku/status/2100611986358927627","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/Maoku/status/2100611986358927627","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cTypesafe system_one \u2026 Jev \u3061\u3083\u3093\u3000\n\u904b\u8ee2\u3067\u304d\u308b\u3089\u3057\u3044\u304b\u3089\u3000ConsoleChaosRacing \u3092\u904b\u8ee2\u3057\u3066\u3088\u3063\u3066PythonAPI\u3064\u306a\u3052\u3066\u8868\u793aUI\u4ed8\u3051\u8db3\u3057\u3066\u3063\u3066\u3084\u3063\u305f\u3089\n\u30c9\u30e9\u30a4\u30d6\u3059\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u3093\u3060\u3051\u3069\n\n\u304a\u3082\u3044\u3063\u304d\u308a\u601d\u8003\u6642\u9593\u7a3c\u3050\u6280\u3092\u7528\u3044\u3066\u3044\u3066\u8ce2\u3059\u304e\u305f\uff08\u7e4b\u304e\u8fbc\u307f\u3092\u4f5c\u3063\u305fOpus5\u3061\u3083\u3093\u306e\u4ed5\u696d\uff09\ud83e\udd23\n\n\u305d\u308c\u3067\u3082\u3053\u306e\u5fdc\u7b54\u901f\u5ea6\u3067\u52d5\u3044\u3066\u3044\u308b\u306e\u201d"],"sourceUrl":"https://x.com/Maoku/status/2100611986358927627"}},{"id":"duckdb-jev-classifier","name":"DuckDB Jev classifier","maker":"Hamilton Ulmer (@hamiltonulmer)","makerUrl":"https://x.com/hamiltonulmer","url":"https://x.com/hamiltonulmer/status/2100370557405667768","category":"applications","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Hamilton Ulmer's DuckDB extension that runs Jev classification as a SQL function \u2014 rows in, typed labels out, inside the query engine.","figures":[],"links":[{"url":"https://x.com/hamiltonulmer/status/2100370557405667768","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/hamiltonulmer/status/2100370557405667768","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table\n\nabout 10sec for 1k rows ~ better than usi\u201d"],"sourceUrl":"https://x.com/hamiltonulmer/status/2100370557405667768"},"detail":"A DuckDB extension by Hamilton Ulmer that exposes Jev classification as a SQL function \u2014 label every row of a table without leaving the query engine."},{"id":"early-jev-tools-roundup","name":"Early Jev tools roundup","maker":"\u601d\u7ef4\u602a\u602a (@0xLogicrw)","makerUrl":"https://x.com/0xLogicrw","url":"https://x.com/0xLogicrw/status/2100478725393686556","category":"community-lists","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Jev \u8fd9\u4e2a waitlist \u8fd8\u662f\u5f88\u7ed9\u529b\u7684\uff0c\u6628\u5929\u7533\u8bf7\uff0c\u4eca\u5929\u5c31\u80fd\u7528\u4e0a\u3002","figures":[],"links":[{"url":"https://x.com/0xLogicrw/status/2100478725393686556","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/0xLogicrw/status/2100478725393686556","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cJev \u8fd9\u4e2a waitlist \u8fd8\u662f\u5f88\u7ed9\u529b\u7684\uff0c\u6628\u5929\u7533\u8bf7\uff0c\u4eca\u5929\u5c31\u80fd\u7528\u4e0a\u3002\n\n\u7ed9\u5df2\u7ecf\u62ff\u5230 API\u3001\u4f46\u8fd8\u4e0d\u77e5\u9053\u600e\u4e48\u73a9\u7684\u4eba\u6574\u7406\u4e86\u4e00\u4efd Awesome Jev\uff0c\u76ee\u524d\u6211\u80fd\u786e\u8ba4\u5230\u7684 Jev \u9879\u76ee\u57fa\u672c\u90fd\u5728\u8fd9\u91cc\uff1a\n\n1. jev-ultrafast\nBrowser Use \u505a\u7684\u9ad8\u901f\u6d4f\u89c8\u5668 Agent\u3002Jev \u8d1f\u8d23\u6bcf\u4e00\u6b65\u5224\u65ad\u300c\u505a\u4ec0\u4e48\u3001\u70b9\u54ea\u4e2a\u5143\u7d20\u300d\uff0c\u9700\u8981\u8f93\u5165\u6587\u5b57\u65f6\u624d\u8c03\u7528\u5c0f\u6a21\u578b\u3002G\u201d"],"sourceUrl":"https://x.com/0xLogicrw/status/2100478725393686556"}},{"id":"ground-truth-news-framing-extension","name":"Ground Truth news-framing extension","maker":"D (@jagenaujagenau)","makerUrl":"https://x.com/jagenaujagenau","url":"https://x.com/jagenaujagenau/status/2100622352333574460","category":"browser-computer-use","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"A small browser extension that scores the news article you're reading for framing and loaded language, using Jev to judge the text.","figures":[],"links":[{"url":"https://x.com/jagenaujagenau/status/2100622352333574460","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/jagenaujagenau/status/2100622352333574460","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI built Ground Truth, a tiny browser extension that analyzes the news article you\u2019re reading and shows you its political framing, article type, topic, and how loaded the language i\u201d"],"sourceUrl":"https://x.com/jagenaujagenau/status/2100622352333574460"}},{"id":"hacker-news-launch-thread","name":"Hacker News launch thread","maker":"Hacker