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Learn how to build a multi-agent system for themed data visualizations, turning prompts and datasets into styled, theme-aware charts through a reliable, multi-step pipeline.
I built Vizey, a generative AI data visualization engine that turns natural language prompts + datasets into styled, theme-aware charts.
The system takes a user’s dataset and prompt (e.g., “cyberpunk bar chart” or “Batman noir treemap”) and generates a visualization that encodes both the data and the aesthetic intent. Under the hood, it uses a multi-agent pipeline to translate prompt → query → data transformation → visualization spec → rendered chart in real time.
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