arXiv:2606.30294v1 Announce Type: new Abstract: Live product demonstrations are a recurring, high-cost activity in software organizations: a human presenter must select features, dispatch the corresponding interactions on a running application, narrate them coherently, and answer questions in real time. Existing automation addresses only fragments -- generalist browser agents target instruction-conditioned task completion, and demo-video tools produce fixed MP4 artifacts that cannot be questioned and silently break under interface drift. We propose Rhetor, a multi-agent system that takes a run
Advances in multi-agent systems and real-time natural language processing are enabling more sophisticated automation of complex white-collar tasks.
This development indicates a significant step towards fully autonomous agents capable of performing high-value, interactive business functions, impacting productivity and labor markets.
Software demonstrations, a labor-intensive and costly activity, can now be largely automated and personalized, reducing reliance on human presenters and offering dynamic, interactive experiences.
- · AI software developers
- · Software companies
- · Sales and marketing tech
- · Businesses seeking efficiency
- · Human demo presenters
- · Traditional sales teams
- · Fixed content creation tools
Automated product demonstrations will become more common, leading to significant cost savings for software organizations.
The ability to generate real-time, interactive content for sales and support will accelerate market adoption and customer satisfaction.
This could lead to a broader expectation for AI-driven, real-time interaction in many customer-facing business processes, further collapsing white-collar workflows.
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Read at arXiv cs.AI