News","makerUrl":"https://news.ycombinator.com/item?id=49717558","url":"https://news.ycombinator.com/item?id=49717558","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Introducing System One Models and Jev | Hacker News","figures":[],"links":[{"url":"https://news.ycombinator.com/item?id=49717558","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://news.ycombinator.com/item?id=49717558","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"he-says-he-co-invented-chatgpt-his-new-ai-will-not-write-a-w","name":"He says he co-invented ChatGPT. His new AI will not write a word","maker":"Gabriel Anhaia","makerUrl":"https://dev.to/gabrielanhaia/he-says-he-co-invented-chatgpt-his-new-ai-jev-wont-write-a-word-e3c","url":"https://dev.to/gabrielanhaia/he-says-he-co-invented-chatgpt-his-new-ai-jev-wont-write-a-word-e3c","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Jev answers with typed decisions and probabilities, never text. The TypeScript API, and the catch hiding inside 'zero hallucinations'. Tagged with ai, llm, typescript, machinelearning.","figures":[],"links":[{"url":"https://dev.to/gabrielanhaia/he-says-he-co-invented-chatgpt-his-new-ai-jev-wont-write-a-word-e3c","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://dev.to/gabrielanhaia/he-says-he-co-invented-chatgpt-his-new-ai-jev-wont-write-a-word-e3c","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"hide-posts-on-x-with-natural-language","name":"Hide posts on X with natural language","maker":"Marcel Pociot \ud83e\uddea (@marcelpociot)","makerUrl":"https://x.com/marcelpociot","url":"https://x.com/marcelpociot/status/2100520134481735729","category":"browser-computer-use","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Marcel Pociot's browser extension that hides or collapses X posts matching a natural-language rule, with Jev deciding post by post.","figures":[],"links":[{"url":"https://x.com/marcelpociot/status/2100520134481735729","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/marcelpociot/status/2100520134481735729","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI built a browser extension with Jev @typesafeai that can hide/collapse posts on X based on natural language.\n\nIt's so fast that it's not noticeable and insanely cheap...this must \u201d"],"sourceUrl":"https://x.com/marcelpociot/status/2100520134481735729"}},{"id":"hook-panel-a-b-tester","name":"Hook panel A/B tester","maker":"Vybhav Ramachandran (@Vybhav)","makerUrl":"https://x.com/Vybhav","url":"https://x.com/Vybhav/status/2100609472750047263","category":"applications","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Near-real-time A/B testing of TikTok/Instagram hook panels against ~100 rich personas \u2014 Jev plays each persona and rates the hook.","figures":[],"links":[{"url":"https://x.com/Vybhav/status/2100609472750047263","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/Vybhav/status/2100609472750047263","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI built near-real-time A/B testing of TikTok/Instagram hooks against a 100 rich personas using Jev from @typesafeai! \n\nStuff like this was super ROI negative in the past. A panel l\u201d"],"sourceUrl":"https://x.com/Vybhav/status/2100609472750047263"}},{"id":"internal-classifier-field-note","name":"Internal classifier field note","maker":"iden (@identityTorn)","makerUrl":"https://x.com/identityTorn","url":"https://x.com/identityTorn/status/2100475121324728615","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Field notes from pointing Jev at an internal benchmark classifier: what worked, what didn't, and what the confidence scores said.","figures":[],"links":[{"url":"https://x.com/identityTorn/status/2100475121324728615","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/identityTorn/status/2100475121324728615","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cwas pumped to get early access to @typesafe_ai's Jev, pointed it at an internal benchmark\n\nJev zero-shot was within ~5 pts of recall of our fine-tune at matched precision. cost-wis\u201d"],"sourceUrl":"https://x.com/identityTorn/status/2100475121324728615"}},{"id":"jev-as-an-agent-safety-monitor","name":"Jev as an agent safety monitor","maker":"\ud83d\ude0eNick \u5e38\u80dc (@isNickMa)","makerUrl":"https://x.com/isNickMa","url":"https://x.com/isNickMa/status/2100566407524344225","category":"benchmarks-research","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"An experiment using Jev as a safety monitor over an AI agent's proposed actions \u2014 flagging risky steps by probability.","figures":[],"links":[{"url":"https://x.com/isNickMa/status/2100566407524344225","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/isNickMa/status/2100566407524344225","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cTested TypeSafe\u2019s Jev (no-text, probability-only model) as an AI agent safety monitor.