Naqshadda Collabagents Madal Iskaashi oo Wakiillo Badan leh oo uu sameeyey Jiahui Yu and Xudong Xing waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Isdhexgalka, Iskaashiga iyo Waayo-aragnimada Isticmaalaha ee 2026 Abaalmarinta Naxaasta ah ee A' Design Award.
NaxaasIsdhexgal· 2026
Collabagents Madal Iskaashi oo Wakiillo Badan leh
Jiahui Yu and Xudong Xing uu sameeyay
Macmiilka: CollabAgents
Ku Guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award ee Qaybta Isdhexgal
Ku Guuleystaha Abaalmarinta La Xaqiijiyey
Xaqiiji Xaaladda Abaalmarinta #183243Naqshadeynta
Wax ku saabsan Collabagents Madal Iskaashi oo Wakiillo Badan leh
CollabAgents waa madal iskaashi oo wakiillo badan leh oo loogu talagalay socodka shaqo ee adag. Isticmaalayaashu waxay abuuraan socod shaqo waxayna doorar u qoondeeyaan dadka ku lugta leh. Marka door maqan yahay, wakiil sirdoon macmal ah ayaa qaata doorkaas si hawshu u sii socoto. Shaqada waxaa loo habeeyaa sida qanjidho isku xiran, wax ka beddelka hal qanjidhna wuxuu cusboonaysiiyaa tallaabooyinka soo socda. Isgaarsiin habaysan oo ku salaysan kood ayaa loo isticmaalaa si macluumaadka loogu gudbiyo si sax ah, mugdigana loo yareeyo. CollabAgents wuxuu socodka shaqo ee toosan u beddelaa nidaamyo la qabsan kara oo ka jawaaba isbeddelka.
Aqoonsiga
Wax ku saabsan Abaalmarinta Naxaasta ah ee A' Design Award
Collabagents Madal Iskaashi oo Wakiillo Badan leh waa guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award, aqoonsi sharaf sare leh oo la siiyo naqshado aan caadi ahayn oo lagu garto hal-abuur, hal-abuur cusub iyo caqli. Guuleystayaasha Naxaasta waa shaqooyin xirfad buuxda leh iyo hal-abuur yaab leh oo xaqiijiya khibrad weyn, male-awaal iyo kartida naqshadeeyayaashooda. Collabagents Madal Iskaashi oo Wakiillo Badan leh waa walax la filayo inay noqoto mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, xirfad cad leh oo hal-abuur cusub leh. Naqshadahan ku guuleystay Abaalmarinta Naxaasta ah ee A' Design Award wuxuu ku darsadaa hab-dhaqanno ugu wanaagsan farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada wuxuuna ku fiican yahay dhawrista tafaasiisha. Collabagents Madal Iskaashi oo Wakiillo Badan leh si fiican ayay u buuxisaa baahiyaha, taabataa rabitaannada, soo jiidataa dareenka kicinayaanna xiisaha aqoonta.
Gadaasha Naqshadeynta
Xirmada Warbaahinta
Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.
- Sifooyinka Gaarka ah
- 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.
- Cabbirka & Qaabaynta
- 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.
- Summado
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
- Tiknoloojiyada Soo Saarka
- 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.
- Caqabadda Naqshadda
- 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. - Cilmi-baadhis
- 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. - Dhiirrigelinta
- 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.
- Muddada Mashruuca
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- Socodka Hawlgalka
- 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. - Shatiyada
- No patents or trademarks are registered for this project.
- Xubnaha Kooxda
- Jiahui Yu
Xudong Xing - Amaanta Sawirrada
- 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.
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