AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration

Hyunjn An, Yongwon Kim, Wonduk Seo, Joonil Park, Daye Kang +3 more
8/4/2025
cs.HCcs.AIcs.CL

No confident code implementation found for this paper.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language

82% match1 repo392026

Feasibility of AI-Assisted Programming for End-User Development

81% match2025

AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems

80% match1 repo59.9k2024

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization

80% match1 repo22026

Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations

79% match2024

Agent-Oriented Visual Programming for the Web of Things

79% match2025

Cite this paper

@article{an2025aiap,
  title  = {AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration},
  author = {Hyunjn An and Yongwon Kim and Wonduk Seo and Joonil Park and Daye Kang and Changhoon Oh and Dokyun Kim and Seunghyun Lee},
  year   = {2025},
  eprint = {2508.02470},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.02470v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2508.02470.svg)](https://codeofpaper.com/paper/2508.02470)

Discussion