\n\nChecking each action first worked well caught most attacks with almost no false blocks, and \u201d"],"sourceUrl":"https://x.com/isNickMa/status/2100566407524344225"}},{"id":"jev-gomoku-harness","name":"Jev gomoku harness","maker":"V\u00ed\u0165a \ud835\udd4f-Vacek (@VacekvVita)","makerUrl":"https://x.com/VacekvVita","url":"https://x.com/VacekvVita/status/2100609341145465325","category":"demos-bots","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"V\u00ed\u0165a Vacek's gomoku harness: local tactics shrink 225 moves to ~40 candidates, then Jev picks the move.","figures":[],"links":[{"url":"https://x.com/VacekvVita/status/2100609341145465325","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/VacekvVita/status/2100609341145465325","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI built a Jev harness to play Gmoku. \n\nHow it works - instead of asking to evaluate all 225 moves, my harness does the tactical work first.\n\nEvery turn it:\n\u2022 detects wins, blocks, \u201d"],"sourceUrl":"https://x.com/VacekvVita/status/2100609341145465325"}},{"id":"jev-in-34-seconds","name":"Jev in 34 seconds","maker":"Daniel White (@dwhitedesign)","makerUrl":"https://x.com/dwhitedesign","url":"https://x.com/dwhitedesign/status/2100368024649769384","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Daniel White's 34-second explainer of what Jev is and how the typed-question API works.","figures":[],"links":[{"url":"https://x.com/dwhitedesign/status/2100368024649769384","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/dwhitedesign/status/2100368024649769384","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cSpent the evening making sense of this, so here's Jev in 34 seconds.\n\nSuper excited to build some incredible things with @typesafeai what a time to be alive...\" / X\u201d"],"sourceUrl":"https://x.com/dwhitedesign/status/2100368024649769384"}},{"id":"jev-in-a-grammarly-style-mac-app","name":"Jev in a Grammarly-style Mac app","maker":"Niels Mouthaan (@nielsmouthaan)","makerUrl":"https://x.com/nielsmouthaan","url":"https://x.com/nielsmouthaan/status/2100543809465577665","category":"applications","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Built a Grammarly-like Mac app with Jev.","figures":[],"links":[{"url":"https://x.com/nielsmouthaan/status/2100543809465577665","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/nielsmouthaan/status/2100543809465577665","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cBuilt a Grammarly-like Mac app with Jev.\n\nJev is TypeSafe\u2019s first \u201cSystem One Model\u201d, built for fast, structured decisions rather than generating text like an LLM.\n\nI wanted to see\u201d"],"sourceUrl":"https://x.com/nielsmouthaan/status/2100543809465577665"}},{"id":"jev-typewriter-launch","name":"Jev Typewriter launch","maker":"Steve Krouse (@stevekrouse)","makerUrl":"https://x.com/stevekrouse","url":"https://x.com/stevekrouse/status/2100287368221659289","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"typesafe's jev is fun! live demo you can play with: https://t.co/ctnPF0w70r\" / X","figures":[],"links":[{"url":"https://x.com/stevekrouse/status/2100287368221659289","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/stevekrouse/status/2100287368221659289","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201ctypesafe's jev is fun! live demo you can play with: https://t.co/ctnPF0w70r\" / X\u201d"],"sourceUrl":"https://x.com/stevekrouse/status/2100287368221659289"}},{"id":"jev-vs-qwen-on-cerebras","name":"Jev vs Qwen on Cerebras","maker":"Shannon \ud83e\udd16\u2620\ufe0f (@iamMrDuncan)","makerUrl":"https://x.com/iamMrDuncan","url":"https://x.com/iamMrDuncan/status/2100467548298899918","category":"benchmarks-research","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b.","figures":[],"links":[{"url":"https://x.com/iamMrDuncan/status/2100467548298899918","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/iamMrDuncan/status/2100467548298899918","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cBuilt an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b.\n\nSimilar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did \u201d"],"sourceUrl":"https://x.com/iamMrDuncan/status/2100467548298899918"}},{"id":"jev-zenn-dev","name":"jev \u540c\u58eb\u306b\u4e94\u76ee\u4e26\u3079\u3067\u5bfe\u6226\u3055\u305b\u305f","maker":"mizchi","makerUrl":"https://zenn.dev/mizchi/articles/jev-plays-gomoku","url":"https://zenn.dev/mizchi/articles/jev-plays-gomoku","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"jev \u540c\u58eb\u306b\u4e94\u76ee\u4e26\u3079\u3067\u5bfe\u6226\u3055\u305b\u305f","figures":[],"links":[{"url":"https://zenn.dev/mizchi/articles/jev-plays-gomoku","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://zenn.dev/mizchi/articles/jev-plays-gomoku","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"jev-rabbit-pr-review-bot","name":"jev-rabbit PR review bot","maker":"kitze \ud83d\udee0\ufe0f tinkerer.club (@thekitze)","makerUrl":"https://x.com/thekitze","url":"https://x.com/thekitze/status/2100616530275029139","category":"agent-tooling","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"kitze's PR review bot that uses Jev to make review judgments over pull requests.","figures":[],"links":[{"url":"https://x.com/thekitze/status/2100616530275029139","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/thekitze/status/2100616530275029139","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201ci'm cooking jev-rabbit \ud83d\udc30\n\na PR review bot that uses Jev with a set of rules you write in plain english language (which obv otherwise cannot be defined with ts, linters, etc.)\n\nshou\u201d"],"sourceUrl":"https://x.com/thekitze/status/2100616530275029139"}},{"id":"jev-system-one-models-explained","name":"Jev: System One models explained","maker":"The Neuron","makerUrl":"https://www.theneuron.ai/explainer-articles/typesafe-jev-system-one-models-explained/","url":"https://www.theneuron.ai/explainer-articles/typesafe-jev-system-one-models-explained/","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"TypeSafe\u2019s JEV returns structured decisions with confidence scores instead of chatbot replies. Here\u2019s how it works and where it could fit in AI workflows.","figures":[],"links":[{"url":"https://www.theneuron.ai/explainer-articles/typesafe-jev-system-one-models-explained/","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://www.theneuron.ai/explainer-articles/typesafe-jev-system-one-models-explained/","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"jev-the-language-model-that-will-not-talk","name":"Jev: The Language Model That Will Not Talk","maker":"Anthony Maio","makerUrl":"https://anthonymaio.substack.com/p/jev-the-language-model-that-wont","url":"https://anthonymaio.substack.com/p/jev-the-language-model-that-wont","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"The interesting claim in Jev isn\u2019t the price, although that promises to be a game-changer.","figures":[],"links":[{"url":"https://anthonymaio.substack.com/p/jev-the-language-model-that-wont","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://anthonymaio.substack.com/p/jev-the-language-model-that-wont","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"kalshi-prediction-market-bot","name":"Kalshi prediction-market bot","maker":"Bunchhieng Soth (@stablebun)","makerUrl":"https://x.com/stablebun","url":"https://x.com/stablebun/status/2100614911898390589","category":"applications","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"A small bot that asks Jev for a decision on Kalshi 15-minute and 1-hour BTC, ETH, and SOL markets.","figures":[],"links":[{"url":"https://x.com/stablebun/status/2100614911898390589","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/stablebun/status/2100614911898390589","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI built a little JEV bot to trade on @Kalshi across 15m &amp; 1h #BTC, #ETH, and #SOL markets \ud83e\udd16 \n\nPretty fun building this while still putting that $5 credit to work instead of bur\u201d"],"sourceUrl":"https://x.com/stablebun/status/2100614911898390589"}},{"id":"launch-thread-by-diogo-almeida","name":"Launch thread by Diogo Almeida","maker":"Diogo Almeida (@CompleteSkeptic)","makerUrl":"https://x.com/CompleteSkeptic","url":"https://x.com/CompleteSkeptic/status/2099925682726002904","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?","figures":[],"links":[{"url":"https://x.com/CompleteSkeptic/status/2099925682726002904","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/CompleteSkeptic/status/2099925682726002904","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cAfter co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?