[2603.25063] TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization

Computer Science > Human-Computer Interaction arXiv:2603.25063 (cs) [Submitted on 26 Mar 2026] Title:TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization Authors:Nathaniel Gorski, Shusen Liu, Bei Wang View a PDF of the paper titled TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization, by Nathaniel Gorski and 2 other authors View PDF HTML (experimental) Abstract:Recent agentic systems demonstrate that large language models can generate scientific visualizations from natural language. However, reliability remains a major limitation: systems may execute invalid operations, introduce subtle but consequential errors, or fail to request missing information when inputs are underspecified. These issues are amplified in real-world workflows, which often exceed the complexity of standard benchmarks. Ensuring reliability in autonomous visualization pipelines therefore remains an open challenge. We present TopoPilot, a reliable and extensible agentic framework for automating complex scientific visualization workflows. TopoPilot incorporates systematic guardrails and verification mechanisms to ensure reliable operation. While we focus on topological data analysis and visualization as a primary use case, the framework is designed to generalize across visualization domains. TopoPilot adopts a reliability-centered two-agent architecture. An orchestrator agent translates user prompts into wo...