Rehearsed Multi-Agent Live Product Demonstrations with Real-Time Voice Question Answering
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 running web application and its source-code reposit
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via unknownAgentTrace →
- LinkedLinked via unknownamplitudesoldierheed/AI-Voice-Changer-Real-Time-Desktop →
- LinkedLinked via unknownmrreviewai/ai-tools-for-content-creators →
- LinkedLinked via unknownCrazyDashTool/Local-Agent-Studio →
- FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “Rehearsed Multi-Agent Live Product Demonstrations with Real-” ≈ “AgentCore-8B””
- LinkedLinked via unknownBuild generative UI for AI agents on Amazon Bedrock AgentCore with the AG-UI protocol →
- LinkedLinked via unknownLooking for open-source AI meeting note-takers (like Fathom, Fireflies, Notion AI) →
- PossiblePossibly related (embedding) · 54%rafaelmateo123/Arena-of-Autonomous-Threads →
