All decision model projects

Python tool that measures where to route decisions between Jev and a larger model on your own data, then routes by confidence.

Standard-library Python workbench for repeatable classifier latency and accuracy experiments across Jev, Laya and classifier.dev models.

Browser driver where Jev makes every decision and agent-browser performs every action, benchmarked against Claude Code on 10 tasks.

Jev-powered browser MCP server that makes each step in one parallel call and escalates to the driving LLM only when unsure.

CLI that checks Jev questions against your labelled examples and grades each: act on it, only sort by it, or rewrite it.

Claude Code plugin that routes each prompt, step and subagent to the cheapest capable Claude model with effort caps and a live band.

Offline CLI that measures whether a classifier's confidence matches reality and turns mistake costs into a human hand-off threshold.

Openlayer library packing agent evals and guardrails (tool choice, grounding, injection, PHI) into one decision-model request.

Python library and CLI that turns noisy sources like CI logs, diffs and web pages into small, traceable Jev briefings.

CLI that fits per-question confidence thresholds to a target accuracy on your labelled data, reports escalation share and fails CI on drift.

Auto-clipper for talky videos: code enumerates every possible cut point and Jev judges where each standalone clip starts and ends.

grep by meaning: pipe text in, ask a yes/no question in plain English, and Jev returns matching lines, even behind tail -f.

Zero-shot named entity recognition that turns Jev's Choice answers into entity spans via nominate, verify and boundary questions.

Pre-registered audits of AI judges that measure how many decisions a judge can take alone at a given error rate, with calibration.

Core ML and Neural Engine port of Laya for Apple Silicon, about 5 ms per short decision on an M3 Max with energy benchmarks.

Browser and macOS desktop agent for Pi where Jev picks each action from a structured text observation in a bounded loop.

Pi extension that dedupes repeated file reads and, opt-in, has Jev mark passing-test noise in long logs, with verbatim recall.

Project Zomboid performance patches whose benchmark harness computes numbers in code and, per a list, asks Jev only for the verdict.

CLI and MCP server giving coding agents Jev-powered semantic search, focused reads and list picking in about a second for about a cent.

Apple Silicon workbench running Laya, Decider, Kev and Jev side by side with accuracy, calibration, latency and memory benchmarks.

OpenAI/Anthropic-compatible Go gateway where Jev or Laya rates topic, complexity, risk and privacy to pick the cheapest adequate LLM.

Python toolkit that evaluates LLM, RAG and agent outputs and guards tool calls with typed decision-model questions.

Web search CLI for agents that has Jev score results and scraped chunks against the query and goal, passing only relevant ones on.

Web app that sends identical ticket-routing and alert-triage questions to OpenAI Decisions and Jev side by side.

Single-file, zero-dependency port of jev-ultrafast to Ego Lite: one typed-choice Jev request per browser step, with extra guardrails.

Weekly go-to-market workflows built on Jev, such as lead triage and deal risk, each tested against Claude.

Benchmarks Jev against Luna, Haiku, Gemini and Astra at choosing legal moves in tic-tac-toe and Connect Four.

Pong where the ball moves one step per model decision, pitting Jev against chat LLMs to make decision latency visible.

Runs jev-browser entirely on a local Jev-style engine (Qwen2.5 1.5B decisions, 0.5B typing) on an RTX 2060 SUPER, with no cloud API.

Small Node TypeScript CLI for trying Jev on synthetic support text: one question, three in one request, and latency benchmarks.