AI Starter Checklist & Open Source Tools

A high-speed browser Agent built with Browser Use. Jev only judges 'what to do, which element to click' at each step, and only calls the small model when typing is needed. Searching for a flight on Google Flights takes about 7 seconds.

Context compression for Claude Code. Before each tool call, have Jev judge if there's anything still useful; delete the useless stuff, and keep the original text without rewriting it.

Vercel Labs' generative UI framework. In experiments, Jev doesn't write JSON token by token; it just handles selecting components, properties, and layouts.

Best for people who just got the API. Plug Jev into Claude Code, Claude Desktop, Codex, and Pi, and do Choice / Score / Noul anytime.

Ready-made Agent judgment toolkit: fact-checking, content screening, semantic ranking, classification, and information extraction.

Turn Jev into a command-line tool. Directly classify, score, and filter in the Shell — great for hooking up to crawlers, CI, and data pipelines.

First have Jev judge how hard this round of programming tasks is, then decide the model tier, reasoning depth, and speed mode.

Context garbage collection for Claude Code. When Read / Bash / Grep spits out a ton of stuff, Jev first judges which parts are really relevant to the current task.

Before code review, run it through Jev first to pick out high-risk changes, then hand them off to a pricier big model or a human. Comes with a local dashboard.

Use Jev as a code repository navigator. At each directory level, judge which files are most relevant to the current issue, then keep digging down.

Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next.

Have Jev play Super Mario. No screenshots — just read the structured state in the emulator's RAM, then decide to run, jump, or dodge.

Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles.

1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping.

High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms.

Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy.

Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way.

Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round.

Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable.

Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP.