OODA AI uses Jev as classifier to run a full Computer Use flight search in 7.1 seconds
OODA AI runs a full Computer Use Google Flight search in OpenClaw in 7.1 seconds using Sol as primary model, Luna as light model and Jev as classifier, and says this cuts context use by 50%.
OODA AI + OpenClaw + VM + Jev = 7,1 sec for a Google Flight Search with Agents running full Computer Use. Uses Sol as primary Model, Luna as Light Model and Jev as classifier. But pick your flavor! We also have Laya and Von and any of our over 80+ AI models wrapped in an /v1/systemone endpoint. OODA AI is an All-in-One AI platform with over +150 AI models across Text, Image, Video, Audio, Avatars. Check the comment for a short video of how we use Jev and System1 models to decrease 50% context use, increase speed on Agent decisions in OpenClaw, handle better intent and tool decisions, Guardrails and Document Classifications. Give us feedback! Try on http://ooda.ai