Researchers have developed Rhetor, a multi-agent system designed to automate live product demonstrations. This system takes a running web application and its source code as input to generate a rehearsed demonstration with synchronized narration and real-time voice question answering. Rhetor's architecture includes a cross-modal feature representation, a grounded scripter, and a pre-presentation rehearsal loop to ensure smooth execution and graceful degradation. The system has been tested on four deployed applications, including Excalidraw, demonstrating a high locator-firing rate and convergence to full functionality. AI
IMPACT Automates a costly software development process, potentially freeing up human resources for more complex tasks.
RANK_REASON The cluster contains a research paper detailing a novel AI system.
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