Jev Streamlit

A beginner-friendly RAG app that answers questions about your documents using only what is written there: rag.py finds the right chunks, asks Jev to check them and gets the answer from OpenAI, while a Streamlit page shows the result with Jev's scores.

A Streamlit lab that places a bounded System One decision inside a coding-agent workflow: Laya classifies CI failures, LangGraph applies a fallback policy, and an OpenAI agent inspects a fixture repo and proposes a fix.

A standalone proof of concept showing Jev as a structured decision layer for support-ticket routing: fixed-option routing, 1–5 urgency scoring and probabilities for sensitive data, with a deterministic confidence and safety policy deciding auto-route versus human review.

Streamlit demo that turns live market data into structured investment decisions with TypeSafe Jev: yfinance supplies prices and fundamentals, then a 20-question model scores buy/sell conviction, financial health and risk.