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arXiv · 2509.05721

A Composable Agentic System for Automated Visual Data Reporting

Péter Ferenc Gyarmati·Dominik Moritz·Torsten Möller·Laura Koesten
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Abstract

To address the brittleness of monolithic AI agents, our prototype for automated visual data reporting explores a Human-AI Partnership model. Its hybrid, multi-agent architecture strategically externalizes logic from LLMs to deterministic modules, leveraging the rule-based system Draco for principled visualization design. The system delivers a dual-output: an interactive Observable report with Mosaic for reader exploration, and executable Marimo notebooks for deep, analyst-facing traceability. This granular architecture yields a fully automatic yet auditable and steerable system, charting a path toward a more synergistic partnership between human experts and AI. For reproducibility, our implementation and examples are available at https://peter-gy.github.io/VISxGenAI-2025/.

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Péter Ferenc Gyarmati, Dominik Moritz, Torsten Möller, Laura Koesten. 2025-09-06. A Composable Agentic System for Automated Visual Data Reporting. https://arxiv.org/abs/2509.05721

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