JEV Ultrafast Agent - 2026 Pricing, Features, Reviews & Alternatives

JEV Ultrafast Agent is a browser extension for Chrome and Edge 116+ that automates web page interactions, including form filling, clicking, option selection, and multi-page navigation, using a language model selected and configured by the user. Rather than processing screenshots, the agent reads each page as a numbered list of interactive elements and visible text, then issues one typed action decision per step. Supported operations are CLICK, TYPE_TEXT, SELECT, SCROLL, WAIT, DONE, and BLOCKED. Each step corresponds to exactly one model call, keeping inference costs predictable and low. No Python runtime, local server, or external tooling is required; all settings and API keys are stored locally in the browser via chrome.storage.local and transmitted only to the user's chosen endpoint.

JEV Ultrafast Agent supports a broad range of model backends: Anthropic Claude via the Messages API with structured outputs, any OpenAI-compatible API endpoint (including OpenAI, OpenRouter, Groq, and DeepSeek), local models served through Ollama, LM Studio, or any OpenAI-compatible local server (no API key required), and TypeSafe Jev (System One), a typed-decision protocol that returns calibrated confidence probabilities. The side panel UI provides a task goal input, an optional start URL, a live step log displaying the operation, targeted element, confidence probability, model response time, and a page-change flag, as well as numbered element badges overlaid directly on the page. Configurable parameters include step budget, inter-step delay, and a trusted input events mode via CDP.

DOM accuracy is maintained by re-observing the page if it changes between steps, so actions always target the exact DOM node the model observed rather than stale state. Privacy is enforced by design: no analytics or telemetry are collected, no backend account is required, and password fields, file inputs, and hidden fields are never read or transmitted. JEV Ultrafast Agent is suited to individual users and developers who need flexible, model-agnostic browser automation without infrastructure overhead.