Jev Automation Demos

Completing a Google Flights search in 7.1 seconds with 10 model calls and 5.6× fewer tokens

Completing five official browser actions and a DONE decision locally on one RTX 5090 in 10.375 seconds

Comparing local Laya and API-hosted Jev on the same movie search, returning equal results in 392 and 676 ms

Updating a clothing collection live as the user types an occasion and desired context

Mapping an entire application and rendering the possible typed-decision use cases for each area

Navigating automated phone systems while handling the edge cases found during repeated calls

Combining a browser agent with typed decisions to complete job-portal applications two to three times faster

Detecting desktop gestures in milliseconds and mapping them to actions on the currently selected element

Scoring browser-agent activity logs every three seconds and averaging the results across the session

Driving an open-source browser pilot inside an always-on team with scheduled routines and GitHub, docs, and MCP connectors

Choosing each browser-shopping step in about a tenth of a second and handing payment entry to a secure card vault

Comparing the current YouTube page with a stated goal and reminding the viewer before recommendations trigger distraction

Choosing browser actions for a Google Flights search and completing the task in about seven seconds

Scanning continuously for legal bug bounties, grants, giveaways, open-source rewards, and design challenges, then checking task fit

Navigating seven Wikipedia links from Bookland to Akon City in 5.9 seconds with 214 ms average decisions

Routing prompts through GrokBot for execution after a typed decision, with a setup reported to take seven minutes

Ranking 12 live options on a Mac in a reported 0.18 seconds and stopping before an irreversible action for about $0.0000021

Finding, highlighting and acting on live page elements from natural-language questions in Fynk

Searching every YouTube transcript segment by meaning and jumping to matching moments as the query changes

Planning browser tasks with an LLM, choosing clicks and keystrokes with Jev, and handing off uncertain steps

Scoring a chest-pain call in 500 ms and routing the patient directly to clinical staff

Routing conversations to the agent most likely to answer while ranking moods to update avatar props

Hiding X feed posts unless they match preferred topics, appear genuine and merit a reply

Mapping requests such as do it, bring controls here and show me how onto an app's existing actions and UI