CalibratedDecisions.

Repo · Benchmarks & research

jev-x-kit

Offline $0 decision layer for coding agents: Choice/Score/Noul primitives, BELKI confidence gatekeeper, ultra-planning, red-teaming, research and…

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From the repository

Offline $0 decision layer for coding agents: Choice/Score/Noul primitives, BELKI confidence gatekeeper, ultra-planning, red-teaming, research and RLVR self-improvement -- as an MCP server + CLI + Claude Code skill.

ai-agentclaude-codeclaude-code-pluginllm-agentmcpmodel-context-protocolself-improving

How builders describe it

Offline $0 decision layer for coding agents: Choice/Score/Noul primitives, BELKI confidence gatekeeper, ultra-planning, red-teaming, research and RLVR self-improvement -- as an MCP server + CLI + Claude Code skill.
A TypeScript framework that puts a System 1 decision layer in front of agent micro-decisions, shipped as a Claude Code plugin, an MCP server and a CLI, with an offline simulator.

The decision Jev makes

Benchmark questions with known answers, to check accuracy and confidence.

Where it fits

Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →

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