Jev in Practice: Browser Use and Agent Workflows

kerpopule's hermes-jev-skills uses the Jev decision model to pick models, choose among 377 skills, filter memory and block web injection, saving frontier-model tokens for real thinking.

Drawing on a public Jev evaluation of 346,009 requests across 37 datasets, the author proposes putting Jev before an expensive model to route routine, ambiguous and approval-needed cases.

Combining jevymarket's decision pipeline with Polymarket's SDK lets Jev output probabilities from BTC evidence while code enforces position limits, kill switches and trade logging.

A demo where five autonomous trading agents each keep their own thesis, positions and risk limits, while Jev sits above them to read performance, compare conviction and decide what to review next.

A video flags limits in Grok Bots, OpenAI dots and Jev 1.13, then proposes a chain: agent proposes, code does math, Jev picks from a reordered list, human approves every send.

The author inserts three decision pauses into Claude Code and tests Jev API plus local winnow:e4b on picking test suites: both hit 12/12 bug fixes versus 3/12 for a filename rule.

OmniRail is accepting builder applications, offering one key for text, image, video, voice models plus Jev decisions, per-call crypto payment, and hands-on integration help.

A project lists shipped work: a 12-month smart-money data pipeline, scoring and runner detection across low-cap, mid-cap and perp markets, sandbox agents, and Jev for trading decisions.

The Todoist Comms team is experimenting with the Jev decision model to classify inbox items, which the poster calls a practical and exciting use of AI.

VIBE's auto-trading solution runs on decision model Jev, and its latest upgrade lets users pick which chains Jev may trade when setting up a follow.

A workflow guide: split notes into raw/wiki/output layers, retrieve first, then use Jev for structured decisions instead of sending the whole vault to an expensive model.

Promo post for a Solana trading bot: five scouts scan continuously, Jev filters noise in milliseconds, and Hermes makes a single buy-or-skip call.