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I just built a Real-time support triage + response bot using Jev (from @typesafeai) and @cerebras Jev routes the ticket to a specialist agent (general / account / billing / technical) and decides whether a human should take it instead ,Cerebras then drafts the reply using whichever agent Jev picked. Repo: https://t.co/p6y4IQ2VhZ @callmeshuklaji @communidiyi @hackgoofer @dgo_almeida @sydneyrunkle

Built Jev Snake using jev from @typesafeai This is not your classic snake game fyi. 4 modes in total for this game -> Terrain Mode - You can generate objects REALTIME by writing ANY word. - The properties of the object will by given by Jev. - Your snake will react likewise with the object. HOT/COLD Mode - There are 70 fixed words that randomly appear. - Jev decides its effects - Far better you can type out word realtime. Jev will decide its effect too. WORD SNAKE Mode - There are 50 fixed words in vocabulary in our code. - Jev checks whether consequent words are correct or not - Want m

Jev join the race 🔥 Jev read the top 250 Hacker News stories 250 stories 2000 typed judgments in 16 seconds cost: $0.0095 about AI 32% Negative Tone: 41 ( 16% ) Built with Jev by @typesafeai https://t.co/RY3GiLTks9

Jev can tell if your resume is good enough for a job. I added a simple resume scorer using Jev by @typesafeai 1. You give your resume (Doesn't get saved) 2. PDF to Markdown conversion 3. Jev, does the analysis, across on 5 Dimensions 4. Your resume score Jev is quite fast btw. but he is very reasonable, so if the score is low, it is what it is.

#jev #typesafe #flutter #mobile #test Using Jev from https://t.co/wVCGdOU10g, I created a flutter package that allows you to write integration tests for Flutter apps using natural language. https://t.co/hG0mtW2FGp https://t.co/OkXWEkObbJ

Episode 285: Bendcoder We build an experimental coding agent from scratch using Jev from @typesafeai and new programming language Bend2 from @VictorTaelin. ...while playing WoW Forever on CoderOS; demoing the CoderOS GPU-accelerated multiplex panes and hand tracking (goodbye Hyprland, hello Jarvis); and introducing CoderQuest, a forthcoming game for commanding and upgrading coding agents with real-world prizes. Meanwhile in Azeroth, Eetum arrives in Thunder Bluff and purchases a guild charter. Bendcoder repo: https://t.co/UjtjgTEAZS

We did a test using Jev 1.13.0 on official LoCoMo data benchmark. Jev makes AtMem better at putting the right memory first, but it does not yet help AtMem find memories it missed entirely. The significant increase is on how often the correct memory was the very first result. Improved from 33.99% to 54.23% AtMem used about 1,593,522 token and costed about $0.0583 Jev remains as option in the next releases since AtMem Position is local first. We continue to explore more use cases for Jev

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.

Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.

Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.

Jev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made.

Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev.

Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into Compozy.

MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.

Route HTTP requests by meaning. A semantic router for Hono powered by Jev.

Full-stack agent harness with memories, long-running tasks, multi-agent relay, and a Jev-backed model-routing table.

Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.

Bounded TypeSafe Jev workflows for coding agents.

Per-turn model & reasoning routing for Codex, driven by Jev (TypeSafe System One): picks the model, thinking depth and speed mode for every turn.

TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers.

Guardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags slop.

A lightweight Jev-powered router for models, tools, and subagents.

Proof of concept MCP for Typesafe's new Jev AI model.

Route to the cheapest model in claude code for your task using jev-router.

Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.

Software Factory Foreman: an agent supervisor that uses Jev decisions to keep coding agents on task.

Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.

A staged code-review workflow and local dashboard built with TypeSafe Jev.

Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.

Jev adapter to Mellea.

Скилл для агентов Letta: суждения по критериям через TypeSafe System One (Jev).

Home Assistant Assist conversation agent powered by TypeSafe's Jev (System One) model.

Pydantic AI capabilities made stronger with Jev: small runnable demos, one file each.

Unofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes.

LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge.

Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.

Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler.

TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards.

Home Assistant integration for TypeSafe Jev. Ask a question about your house and get a probability, a choice or a score as an entity.

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships.