Jev in Practice: Browser Use and Agent Workflows

A list of eight working Jev projects, from jev-browser to awesome-jev, covering browser decisions, an OpenAI-compatible bridge and agent skills.

A three-step pipeline where Virlo pulls the outlier posts in a niche, Jev judges which ones actually fit, and Claude writes TikTok and Instagram scripts from the winners.

Applied Compute uses its AC2 platform plus low-cost classifiers like Jev to catch 85% of failure modes across billions of tokens of RL traces, at a fraction of the cost of LLM judges.

A system on Applied Compute's platform uses Jev for automated failure mode clustering, surfacing agent failures such as reward hacking and hallucinations across billions of tokens of RL traces.

A Jev hack and demo night with a dumpling bar takes place in San Francisco on Friday, September 25 at 6:00 PM, inviting developers to build on open-weight Jev.

A demo shows Jev now integrated into Super Compute, where Jev scans a GitHub repository and gives it a score, alongside a contract address.

Treg searches over 60 people-data providers to find matching leads, and Jev then scores candidates against your criteria, returning structured probabilities to decide which leads are worth keeping.

A working note breaks down how to wire up a Jev Harness so frontier models stop burning tokens on typed routing decisions, claiming faster and cheaper coding agents.

The builder splits questions like momentum, sentiment, earnings and options flow into typed decisions for 18 models, and Jev combines the answers into a single conviction score with confidence and estimated signal half-life.

A founder uses Jev with Treg to mass-DM potential customers in search of colleges for his startup SolAcc, bringing the cost per lead down to $0.0089 and making outreach affordable at scale.

The author walks through the Jev docs: move counts, permissions and hard limits into code, leave only judgments to Choice, Score and Noul, and set thresholds by consequence.

Agents call the Jev API every few seconds to make real-time decisions, chopping wood, mining and placing torches to build a beehive in 3 hours, while one agent went on strike to make art instead.