\n\nI\u2019ve spent the last 2 years in stealth building a new way to train models (RLCD),\u201d"],"sourceUrl":"https://x.com/CompleteSkeptic/status/2099925682726002904"}},{"id":"mini-vibe-check-jev-judged-everything-i-have-written-in-0-7-","name":"Mini-Vibe Check: Jev judged everything I have written in 0.7 seconds","maker":"Mike Taylor (Every)","makerUrl":"https://every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-everything-i-ve-written-in-0-7-seconds","url":"https://every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-everything-i-ve-written-in-0-7-seconds","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Its new model turns fuzzy questions into probabilities fast and cheaply enough to check an AI agent\u2019s work as it goes","figures":[],"links":[{"url":"https://every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-everything-i-ve-written-in-0-7-seconds","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://every.to/also-true-for-humans/mini-vibe-check-typesafe-s-jev-judged-everything-i-ve-written-in-0-7-seconds","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"model-router-built-with-jev","name":"Model router built with Jev","maker":"Duncan (@ephraimduncan)","makerUrl":"https://x.com/ephraimduncan","url":"https://x.com/ephraimduncan/status/2100454070536351824","category":"agent-tooling","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Built a model router with Jev by @typesafeai.","figures":[],"links":[{"url":"https://x.com/ephraimduncan/status/2100454070536351824","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/ephraimduncan/status/2100454070536351824","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cBuilt a model router with Jev by @typesafeai. \n\nJev decides what model fits your request best and the request is sent to that model.\" / X\u201d"],"sourceUrl":"https://x.com/ephraimduncan/status/2100454070536351824"}},{"id":"model-router-cli","name":"Model router CLI","maker":"Nidhi Singh (@nidhisinghattri)","makerUrl":"https://x.com/nidhisinghattri","url":"https://x.com/nidhisinghattri/status/2100617830890885415","category":"agent-tooling","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Nidhi Singh's CLI model router \u2014 Jev decides which model handles each prompt.","figures":[],"links":[{"url":"https://x.com/nidhisinghattri/status/2100617830890885415","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/nidhisinghattri/status/2100617830890885415","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201ci used jev from typesafeai to build a model router cli\n\nyou give in a task and current ai subscriptions you have, the jev tells you which agent/model should pick it up\n\npair this w\u201d"],"sourceUrl":"https://x.com/nidhisinghattri/status/2100617830890885415"}},{"id":"one-judge-call-vs-twelve-dimension-scores","name":"One judge call vs twelve dimension scores","maker":"Agent Journal","makerUrl":"https://agentjournal.dev/blog/llm-judge-vs-feature-extraction/","url":"https://agentjournal.dev/blog/llm-judge-vs-feature-extraction/","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-18","created":null,"summary":"Jev as a feature extractor vs a single judge call, measured on three classification tasks: 34.1M input tokens, $1.43, 25\u00d7 the false positives. When decomposition actually pays.","figures":[],"links":[{"url":"https://x.com/agent_journal/status/2100611808545632758","label":"Post on X"},{"url":"https://agentjournal.dev/blog/llm-judge-vs-feature-extraction/","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://agentjournal.dev/blog/llm-judge-vs-feature-extraction/","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"opencode-browser-use-powered-by-jev","name":"OpenCode browser use powered by Jev","maker":"dax (@thdxr)","makerUrl":"https://x.com/thdxr","url":"https://x.com/thdxr/status/2100288951978164647","category":"browser-computer-use","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"preview of how fast browser use can be","figures":[],"links":[{"url":"https://x.com/thdxr/status/2100288951978164647","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/thdxr/status/2100288951978164647","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cpreview of how fast browser use can be\n\npowered by typesafe's jev and opencode's browser use