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

TL;DR

AIAP is a no-code platform that combines natural language and visual workflows, enabling non-experts to design AI services more intuitively through multi-agent collaboration and automatic decomposition of instructions.

Contribution

Introduces AIAP, a novel no-code system that uses natural language and multi-agent collaboration to simplify AI service creation for non-experts.

Findings

Participants found AIAP's suggestions helpful.

Workflow decomposition improved usability.

Automatic context identification enhanced efficiency.

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.