# interactive data visualizations

Data visualizations produced by AI agents usually stop at a static image, so readers who want to zoom into detail, compare across charts, or link a chart selection to nearby text must fall back on low-level code and repeated debugging. Flint-interactive adds an interaction language on top of Flint, letting users or agents describe behavior with high-level semantic events and update operators while Flint's compiler turns clicks, drags and key presses into semantic events that identify chart elements and data, then into canvas updates. Separating interaction logic from visual logic also lets the same model connect charts to tables, text, other charts and widgets for dashboards and data stories.

Data visualizations produced by AI agents usually stop at a static image, so readers who want to zoom into detail, compare across charts, or link a chart selection to nearby text must fall back on low-level code and repeated debugging. Flint-interactive adds an interaction language on top of Flint, letting users or agents describe behavior with high-level semantic events and update operators while Flint's compiler turns clicks, drags and key presses into semantic events that identify chart elements and data, then into canvas updates. Separating interaction logic from visual logic also lets the same model connect charts to tables, text, other charts and widgets for dashboards and data stories.