cli\" / X\u201d"],"sourceUrl":"https://x.com/thdxr/status/2100288951978164647"}},{"id":"skillbox-jev-skill-routing","name":"skillbox + Jev skill routing","maker":"kitze \ud83d\udee0\ufe0f tinkerer.club (@thekitze)","makerUrl":"https://x.com/thekitze","url":"https://x.com/thekitze/status/2100556122570792999","category":"agent-tooling","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"kitze wired Jev into skillbox so Jev picks the right skill instead of the agent burning turns searching.","figures":[],"links":[{"url":"https://x.com/thekitze/status/2100556122570792999","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/thekitze/status/2100556122570792999","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201ci added Jev to skillbox so instead of my dumb agents doing 30 turns on finding the right skill, Jev reads the query and immediately returns the relevant skills \ud83d\udc80 dope shit\" / X\u201d"],"sourceUrl":"https://x.com/thekitze/status/2100556122570792999"}},{"id":"spanish-aepd-corpus-test","name":"Spanish AEPD corpus test","maker":"juanmacias \ud83c\udff3\ufe0f\u200d\ud83c\udf08 (@juanmacias)","makerUrl":"https://x.com/juanmacias","url":"https://x.com/juanmacias/status/2100463494629925048","category":"benchmarks-research","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"He probado @typesafeai y la verdad es que merece la pena much\u00edsimo. Tiene unos casos de usos muy espec\u00edficos que me han venido super bien.\" / X","figures":[],"links":[{"url":"https://x.com/juanmacias/status/2100463494629925048","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/juanmacias/status/2100463494629925048","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cHe probado @typesafeai y la verdad es que merece la pena much\u00edsimo. Tiene unos casos de usos muy espec\u00edficos que me han venido super bien.\" / X\u201d"],"sourceUrl":"https://x.com/juanmacias/status/2100463494629925048"}},{"id":"stagehand-jev-browser-use","name":"Stagehand + Jev browser use","maker":"Kyle Jeong (@kylejeong)","makerUrl":"https://x.com/kylejeong","url":"https://x.com/kylejeong/status/2100622054945095934","category":"browser-computer-use","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Browser/computer use combining Jev decisions with Stagehand \u2014 built for speed.","figures":[],"links":[{"url":"https://x.com/kylejeong/status/2100622054945095934","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/kylejeong/status/2100622054945095934","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cwe built blazing fast computer/browser use with Jev + @Stagehanddev.\n\nthis task cost $0.001 and executed at near instant speed (in a remote browser btw)\n\nthe loop: observe the page\u201d"],"sourceUrl":"https://x.com/kylejeong/status/2100622054945095934"}},{"id":"starcraft-brood-war-wasm-mcp-demo","name":"StarCraft Brood War WASM MCP demo","maker":"Denis Shiryaev \ud83d\udc99\ud83d\udc9b (@literallydenis)","makerUrl":"https://x.com/literallydenis","url":"https://x.com/literallydenis/status/2100622868878868603","category":"demos-bots","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Jev is impressive, but it still can\u2019t withstand a StarCraft BW Zerg rush","figures":[],"links":[{"url":"https://x.com/literallydenis/status/2100622868878868603","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/literallydenis/status/2100622868878868603","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cJev is impressive, but it still can\u2019t withstand a StarCraft BW Zerg rush\n\nNo one can\n\n(SC BW WASM converted to MCP server in this demo)\" / X\u201d"],"sourceUrl":"https://x.com/literallydenis/status/2100622868878868603"}},{"id":"support-ticket-classifier","name":"Support ticket classifier","maker":"Fahim Reza (@ifahimreza)","makerUrl":"https://x.com/ifahimreza","url":"https://x.com/ifahimreza/status/2100616988746023102","category":"applications","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Fahim Reza's tiny support-ticket classifier, ported from a GPT baseline to JEV with promising results.","figures":[],"links":[{"url":"https://x.com/ifahimreza/status/2100616988746023102","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/ifahimreza/status/2100616988746023102","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201ci built a tiny support ticket classifier with JEV that initially used GPT, then tested the same flow with JEV using a few real customer messages.