Jev Ultrafast: The Sub-10-Second Web Agent Architecture

说明与用途

Jev Ultrafast 用DOM快照替代像素输入，并在单个请求中预测操作，将任务执行时间降至7秒，降低令牌成本。

问题

Autonomous web agents suffer from excessive latency and high token costs when using vision-based browsing, making real‑world web tasks slow and expensive.

结果

Jev Ultrafast reduces task execution time to sub‑10 s, cuts token usage, and lowers browser protocol calls by ~90 % compared to vision‑first agents.

工作流

• Take atomic DOM snapshot of visible controls
• Generate element table
• Send single LLM request for operation and speculative targets
• If operation is TYPE_TEXT, invoke lightweight LLM for text
• Validate target node visibility and freshness
• Execute browser action

证据

Autonomous web agents represent one of the most promising frontiers of modern artificial intelligence. However, developers who have deployed browser agents in production quickly encounter a severe constraint: excessive latency and prohibitive token costs.

来源

By substituting raw pixel analysis with structured DOM snapshots, speculative multi-head decisions, and decoupled text generation, Jev executes complex web tasks—such as finding flights on Google Flights—in 7.1 seconds.

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Google Flights (Zürich to London): Complete task execution in 7.07 seconds (including goal parsing, airport selection, date configuration, and flight list verification).

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Chrome DevTools Protocol calls plummeted from 1,092 down to 101— a 90.7% decrease in browser traffic.

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