Collabagents Miec-Tepoztlacatl Cepantequitiliztli Tlanechicolli ītēchcopa Jiahui Yu and Xudong Xing

Tlanāhuatīlli Collabagents Miec-Tepoztlacatl Cepantequitiliztli Tlanechicolli ītēchcopa Jiahui Yu and Xudong Xing cē cencā mahuizzō tēmacēhualōni īpan huēyi 2026 Mahuizolli A' Design Award Bronse īpan Tlaixnamiquiliztli, Nenonotzaliztli ihuan Tlatequipanoliznemiliztli Tlachihchihualiztli Nēhuilīztli Tlamantli.

BronseTlaixnamiquiliztli· 2026

Collabagents Miec-Tepoztlacatl Cepantequitiliztli Tlanechicolli

īpal Jiahui Yu and Xudong Xing

Tlanāhuatīlli: CollabAgents

Mahuizolli A' Design Award Bronse Tēmacēhualōni īpan Tlaixnamiquiliztli Tlamantli

10,538

Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #183243

Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa Collabagents Miec-Tepoztlacatl Cepantequitiliztli Tlanechicolli

CollabAgents ce tlanechicolli ipan cepantequitiliztli ica miec tepoztlacame, otlachichihualoc inic ohuihqui tequipanoliztli. In tlacame quichihua ce tequiohtli ihuan quinmaca intequiuh in aquique ompa tequitizque. Ihcuac ce tequitl ahmo aca quipia, ce tepoztlamatiliztli tepoztlacatl quicui inon tequitl inic in tequipanoliztli mocentlalia. In tequitl monechicoa quen tlahtolquechilli tlen mocepanilpia, ihuan ihcuac ce tlahtolquechilli mopatla, no mopatla in tlaxelolli tlen quitoca. Mochihua ce tlahtolli tlen quipia itlanahuatil, quen amoxtlahcuilolli, inic in tlamatiliztli momaca ica melahuacayotl ihuan inic ahmo onca neixnamiquiliztli. CollabAgents quicuepa in tequipanoliztli tlen zan ce ohtli quitoca ipan tlanechicoltin tlen huel mocuepa ihuan quinanquilia in tlapatlaliztli.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Bronse

Collabagents Miec-Tepoztlacatl Cepantequitiliztli Tlanechicolli ca in quicuic in Mahuizolli A' Design Award Bronse, hueyi tlamahuizoliztli tlen momaca in cualli tlachihualli in motenehua ipampa yancuic tlamantli, tlamatiliztli ihuan ixtlamatiliztli. In quicuicah Bronse ca tlachihualli in quipia toltecayotl ihuan quinextia in cenca miac nemiliztli ihuan tlamatiliztli intlachihuanime. Ca quinequi in Collabagents Miec-Tepoztlacatl Cepantequitiliztli Tlanechicolli ca tlazohtli tlamantli, mahuiztic ihuan cualli. Ni dizayno in quicuic Bronse quipia cualli toltecayotl ihuan quitta in tlen tepiton. Collabagents Miec-Tepoztlacatl Cepantequitiliztli Tlanechicolli quipaquiltia in tlacah ihuan quitlamahuiztiltia in intlanequiliz.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Huēyiliztli īhuān Tlacualtepēhualli: 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.
Tōcāitl: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Tlachīhualiztli Māchiyōtl: 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.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Tēquitl Ōhuitl: 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.
Patentēmeh: No patents or trademarks are registered for this project.
Calpolli Tlācah: Jiahui Yu
Xudong Xing
Īxiptla Tlanēxtīlli: 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.