Kalshi prediction-market bot

Work-in-progress PR reviewer with plain-English Jev rules.

Hemant Kumar on his 151M ModernBERT reproduction: 0.83% adaptive calibration error, 3.0% of predictions flip when the option list is reversed, 35.6ms on CPU, with the failed use cases reported alongside the wins.

1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.

Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.

📡 全网最全 · The world's most comprehensive tracker of the Jev (TypeSafe AI System One) ecosystem — 220+ documented cases · 108 confidence-graded entries · verified & rescanned every 3 hours · API access guide included

A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.

Company homepage, waitlist, and product overview.

Introduction, primitives, patterns, cookbooks, HTTP API, and SDK references.

Shortest path from an API key to a typed decision.