\n\nJEV decides the category, urgency\u201d"],"sourceUrl":"https://x.com/ifahimreza/status/2100616988746023102"}},{"id":"tabletop-mmorpg-action-mapper","name":"Tabletop MMORPG action mapper","maker":"hot shit bangers (@Jon_iy)","makerUrl":"https://x.com/Jon_iy","url":"https://x.com/Jon_iy/status/2100397782322364792","category":"demos-bots","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Maps natural-language tabletop/MMORPG player actions to game moves using Jev decisions.","figures":[],"links":[{"url":"https://x.com/Jon_iy/status/2100397782322364792","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/Jon_iy/status/2100397782322364792","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI have to say, this guys from @typesafeai just did probably the best AI model I ever wanted for my use case, and Jev might change what I can pull off with my game.\n\nI'm building a \u201d"],"sourceUrl":"https://x.com/Jon_iy/status/2100397782322364792"}},{"id":"typed-decisions-not-chat","name":"Typed decisions, not chat","maker":"Warmer Sun","makerUrl":"https://warmersun.com/jev/","url":"https://warmersun.com/jev/","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Jev by TypeSafe AI \u2014 a tech primer on typed decisions, speed claims, and an inspectable audit trail. Research appendix attached.","figures":[],"links":[{"url":"https://warmersun.com/jev/","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://warmersun.com/jev/","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"typesafe-ai-debuts-model-for-machines-that-plays-doom","name":"TypeSafe AI debuts model for machines that plays Doom","maker":"The Register","makerUrl":"https://www.theregister.com/ai-and-ml/2026/09/16/typesafe-ai-debuts-model-for-machines-that-plays-doom/5296711","url":"https://www.theregister.com/ai-and-ml/2026/09/16/typesafe-ai-debuts-model-for-machines-that-plays-doom/5296711","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"'Jev' doesn't chat. It produces typed probabilistic decisions","figures":[],"links":[{"url":"https://www.theregister.com/ai-and-ml/2026/09/16/typesafe-ai-debuts-model-for-machines-that-plays-doom/5296711","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://www.theregister.com/ai-and-ml/2026/09/16/typesafe-ai-debuts-model-for-machines-that-plays-doom/5296711","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"typesafe-jev-the-first-decision-only-model-class","name":"TypeSafe Jev: the first decision-only model class","maker":"Developers Digest","makerUrl":"https://www.developersdigest.tech/blog/typesafe-jev-system-one-models-release-guide-2026","url":"https://www.developersdigest.tech/blog/typesafe-jev-system-one-models-release-guide-2026","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"TypeSafe's Jev is the first 'System One' model: no text generation, typed decisions with calibrated probabilities, 70-500ms responses, and $0.042 per million...","figures":[],"links":[{"url":"https://www.developersdigest.tech/blog/typesafe-jev-system-one-models-release-guide-2026","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://www.developersdigest.tech/blog/typesafe-jev-system-one-models-release-guide-2026","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"typesafe-jev-zenn-dev","name":"TypeSafe\u306eJev\u3092\u6b63\u3057\u304f\u9a5a\u304f","maker":"nwn","makerUrl":"https://zenn.dev/nwn/articles/824026c76116e0","url":"https://zenn.dev/nwn/articles/824026c76116e0","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"TypeSafe\u306eJev\u3092\u6b63\u3057\u304f\u9a5a\u304f\u3001\u305d\u308c\u3063\u3066LLM\u3067\u3067\u304d\u307e\u305b\u3093\u304b\uff1f","figures":[],"links":[{"url":"https://zenn.dev/nwn/articles/824026c76116e0","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://zenn.dev/nwn/articles/824026c76116e0","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"vercel-fx-jev-as-a-command-safety-reviewer","name":"Vercel fx: Jev as a command safety reviewer","maker":"Guillermo Rauch (@rauchg)","makerUrl":"https://x.com/rauchg","url":"https://x.com/rauchg/status/2100307962262872105","category":"agent-tooling","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"We're seeing extraordinary results from @typesafeai. Default mode in \ud835\ude8f\ud835\udea1 is auto, with a safety reviewer analyzing every command.","figures":[],"links":[{"url":"https://x.com/rauchg/status/2100307962262872105","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/rauchg/status/2100307962262872105","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cWe're seeing extraordinary results from @typesafeai. Default mode in \ud835\ude8f\ud835\udea1 is auto, with a safety reviewer analyzing every command.