ዲዛይን Collabagents መድረኽ ምትሕብባር ብዙሓት ወኪላት ብ Jiahui Yu and Xudong Xing ኣብ ናይ ውድድር ምድብ ንድፊ ኢንተርፌስ፣ ምትእስሳርን ተመኲሮ ተጠቃምን ኣዝዩ ዝኸበረ ተሸላማይ ናይ 2026 ናይ ነሓስ ሽልማት A' Design Award እዩ።
ነሓስኢንተርፌስ· 2026
Collabagents መድረኽ ምትሕብባር ብዙሓት ወኪላት
ዓሚል: CollabAgents
ኣብ ምድብ ኢንተርፌስ ተሸላማይ ናይ ነሓስ ሽልማት A' Design Award
ዝተረጋገጸ ተሸላማይ
ንቁጽሪ #183243 ሽልማት ኣረጋግጽእቲ ዲዛይን
ብዛዕባ Collabagents መድረኽ ምትሕብባር ብዙሓት ወኪላት
ኮላብኤጀንትስ (CollabAgents) ንዝተሓላለኹ ናይ ስራሕ መስርሓት ዝተነድፈ መድረኽ ምትሕብባር ብዙሓት ወኪላት እዩ። ተጠቀምቲ ናይ ስራሕ መስርሕ ይፈጥሩ እሞ ንዝሳተፉ ሰባት ግደታት ይምድቡ። ሓደ ግደ ምስ ዝጎድል፡ ወኪል ስነ-ሰብ ብልሒ ነቲ ግደ ይወስዶ እሞ እቲ መስርሕ ይቕጽል። ስራሕ ከም ዝተኣሳሰሩ ኖዳት ኮይኑ ይውደብ፡ ሓደ ኖድ ምስ ዝእረም ከኣ እቶም ዝስዕቡ ስጉምትታት ይሕደሱ። ሓበሬታ ብልክዕ ንምስግጋርን ዘይንጹርነት ንምንካይን ዝተዋቕረ፡ ኣብ ኮድ ዝተመርኮሰ ርክብ ይጥቀም። ኮላብኤጀንትስ ንቐጥታዊ ናይ ስራሕ መስርሓት ናብ ለውጢ ዝምልሱ ተለዋወጥቲ ስርዓታት ይቕይሮም።
እቲ ኣፍልጦ
ብዛዕባ ናይ ነሓስ ሽልማት A' Design Award
Collabagents መድረኽ ምትሕብባር ብዙሓት ወኪላት ናይ ነሓስ ሽልማት A' Design Award ዝዓወተ እዩ፣ ብፈጠራ፣ ርእሰ ሓይልን ስቕታን ዝፍለዩ ብልጫ ዘለዎም ዲዛይናት ዝወሃብ ኣዚዩ ክቡር ኣፍልጦ። ዘዓወቱ ነሓስ ሰፊሕ ተሞክሮ፣ ምሕሳብን ርእሰ ምምዕባልን ዲዛይነራቶም ዘረጋግጹ ኣዚዮም ክኢላታትን ብዘደንቕ መገዲ ፈጠራውያንን ኣርቴፋክትታት እዮም። Collabagents መድረኽ ምትሕብባር ብዙሓት ወኪላት ብዙሕ ዝተመነየ፣ ዝደነቐን ዝፈተዎን ብኣገዳሲ መገዲ ሞያውን ሓድሽን ኣቕሓ ክኾን ይጽበ። እዚ ዝዓወተ ዲዛይን ናይ ነሓስ ሽልማት A' Design Award ኣብ ጥበብ፣ ሳይንስ፣ ዲዛይንን ቴክኖሎጂን ዝበለጹ ልምድታት ዘጣምር፣ ንዝርዝር ብዝህቦ ኣቓልቦ ድማ ዝበለጸ እዩ። Collabagents መድረኽ ምትሕብባር ብዙሓት ወኪላት ድልየታት ብጽባቐ የማልእ፣ ንድሌታት ይትንክፍ፣ ንስምዒታት የማርኽን ሕቶ ድማ የሰሕብን።
ድሕሪ እቲ ዲዛይን
ናይ ፕረስ ኪት
ክረዲትታት፣ ኣባላት ጋንታን ቴክኒካዊ ዝርዝራትን ብዲዛይነር ዝቐረቡ።
- ፍሉያት ባህርያት
- 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.
- ዓቐንን ማዕሸግን
- 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.
- መለለዪታት
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
- ናይ ምፍራይ ቴክኖሎጂ
- 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.
- ናይ ዲዛይን ብድሆ
- 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. - ምርምር
- 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. - ምንጪ ሓሳብ
- 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.
- ናይ ፕሮጀክት ግዜ
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- ናይ ስርሒት ፍሰት
- 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. - ፓተንታት
- No patents or trademarks are registered for this project.
- ኣባላት ጋንታ
- Jiahui Yu
Xudong Xing - ናይ ስእሊ ክረዲት
- 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.
ስፖንሰር ዝተገብረ
ልዕሊ Designers.org ዳህሰስ
ካብ ናይ ማስታወቂያ መሻርኽትና ፍርያት፣ ኣገልግሎታትን ዕድላትን ፍለጥ።
ተወሳኺ ንምርካብ
ተዛመድቲ ዲዛይናት
ካብ ተመሳሳሊ ምድብ ብብቕዓት ዝተመረጹ ተወሳኺ ሽልማት ዝተዓወቱ ዲዛይናት ድለዩ።
