An LLM built from a classifier

Jev collects the context so your coding agent doesn't have to. The author reports 40% lower agent cost, verified on SWE-bench.

Beacon gathers sessions from Codex, Claude Code, Cursor and 20+ harnesses; Jev picks the runs worth turning into reusable skills.

A cache-aware router that uses Jev to pick the model and reasoning effort for each request, balancing quality, speed and cost.

An old idea worth another look: a classic rule-based expert system, with Jev answering its questions.