grok-bot-jev

Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples

How it uses Jev

Connect TypeSafe Jev to Grok Bot as a cheap decision layer. Jev classifies the request before expensive research, browser, retry, or subagent work, so Grok Bot can reuse a fresh artifact, stop a failing retry, cap research, or ask for approval.

Highlights

  • Across five tasks, flight browser opens went from 1 to 0 when a cached artifact was reused; same-approach retries went from 3 to 0; flight-prep skills loaded went from 6 to 3; mod…
  • The Grok Bot weekly usage meter moved 37% → 38% in the first phase and 39% after the second phase. Exact per-task Grok tokens were unavailable, so this is not a token-savings clai…
  • In the separate 24-candidate timing comparison, the uncapped arm took 53.803 seconds and fetched 14 pages; the Jev-ranked top-five arm took 4.125 seconds and fetched 5 pages, a re…

Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README · the project website.

Keep exploring

Similar to grok-bot-jev

Browse all
jev-builder-loop project preview
Agent tooling
Grok skill: Jev as a judgment sensor in a builder-agent loop (priors × probabilities → next act)
jev-codex-router-skill project preview
Portable Codex Skill for Jev model and reasoning-effort routing, with safe installation and Chinese usage guides
jev-skill-suggester project preview
Agent tooling
用 TypeSafe Jev 推荐已安装 Skill / Bounded installed-skill recommendations with TypeSafe Jev. Python CLI, Codex skill, bilingual docs and live examples.
ai-provider-for-jev project preview
Connect WordPress to TypeSafe's Jev System One model for structured decisions (choice, score, noul).
jevbench project preview
Benchmarks & research
JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.
jev_project_context project preview
Benchmarks & research
Evidence-first long-term experiment memory skill for AI coding agents, with optional Jev decision-model layers
Jev-Trades project preview
Applications
Trading bot with the all new TypeSafe AI's first system one model named as Jev
Footwork project preview
Browser & computer use
A verified browser agent: a cheap Jev guard (evidence-checked completions, a destructive gate) in front of any LLM browser driver, with Jev taking the mechanical steps in dual mode. Built on browser-use; every number pre-registered and measured.
siftr project preview
Benchmarks & research
Fast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench.