Web

Steward: Natural Language Web Automation

ArXiv Preprint

Brian Tang, Kang G. Shin

An LLM-powered web automation tool for scalable and efficient website interaction. We introduced Steward, an end-to-end system that interprets natural language instructions to navigate websites, automate tasks, and simulate user behavior without manual coding. I developed the system, focusing on improving execution speed, success rates, and cost efficiency. Our findings demonstrated that Steward enables more flexible and scalable web automation compared to traditional frameworks.

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