Register a large number of motions in DreamCore, enter 'I want to make soccer', the LLM writes out the required motions, and Jev searches for usable ones from the vast motion library. A workflow example combining LLM and Jev.
これが正しいJevの使い方！？ DreaｍCoreのアセットに大量のモーションを登録 ↓ サッカーを作りたいと入力 ↓ LLMがサッカーに必要なモーションを書き出す ↓ 大量のモーションの中からJevが使えそうな物を探す
LLM holds memory/context, uses agent-desktop to take snapshots and sends them to Jev, which selects the right element to act on for faster Computer Use, with Cursor enabled and headless support.
Riley Brown shares that TypeSafe AI's Jev classified 500 emails in seconds for just 3.5 cents, highlighting its fast and low-cost email classification.
A comprehensive explainer video introducing Jev, an AI that doesn't write text but determines which department to route inquiries to and how urgent they are.
