让非专家用自然语言+多智能体协作设计AI服务，无需编码
AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
- 用多智能体分解模糊指令，自动生成模块化流程
- 32人实验表明能显著提升非专家设计效率与直观性
- 适合无编程基础者快速构建AI应用，降低使用门槛
尽管已有诸多AI设计工具，非专家在清晰表达意图和管理系统复杂性方面仍面临挑战。我们提出AIAP，一个结合自然语言输入与可视化工作流的无代码平台。AIAP通过协调式多智能体系统，将模糊的用户指令分解为模块化、可执行的步骤，并隐藏于统一界面之下。一项包含32名参与者的用户研究显示，AIAP的AI生成建议、模块化工作流以及自动识别数据、操作和上下文功能，显著提升了参与者直观构建服务的能力。结果表明，基于自然语言的可视化编程能有效降低使用门槛，改善用户体验。
原文摘要 · Abstract (English)
While many tools are available for designing AI, non-experts still face challenges in clearly expressing their intent and managing system complexity. We introduce AIAP, a no-code platform that integrates natural language input with visual workflows. AIAP leverages a coordinated multi-agent system to decompose ambiguous user instructions into modular, actionable steps, hidden from users behind a unified interface. A user study involving 32 participants showed that AIAP's AI-generated suggestions, modular workflows, and automatic identification of data, actions, and context significantly improved participants' ability to develop services intuitively. These findings highlight that natural language-based visual programming significantly reduces barriers and enhances user experience in AI service design.
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