Press Release
Collabagents Multi Agent Platform by Jiahui Yu and Xudong Xing Wins the Bronze A' Design Award in Interface, Interaction and User Experience Design
Jiahui Yu and Xudong Xing acknowledged for interface, interaction and user experience design by the international grand jury of the 2025 - 2026 A' Design Award & Competition
FOR IMMEDIATE RELEASE
COMO, Italy, April 22, 2026 /DesignNewswire/ Collabagents Multi Agent Platform by Jiahui Yu and Xudong Xing, designed for CollabAgents, has been granted the Bronze A' Design Award in the Interface, Interaction and User Experience Design category, A' Design Award & Competition has announced. The result belongs to the 2025 - 2026 A' Design Award & Competition and was determined through blind peer review by an international grand jury panel of established academics, design professionals and press members, who assessed anonymized entries against predetermined criteria.
About the Bronze A' Design Award
The Bronze A' Design Award is given to outstanding designs that showcase a high degree of creativity and practicality. It recognizes the dedication and skill of designers who produce work that stands out for its thoughtful development and innovative use of materials and technology. These designs are acknowledged for their professional execution and potential to influence industry standards positively. Winning this award highlights the designer's ability to blend form and function effectively, offering solutions that enhance people's lives and wellbeing.
About Collabagents Multi Agent Platform
CollabAgents is a multi-agent collaboration platform designed for complex workflows. Users create a workflow and assign roles to the people involved. When a role is missing, an artificial intelligence agent takes that role so the process continues. Work is organized as connected nodes, and editing one node updates the steps that follow. Structured, code-based communication is used to transfer information with precision and reduce ambiguity. CollabAgents turns linear workflows into adaptive systems that respond to change.
About Jiahui Yu and Xudong Xing
Jiahui Yu is a UX designer specializing in complex system and platform design. With experience across multiple industries, she focuses on transforming abstract workflows into structured, scalable, and user-centered solutions, particularly in data-intensive and operational environments. Her work has been recognized with international awards including the Red Dot Design Award and MUSE Design Awards. She actively explores the integration of AI into design systems and collaborative workflows, aiming to improve efficiency while redefining how people interact with complex systems. Her practice bridges technology and human experience through clear, adaptable design solutions.
Award Record
This recognition makes Jiahui Yu and Xudong Xing a winner of 1 A' Design Award.
About the A' Interface, Interaction and User Experience Design Award
The A' Interface Design Award is an international design competition recognizing good user interface designs by the best UI/UX designers worldwide. The competition is organized within the A' Design Award & Competition and is open to interface designers, interaction designers, user experience designers and digital product designers from all countries. Entries typically include websites, mobile applications, software interfaces, game interfaces, wearable interfaces and virtual reality interfaces. Awarded interface designs are published at https://desingers.org/design-category/interface
About A' Design Award & Competition
A' Design Award & Competition is an international, juried design accolade organized annually since 2008. The competition is open to entries from all countries. The A' Design Award has a philanthropic mission to advance society through good design by recognizing and promoting superior products, projects and services that benefit society, and by creating a global awareness and appreciation for good design practices and principles. Entries are peer reviewed and anonymously evaluated by an international grand jury panel of established academics, design professionals and press members against predetermined criteria such as functionality, ergonomics, engineering, presentation, innovation, usability, sustainability and technology, with score normalization applied to remove biases. Awards are conferred at Platinum, Gold, Silver, Bronze and Iron levels. The A' Design Prize granted to eligible laureates includes the award trophy, the certificate of design excellence, the hardcover yearbook, a lifetime license to use the A' Design Award winner logo, exhibition of awarded works, an invitation to the gala night and award ceremony in Italy, inclusion in the World Design Rankings and Designer Rankings, and public relations and publicity services. Registration, the upload of a work and the preliminary score are free of charge, and Professional and Digital Edition laureates are not contractually obliged to pay further fees to claim the A' Design Prize. Further information is available at https://competition.adesignaward.com
Press Resources
- Winner Page: https://desingers.org/183243
- A' Design Award Page: https://competition.adesignaward.com/183243
- Media Showcase: https://www.designnewsroom.com/!183243
- Laureate Profile: https://desingers.org/d/373337
Media Contact
Giulia Ferrari, Press Office
Designers.Org
Via Leone Leoni 32, 22100 Como, Italy
press@designers.org
+39 031 4491953
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Fact Sheet
The Work
- Project
- Collabagents Multi Agent Platform
- Function
- Multi Agent Platform
- Category
- Interface, Interaction and User Experience Design
- Discipline
- Communication Design
- Industry
- Software
- Colors
- Black, Light Gray, Dark Slate Gray, Lavender and Dim Gray
- Images
- 5
- Client
- CollabAgents
The Recognition
- Laureate
- Jiahui Yu and Xudong Xing
- Country
- United States of America
- Recognition
- Bronze A' Design Award
- Edition
- 2025 - 2026
- Design ID
- #183243
Credits
- Team
- Jiahui Yu and Xudong Xing
- Image Credits
- Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Design Details
- Unique Properties
- CollabAgents is a multi-agent collaboration system that simulates missing roles with AI agents to ensure continuous workflows. Node-level editing enables targeted updates, reducing rework by over 85%, while code-based communication improves precision and speed. It transforms linear workflows into adaptive, resilient systems.
- Inspiration
- CollabAgents is inspired by the complexity of cross-functional collaboration, where delays often result from missing roles and fragmented communication. It explores how AI agents can simulate expertise and fill capability gaps in real time, transforming collaboration into a more adaptive and efficient process.
- Research
- The project is based on research into cross-functional collaboration challenges, including workflow inefficiencies, role dependency, and communication breakdowns. Methods included workflow analysis, scenario mapping, and observation of real-world team processes. The research identified key issues such as delays caused by missing roles and the need for more adaptive systems. The design explores how multi-agent systems can simulate roles, improve coordination, and reduce rework, resulting in more efficient and resilient collaboration.
- Challenge
- The main challenge was designing a system that balances automation with user control in complex workflows. Traditional collaboration relies heavily on human coordination, making it difficult to handle missing roles, dynamic changes, and process interruptions. The challenge was to create a system that allows targeted intervention without breaking the overall workflow. This was addressed through node-level editing and role simulation, enabling flexible adjustments while maintaining system stability and continuity.
- Realization and Technology
- CollabAgents is built using AI-driven multi-agent architecture, workflow modeling, and structured data exchange. The system leverages role-based agent simulation, node-level state management, and real-time synchronization to enable adaptive collaboration. Code-based communication ensures precise information transfer and reduces ambiguity across processes.
- Operation and Interaction
- Users start by selecting or creating a workflow and assigning roles. If roles are missing, AI agents automatically step in to continue the process. Users can interact with specific steps, make changes, and instantly see updates applied to the rest of the workflow. Instead of restarting the entire process, only affected parts are adjusted. This enables smoother collaboration, faster decision-making, and reduces delays caused by miscommunication or missing inputs.
- Project Duration and Location
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- Specifications
- The system features a node-based workflow structure, role simulation modules, and dynamic process propagation. It supports real-time updates, modular task execution, and scalable multi-agent coordination. Key capabilities include node-level editing, automatic downstream updates, and role auto-completion to maintain continuous workflow execution.
- Keywords
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
