Collabagents Platform Kolaborasi Berbilang Ejen oleh Jiahui Yu and Xudong Xing

Reka bentuk Collabagents Platform Kolaborasi Berbilang Ejen oleh Jiahui Yu and Xudong Xing ialah pemenang yang sangat dihormati bagi 2026 A' Design Award Gangsa yang amat berprestij dalam Kategori Pertandingan Reka Bentuk Antara Muka, Interaksi dan Pengalaman Pengguna.

GangsaAntara Muka· 2026

Collabagents Platform Kolaborasi Berbilang Ejen

oleh Jiahui Yu and Xudong Xing

Klien: CollabAgents

Pemenang A' Design Award Gangsa dalam Kategori Antara Muka

9,696

Pemenang Anugerah Yang Disahkan

Sahkan Status Anugerah untuk #183243

Lihat di A' Design Award Siaran Akhbar Lencana Anugerah

Warna

Reka Bentuk

Mengenai Collabagents Platform Kolaborasi Berbilang Ejen

CollabAgents ialah platform kolaborasi berbilang ejen yang direka untuk aliran kerja yang kompleks. Pengguna mencipta aliran kerja dan menetapkan peranan kepada individu yang terlibat. Apabila sesuatu peranan tidak diisi, ejen kecerdasan buatan akan mengambil alih peranan tersebut supaya proses dapat diteruskan. Kerja disusun sebagai nod-nod yang saling berhubung, dan pengeditan pada satu nod akan mengemas kini langkah-langkah yang berikutnya. Komunikasi berstruktur berasaskan kod digunakan untuk memindahkan maklumat dengan tepat dan mengurangkan kekaburan. CollabAgents mengubah aliran kerja linear menjadi sistem adaptif yang responsif terhadap perubahan.

Pengiktirafan

Mengenai A' Design Award Gangsa

Collabagents Platform Kolaborasi Berbilang Ejen ialah pemenang A' Design Award Gangsa, pengiktirafan yang amat berprestij yang dianugerahkan kepada reka bentuk cemerlang yang dicirikan oleh kreativiti, kecerdikan dan ketajaman fikiran. Pemenang Gangsa ialah artifak yang amat mahir dan sangat kreatif yang membuktikan pengalaman luas, imaginasi dan akal budi pereka bentuknya. Collabagents Platform Kolaborasi Berbilang Ejen diharapkan menjadi objek yang sangat dihargai, dikagumi dan disayangi, sangat profesional dan inovatif. Reka bentuk pemenang A' Design Award Gangsa ini merangkumi amalan terbaik dalam seni, sains, reka bentuk dan teknologi, dan cemerlang dalam perhatiannya terhadap butiran. Collabagents Platform Kolaborasi Berbilang Ejen memenuhi keperluan dengan indah, menyentuh keinginan, memikat perasaan dan menarik rasa ingin tahu.

Di Sebalik Reka Bentuk

Kit Akhbar

Kredit, ahli pasukan dan butiran teknikal yang disediakan oleh pereka.

Ciri-Ciri Unik: 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 & Pembungkusan: 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 Pengeluaran: 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.
Cabaran Reka Bentuk: 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.
Penyelidikan: 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.
Tempoh Projek: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Aliran 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.
Ahli Pasukan: Jiahui Yu
Xudong Xing
Kredit Imej: 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.