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• LAVES is a hierarchical LLM-based multi-agent system designed for generating high-quality instructional videos from educational problems.method 70%
• LAVES decomposes the video generation workflow into specialized agents coordinated by a central Orchestrating Agent with explicit quality gates and iterative critique mechanisms.method 70%
• LAVES includes a Solution Agent for rigorous problem solving, an Illustration Agent for producing executable visualization codes, and a Narration Agent for learner-oriented instructional scripts.method 70%
• LAVES constructs a structured executable video script that is deterministically compiled into synchronized visuals and narration using template-driven assembly rules, enabling fully automated end-to-end production without manual editing.method 70%
• LAVES achieves a throughput exceeding one million videos per day in large-scale deployments.result 70%
• LAVES delivers over a 95% reduction in cost compared to current industry-standard approaches.result 70%
• The system may struggle with subjects requiring high levels of creative or interpretive content.limitation 70%
• LAVES can be productized into an API or service platform for schools or educational content creators.market 70%

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