Collabagents Platform Kolaborasi Multi-Agen oleh Jiahui Yu and Xudong Xing

Karya Collabagents Platform Kolaborasi Multi-Agen oleh Jiahui Yu and Xudong Xing adalah pemenang yang sangat dihormati dari 2026 A' Design Award Perunggu yang sangat bergengsi dalam Kategori Kompetisi Desain Antarmuka, Interaksi dan Pengalaman Pengguna.

PerungguAntarmuka· 2026

Collabagents Platform Kolaborasi Multi-Agen

oleh Jiahui Yu and Xudong Xing

Klien: CollabAgents

Pemenang A' Design Award Perunggu dalam Kategori Antarmuka

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Tentang Collabagents Platform Kolaborasi Multi-Agen

CollabAgents adalah platform kolaborasi multi-agen yang dirancang untuk alur kerja yang kompleks. Pengguna membuat alur kerja dan menetapkan peran kepada orang-orang yang terlibat. Ketika suatu peran kosong, agen kecerdasan buatan mengambil alih peran tersebut sehingga proses tetap berjalan. Pekerjaan diorganisasikan sebagai simpul-simpul yang saling terhubung, dan pengeditan pada satu simpul akan memperbarui langkah-langkah berikutnya. Komunikasi terstruktur berbasis kode digunakan untuk mentransfer informasi dengan presisi dan mengurangi ambiguitas. CollabAgents mengubah alur kerja linear menjadi sistem adaptif yang responsif terhadap perubahan.

Pengakuan

Tentang A' Design Award Perunggu

Collabagents Platform Kolaborasi Multi-Agen adalah pemenang A' Design Award Perunggu, pengakuan yang sangat bergengsi yang diberikan kepada desain luar biasa yang dicirikan oleh kreativitas, kecerdikan, dan ketajaman. Pemenang Perunggu adalah artefak yang sangat terampil dan sangat kreatif yang membuktikan pengalaman luas, imajinasi, dan kelihaian para desainernya. Collabagents Platform Kolaborasi Multi-Agen diharapkan menjadi objek yang sangat dihargai, dikagumi, dan dicintai, sangat profesional dan inovatif. Desain pemenang A' Design Award Perunggu ini menyertakan praktik terbaik dalam seni, sains, desain, dan teknologi, dan sangat baik dalam perhatiannya pada detail. Collabagents Platform Kolaborasi Multi-Agen memuaskan kebutuhan dengan indah, menyentuh keinginan, memikat perasaan, dan menarik rasa ingin tahu.

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Kit Pers

Kredit, anggota tim, dan detail teknis yang disediakan oleh desainer.

Keunikan: 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.
Dimensi & Kemasan: 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.
Tag: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Teknologi Produksi: 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.
Tantangan Desain: 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.
Riset: 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.
Inspirasi: 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.
Durasi Proyek: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Alur Operasi: 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.
Paten: No patents or trademarks are registered for this project.
Anggota Tim: Jiahui Yu
Xudong Xing
Kredit Gambar: Image #1: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #2: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #3: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #4: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #5: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.