Sprounix Tequipanoani AI Tlatequipanoliztli by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 Mahuizolli A' Design Award Tepoztli in Tepoztlachihualli Tlachihchihualiztli Competition Category.
TepoztliTepoztlachihualli· 2026
Sprounix Tequipanoani AI Tlatequipanoliztli
by Xiaoshi Dai, Di Xia and Feifan Gao
Client: Sprounix
Mahuizolli A' Design Award Tepoztli Winner in Tepoztlachihualli Category
Verified Award Winner
Verify Award Status for #183302The Design
About Sprounix Tequipanoani AI Tlatequipanoliztli
Sprounix yehua se tlanahuatilli tlen quitequipanoa AI tlen omochih para quichihuas inon ohuih tequiitlaniliztli ica se nahnahuatiliztli UX. Para quitlamiltis inon tequinitequipanoliztli cuitlatlatziuhcayotl, inin tlachihualiztli quipatla in amapohualli ica se miac modal tlapohualiztli interface tlen quicui in yamanqui tlamachilizmeh ica yec tlahtolli. In UI quipia se atlatic Co pilot tablero tlen quimaca tlapan tonalli tlachixqui machtiliztli ihuan tlanezticayotl tequitl tlachixtoc. Ica quicentlalia Tequipanoani ica Tequipanoani protocolos, in sistema quichihua iselti backend tlahtolnamiquiliztli, quincahuilia tlatequiuhqueh quiyacanaskeh miac tlatequiitlaniliztli ica se yecahcahualli, ahmo netequipacholli tlanepanoliztli tlachihualli.
The Recognition
About the Mahuizolli A' Design Award Tepoztli
Sprounix Tequipanoani AI Tlatequipanoliztli ca in quicuic in Mahuizolli A' Design Award Tepoztli, tlamahuizoliztli tlen momaca in cualli dizayno in quitlalia in tlen monequi ipan tequitl ihuan tlachihualiztli in quimaca in cualli tlachihualli. In quicuicah Tepoztli quinextia in hueyi tlamatiliztli, toltecayotl ihuan ihuelitiliztli intlachihuanime. Ca quinequi in Sprounix Tequipanoani AI Tlatequipanoliztli ca tlazohtli, mahuiztic, yancuic ihuan motequiuhtia. Ni dizayno in quicuic Tepoztli quihuelitia in tlamatiliztli ihuan quipia chicahualiztli tlen tepoztli. Sprounix Tequipanoani AI Tlatequipanoliztli quicualtia in nemiliztli ihuan quihuelitia in cemanahuac ica cualli.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Sprounix is a chat-centric AI Career Agent that transforms job seeking into a multimodal interactive journey. Beyond static resumes, it uses text and video dialogue to uncover soft skills and aspirations. A key innovation is the Agent2Agent A2A technology, enabling the user’s agent to communicate directly with recruiter systems for hyper-efficient matching. It also provides automated applications and real-time interview coaching, acting as a proactive career advocate.
- Dimensions & Packaging
- Sprounix is a cloud-based, responsive web platform compatible with all modern browsers. It supports multi-modal inputs including WebRTC video, voice-to-text, and PDF parsing. The matching engine achieves over 85% accuracy by moving beyond keywords to multi-dimensional intent recognition. The system adheres to WCAG 2.1 accessibility and enterprise-grade security standards, ensuring full GDPR compliance for encrypted candidate data protection.
- Tags
- AI Career Agent, Agent2Agent, Conversational UI, UX Design, Future of Work, Automated Recruitment, NLP, Multi-modal Interaction
- Production Technology
- Built on a robust AI infrastructure using Large Language Models (LLM) for natural language understanding and multi-modal analysis. The core innovation is the Agent2Agent (A2A) communication protocol that streamlines data exchange between independent AI entities. The system features a responsive React-based front-end for seamless cross-platform use, integrated with real-time video processing and scalable microservices to handle high-frequency job matching and data sync.
- Design Challenge
- The primary challenge was designing a seamless UX for the complex Agent2Agent backend. We had to ensure users felt in control while their AI agent performed proactive tasks like autonomous applications. We solved this by creating a highly intuitive, chat-first interface that provides transparent "Co-pilot" updates. Integrating multi-modal inputs (text and video) while maintaining a consistent, supportive AI persona across all platforms was a significant technical and design obstacle we overcame.
- Research
- Our research explored the Job Search Anxiety among early career talents and the inefficiencies of keyword-based recruitment. We used a mixed-methods approach, including more than fifty user interviews and data analysis of traditional ATS systems. The results showed that users provide forty percent more detailed skill data via natural dialogue than static forms. This led to the development of our Chat-centric discovery interface and the Agent2Agent matching protocol, which proved to reduce initial screening time by seventy percent in pilot tests.
- Inspiration
- The inspiration came from the challenging labor market faced by Gen Z. Traditional job hunting is often repetitive and discouraging. We wanted to create a "Co-pilot" that doesn't just list jobs but actively advocates for the user. By combining AI-driven matching with a friendly, gamified experience, we aimed to lower the anxiety of career-starting and make professional growth feel like a guided, empowered journey.
- Project Duration
- The project conceptualization started in January 2025 in the United States. Following intensive research and UX prototyping of the conversational engine, the beta version of the platform was developed and finalized in late 2025.
- Operation Flow
- The experience centers on a conversational interface where users engage with the AI via text or video. This chat-first approach replaces traditional forms, building a deep professional profile. Once the agent understands the candidate's goals, it leverages A2A protocols to negotiate with recruiter agents and automate applications. The co-pilot remains active throughout, providing instant feedback and resume tailoring via a fluid UI.
- Team Members
- Xiaoshi Dai
Feifan Gao
Di Xia - Image Credits
- Image & video design: Xiaoshi Dai, Di Xia, Feifan Gao
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