دیزاینی Collabagents Platformа Hevkariyê ya Pir-Agent لەلایەن Jiahui Yu and Xudong Xing خەڵاتگرێکی بەناوبانگی خەڵاتی شکۆمەندی 2026 Xelata A' Design Award a Tuncîn لە پۆلی پێشبڕکێی Dîzayna Navber, Danûstendin û Ezmûna Bikarhêner.
TuncNavber· 2026
Collabagents Platformа Hevkariyê ya Pir-Agent
لەلایەن Jiahui Yu and Xudong Xing
کڕیار: CollabAgents
خەڵاتگری Xelata A' Design Award a Tuncîn لە پۆلی Navber
خەڵاتگری پشتڕاستکراو
پشتڕاستکردنەوەی باری خەڵات بۆ #183243دیزاینەکە
دەربارەی Collabagents Platformа Hevkariyê ya Pir-Agent
CollabAgents platformeke hevkariyê ya pir-agent e ku ji bo pêvajoyên kar ên tevlihev hatiye sêwirandin. Bikarhêner pêvajoyeke kar diafirînin û rolan didin kesên têkildar. Dema roleke kêm be, agenteke zîrekiya çêkirî wê rolê digire da ku pêvajo bidome. Kar wekî girêkên bi hev ve girêdayî tê rêxistinkirin, û guhertina girêkekê gavên piştî wê nûve dike. Danûstandina birêkûpêk û li ser bingeha kodê tê bikaranîn da ku agahdarî bi rastbûn were veguhastin û nezelalî kêm bibe. CollabAgents pêvajoyên kar ên rêzikî vediguherîne pergalên adapteyî yên ku bersivê didin guhertinê.
پێناسەکردن
دەربارەی Xelata A' Design Award a Tuncîn
Collabagents Platformа Hevkariyê ya Pir-Agent xelatgirê Xelata A' Design Award a Tuncîn e, nasîneke pir bi prestîj ku ji sêwiranên berbiçav ên bi afirînerî, jêhatîbûn û zîrekiyê têne cudakirin re tê dayîn. Xelatgirên Tuncînê karên bi têra xwe jêhatî û bi awayekî balkêş afirîner in, yên ku ezmûna fireh, xeyal û çareserkirina sêwiranerên xwe piştrast dikin. Tê hêvîkirin ku Collabagents Platformа Hevkariyê ya Pir-Agent tiştekî pir hatiye rêzgirtin, sitayişkirin û delal be, bi awayekî berbiçav pîşekar û nûjen. Ev sêwirana bi Tuncînê serketî pratîkên çêtirîn ên huner, zanist, sêwiran û teknolojiyê digire nav xwe û ji bo baldariya li hûrgiliyan hêja ye. Collabagents Platformа Hevkariyê ya Pir-Agent pêdiviyan bi rengekî xweş tîne cih, destê xwe dide daxwazan, hestan dihejîne û meraqê dikişîne.
لە پشت دیزاینەوە
کیتی چاپەمەنی
باوەڕپێکراوەکان، ئەندامانی تیم و وردەکاری تەکنیکی کە لەلایەن دیزاینەرەوە پێشکەش کراون.
- تایبەتمەندییە تایبەتەکان
- 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.
- قەبارە و پاکێج
- 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.
- تاگەکان
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
- تەکنەلۆژیای بەرهەمهێنان
- 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.
- هەڵەنگاندنی دیزاین
- 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. - توێژینەوە
- 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. - ئیلهام
- 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.
- ماوەی پڕۆژە
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- ڕێڕەوی کارکردن
- 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. - پەتێنتەکان
- No patents or trademarks are registered for this project.
- ئەندامانی تیم
- Jiahui Yu
Xudong Xing - کرێدیتی وێنەکان
- 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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