\n\nThat reviewer runs on GPT Luna today. Jev is up to\u201d"],"sourceUrl":"https://x.com/rauchg/status/2100307962262872105"}},{"id":"vizdoom-jev-agent","name":"ViZDoom Jev agent","maker":"Kevin Madura (@kmad)","makerUrl":"https://x.com/kmad","url":"https://x.com/kmad/status/2100339921714323624","category":"demos-bots","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Kevin Madura's ViZDoom agent \u2014 Jev plays Doom from game state, the community's hello-world.","figures":[],"links":[{"url":"https://x.com/kmad/status/2100339921714323624","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/kmad/status/2100339921714323624","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201cI feel like the Jev hello world is playing DOOM\n... and it works incredibly well with ViZDoom\n\nFor this we set up two decision channels: \n - Navigation (5 decisions/s)\n - Combat (1\u201d"],"sourceUrl":"https://x.com/kmad/status/2100339921714323624"}},{"id":"what-is-jev","name":"What is Jev?","maker":"Mohammed Shehu","makerUrl":"https://mohammedshehu.com/jev-typesafe-ai/","url":"https://mohammedshehu.com/jev-typesafe-ai/","category":"articles-threads","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"Learn how TypeSafe AI's Jev model works, how to use it in Python, and how its structured AI decisions could support real-world use cases.","figures":[],"links":[{"url":"https://mohammedshehu.com/jev-typesafe-ai/","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://mohammedshehu.com/jev-typesafe-ai/","method":"http-get"},"tags":[],"preview":{"kind":"plate"}},{"id":"wiki-link-clicker-demo","name":"Wiki-link clicker demo","maker":"Marcos Filho (@mark1nhu)","makerUrl":"https://x.com/mark1nhu","url":"https://x.com/mark1nhu/status/2100620075090792490","category":"demos-bots","primitives":[],"platform":null,"added":"2026-09-17","created":null,"summary":"@drefrajo @Neriousy @typesafeai @opencode Yes. Each page has some link candidates and then Jev chooses which link to click based on the stated goal.","figures":[],"links":[{"url":"https://x.com/mark1nhu/status/2100620075090792490","label":"Link"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://x.com/mark1nhu/status/2100620075090792490","method":"http-get"},"tags":[],"preview":{"kind":"snippet","lines":["\u201c@drefrajo @Neriousy @typesafeai @opencode Yes. Each page has some link candidates and then Jev chooses which link to click based on the stated goal.\n\nI mean, it's a simple demo, no\u201d"],"sourceUrl":"https://x.com/mark1nhu/status/2100620075090792490"}},{"id":"jev-poker-eval","name":"Jev is the fish at the poker table","maker":"backnotprop","makerUrl":"https://backnotprop.com","url":"https://backnotprop.com/blog/jev-poker/","category":"benchmarks-research","primitives":["choice","noul"],"platform":null,"added":"2026-09-17","created":"2026-09-17","summary":"An independent eval: Jev plays solved flop spots against TexasSolver \u2014 matches the solver's top action 63% of the time, and shoves 4x pot with the nuts because the state never says 'you're ahead'.","figures":["matched the solver's top action on 63% of 30 spots","215 ms per decision (maker-reported)","shoved all-in on 16 of 16 runs holding the nuts when the state didn't name the opponent's hand"],"links":[{"url":"https://backnotprop.com/blog/jev-poker/","label":"Article"}],"verification":{"checkedAt":"2026-09-19","status":"verified","sourceOpened":"https://backnotprop.com/blog/jev-poker/","method":"http-get"},"tags":["poker","eval","solver"],"preview":{"kind":"shape","primitive":"choice","text":"Hero is on the turn and it is hero's turn to act. Which action from `decision.legal_actions` should hero take? \u00b7 check / all_in","sourceUrl":"https://backnotprop.com/blog/jev-poker/"},"detail":"An independent evaluation: the author solved one flop with TexasSolver (0.59% exploitability), then gave Jev the table state and a single Choice question \u2014 which action should hero take. Across 30 spots Jev matched the solver's top action 63% of the time; in a check-or-shove trap spot holding the nuts, Jev shoved 4x pot 62% of runs \u2014 even when shown the opponent's exact cards. The answer only flipped when the state literally named the opponent's hand rank. A careful, unflattering look at what 'a state' must contain."}]}