Jev ecosystem projects — page 6

Personal-assistant agent built on Vercel's eve with 100 mocked tools, measuring how many steps it takes when Jev picks the tool versus the LLM.

Jev Browser — indexed browser automation. Jev chooses the control, Playwright acts. A CodexQA skill.

A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.

Submit Forma <https://joinforma.com> benefit claims from the command line and Model Context Protocol (MCP) clients, with support for AI-powered receipt analysis with an LLM or Jev

A tool calling chat bot built with Jev and no LLM.

Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground

Say it, and your Mac does it. A computer-use harness on Jev that reads the screen through Accessibility. Fast, no vision model

A collection of skills for AI agents (Kiro, Cursor, Windsurf, Claude Code, and others). Each skill is a reusable module that teaches the agent to perform complex tasks with context, structure, and best practices.

A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.

AI-driven intraday trading bot for Indian stocks. Jev ranks the Nifty 50 every 15s; code sizes each trade and places the stop; orders go live through Zerodha Kite or Kotak Neo. Day replay, kill switch, daily loss halt, terminal dashboard.

Left-pad strings with TypeSafe AI's Jev. For reasons.

Talk to your Mac. Local whisper.cpp + one Jev (TypeSafe) call per command + macOS automation.

Curated Jev resources and runnable examples for typed AI decisions.

Using Jev as an evaluator.

Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification

Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.

Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.

Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit

A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.

Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples

lint text in code by jev scorerer

grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.

Stops AI coding agents from claiming work is done without evidence. Deterministic hooks decide, TypeSafe's Jev advises. Append-only ledger, zero runtime dependencies.

Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.