Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
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Updated
Sep 18, 2026 - TypeScript
Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
Use Jev everywhere to make & track decisions
MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code
Typed, confidence-aware AI decisions for TypeScript and Python with Jev, OpenRouter, safe fallbacks, and per-call cost tracking.
Zero-dependency, fully auditable TypeScript library that scores a RAG answer inline at query time. No LLM calls. No offline pipeline. Uses signals already in your retrieval stack. Output: a typed 0–100 scorecard with per-dimension breakdowns.
AI Response Validator - Automated accuracy checking, hallucination prevention, and confidence scoring for AI responses
Three-zone confidence propagation (GREEN/YELLOW/RED) — sequential and parallel cascade math for multi-signal decision systems. Part of the Lucineer ecosystem.
Website to track your progress in becoming a God.
SpeakUp is a student-created platform that helps young learners build confidence in public speaking. Explore practical tips, speech structures, competition strategies, famous speakers, practice challenges, and motivational guidance—all designed to help you find your voice and become a better speaker.
To associate your repository with the confidence topic, visit your repo's landing page and select "manage topics."