Idẹ Ojú-ìbáṣepọ̀ · 2026
Collabagents Pẹpẹ Ìfọwọ́sowọ́pọ̀ Aṣojú-Púpọ̀
- Àmì-ẹ̀yẹ Idẹ A' Design Award 2026 in Ojú-ìbáṣepọ̀
- CLIENT: CollabAgents
- Estimated Number of Design Views: 9,696
- Verification code 67EFCAD261 · Verify this award
Colors
About Collabagents Pẹpẹ Ìfọwọ́sowọ́pọ̀ Aṣojú-Púpọ̀
CollabAgents jẹ́ pẹpẹ ìfọwọ́sowọ́pọ̀ aṣojú-púpọ̀ tí a ṣe àgbékalẹ̀ fún àwọn ìlànà iṣẹ́ tó díjú. Àwọn olùmúlò máa ń dá ìlànà iṣẹ́ sílẹ̀, wọ́n sì máa ń yan ipa fún àwọn ènìyàn tó kópa nínú rẹ̀. Nígbà tí ipa kan bá ṣàìsí, aṣojú ọgbọ́n atọwọ́dá (artificial intelligence) yóò gba ipa náà kí iṣẹ́ náà lè máa tẹ̀síwájú. A ṣètò iṣẹ́ gẹ́gẹ́ bí àwọn ojú-ìpàdé (nodes) tí ó so pọ̀, àtúnṣe sí ojú-ìpàdé kan sì máa ń ṣe àtúnṣe àwọn ìgbésẹ̀ tó tẹ̀lé e. A máa ń lo ìbánisọ̀rọ̀ tí ó ní ìlànà, tí ó dá lórí kóòdù, láti gbé ìsọfúnni kalẹ̀ pẹ̀lú pípé àti láti dín àìdánilójú kù. CollabAgents máa ń sọ àwọn ìlànà iṣẹ́ onílà-tààrà di àwọn ètò aṣàmúbáradà tí ó máa ń dáhùn sí ìyípadà.
About the Àmì-ẹ̀yẹ Idẹ A' Design Award
Collabagents Pẹpẹ Ìfọwọ́sowọ́pọ̀ Aṣojú-Púpọ̀ jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Collabagents Pẹpẹ Ìfọwọ́sowọ́pọ̀ Aṣojú-Púpọ̀ yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Collabagents Pẹpẹ Ìfọwọ́sowọ́pọ̀ Aṣojú-Púpọ̀ ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.
Press Kit
- Unique Properties
- 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.
- Dimensions & Packaging
- 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.
- Tags
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
- Production Technology
- 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.
- Design Challenge
- 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. - Research
- 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. - Inspiration
- 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.
- Project Duration
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- Operation Flow
- 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. - Patents
- No patents or trademarks are registered for this project.
- Image Credits
- 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.
