Moralo oa Collabagents Sethala sa Tšebelisano-'moho sa Baemeli ba Bangata ka Jiahui Yu and Xudong Xing ke mohlodi oa khau e hlomphehang haholo ya 2026 Moputso oa Boronse oa A' Design Award Mokhahleong oa Tlhodisano oa Moralo wa Sebopeho, Tshebedisano le Boiphihlelo ba Mosebedisi.
BoronseSebopeho· 2026
Collabagents Sethala sa Tšebelisano-'moho sa Baemeli ba Bangata
Moreki: CollabAgents
Mohlodi oa Moputso oa Boronse oa A' Design Award Mokhahleong oa Sebopeho
Mohlodi oa Khau ea Netefaditsweng
Netefatsa Boemo ba Khau bakeng sa #183243Moralo
Mabapi le Collabagents Sethala sa Tšebelisano-'moho sa Baemeli ba Bangata
CollabAgents ke sethala sa tšebelisano-'moho sa baemeli ba bangata se etselitsoeng mekhoa ea tšebetso e rarahaneng. Basebelisi ba theha mokhoa oa tšebetso 'me ba abela batho ba amehang likarolo. Ha karolo e le sieo, moemeli oa bohlale ba maiketsetso o nka karolo eo e le hore ts'ebetso e tsoele pele. Mosebetsi o hlophisitsoe e le li-node tse hokahaneng, 'me ho fetola node e le 'ngoe ho ntlafatsa mehato e latelang. Puisano e hlophisitsoeng, e thehiloeng ho khoutu, e sebelisoa ho fetisa tlhahisoleseding ka nepo le ho fokotsa ho se hlake. CollabAgents e fetola mekhoa ea tšebetso e otlolohileng hore e be mekhoa e ikamahanyang le maemo e arabelang liphetohong.
Kamohelo
Mabapi le Moputso oa Boronse oa A' Design Award
Collabagents Sethala sa Tšebelisano-'moho sa Baemeli ba Bangata ke mohapi oa Moputso oa Boronse oa A' Design Award, kananelo e hlomphehang haholo e fuoang meralo e ikhethang e tsejoang ka boqapi, bohlale ba ho qapa le bohlale. Bahapi ba Boronse ke lintho tse nang le bokhoni ka ho felletseng le boqapi bo hlollang tse tiisang boiphihlelo bo bongata, mohopolo le bokhoni ba ho iphumana ba baqapi ba tsona. Collabagents Sethala sa Tšebelisano-'moho sa Baemeli ba Bangata e lebelletsoe ho ba ntho e hlomphuoang haholo, e ratoang le e ratehang, e nang le boprofeshenale bo bonahalang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Boronse oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa bonong, mahlaleng, moralong le theknolojing mme o hlahella ka ho tsepamisa maikutlo lintlheng tse nyenyane. Collabagents Sethala sa Tšebelisano-'moho sa Baemeli ba Bangata e kutloisisa litlhoko hantle, e ama litakatso, e hapa maikutlo mme e tsosa takatso ea ho tseba.
Ka Mora Moralo
Sete ya Boraditaba
Litlhaku, ditho tsa sehlopha le lintlha tsa botekgeniki tse fanoeng ke moetsi wa moralo.
- Boleng bo Ikhethang
- 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.
- Boholo le Phuthelo
- 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.
- Lithegi
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
- Theknoloji ya Tlhahiso
- 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.
- Phephetso ya Moralo
- 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. - Dipatlisiso
- 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. - Kgothaletso
- 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.
- Nako ya Projeke
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- Tsamaiso ya Mosebetsi
- 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. - Diphatente
- No patents or trademarks are registered for this project.
- Litho tsa Sehlopha
- Jiahui Yu
Xudong Xing - Litlotla tsa Setshwantsho
- 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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