OmegaUse-SOP: SOP Engineering for Professional Computer Use from Human Demonstrations
On the map: LLM agents and tool use → GUI and mobile agents
Abstract (arXiv)
Large language models (LLMs) are increasingly evolving from conversational assistants into agents capable of operating external digital environments. Graphical user interface (GUI) agents play an important role in this transition, as many real-world workflows remain accessible only through user-facing software interfaces. However, despite recent progress on general computer-use benchmarks, domain-specific professional standard operating procedures (SOPs) remain challenging for GUI agents because they often involve implicit domain knowledge, software-specific conventions, and task-level verification requirements. We introduce OmegaUse-SOP, a human-in-the-loop SOP Engineering system for transforming human demonstrations of professional computer use into reusable SOP skills for GUI agents. Analogous to prompt engineering, SOP Engineering iteratively refines demonstrations, execution rules, and domain knowledge to convert professional SOPs into reusable GUI-agent skills. OmegaUse-SOP consists of four modules: Observe, Reason, Configure, and Execute. Together, these modules record expert operations as multimodal GUI traces, abstract low-level events into semantic step-level instructions, incorporate domain rules and task-specific parameters, and execute the resulting skills in live GUI environments through step-wise grounding, action generation, and verification. To demonstrate its effectiveness, we collaborate with a power-sector client and test OmegaUse-SOP on photovoltaic simulation workflows in PVsyst 7.2. The results suggest that OmegaUse-SOP can improve GUI-agent reliability on professional SOP tasks, highlighting a practical path toward deploying GUI agents in domain-specific professional software environments.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in GUI and mobile agents, one of 16 directions in LLM agents and tool use. Builds on 7 of its 10 references that are in the map. First posted on arXiv 2 Sep 2026.
Builds on
7 of 10 references.
Closest ancestors · 5
Same direction, newest first
- 2026Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional Fields9 Jun
- 2026Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents15 Feb
- 2026OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution28 Jan
- 2025Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents1 Apr
- 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments11 Apr
Other references · 2
Built on by
Citing papers per year: 2026: 1.
1 paper.
Similar, not cited
Close in wording, no citation either way
- 2025SOP-Bench: Complex Industrial SOPs for Evaluating LLM Agents
- 2025SOPBench: Evaluating Language Agents at Following Standard Operating Procedures and Constraints
- 2024GUI Agents with Foundation Models: A Comprehensive Survey
- 2025A Survey on (M)LLM-Based GUI Agents
- 2025From Imperative to Declarative: Towards LLM-friendly OS Interfaces for Boosted Computer-Use Agents
- 2025SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures
- 2024Large Language Model-Brained GUI Agents: A Survey
- 2026ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm