AutoAgent: An Intelligent Autonomous Orchestration System for Natural Language-Driven Digital Workflow Automation

AutoAgent represents a practical step toward closing the execution gap between large language models and real-world digital action. By functioning as an intelligent orchestration layer that plans, executes, and verifies multi-application workflows from natural language instructions, the system reduces context-switching overhead and enhances productivity for modern knowledge workers. The modular architecture—comprising chat interaction, intent reasoning, semantic tool routing, secure code execution, and session management—provides a foundation for extensible, production-ready autonomous agent systems. Future work will expand modality support, collaboration capabilities, and enterprise features while maintaining the core principle of transforming user intent into verified digital outcomes through a unified, natural language interface.

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