Sprounix Onye Nnọchi Anya Ọrụ AI by Xiaoshi Dai, Di Xia and Feifan Gao

Sprounix Onye Nnọchi Anya Ọrụ AI by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 Ihe Nrite A' Design Award nke Igwe in Nhazi Ngwaahịa Dijitalụ Competition Category.

IgweNgwaahịa Dijitalụ· 2026

Sprounix Onye Nnọchi Anya Ọrụ AI

by Xiaoshi Dai, Di Xia and Feifan Gao

Client: Sprounix

Ihe Nrite A' Design Award nke Igwe Winner in Ngwaahịa Dijitalụ Category

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The Design

About Sprounix Onye Nnọchi Anya Ọrụ AI

Sprounix bụ interface AI na-akwọ ụgbọ nke e mere iji mee ka usoro itinye akwụkwọ maka ọrụ dị mgbagwoju anya dị mfe site na UX nkparịta ụka. Iji dozie nsogbu ike gwụrụ n'itinye akwụkwọ, nhazi a na-eji interface mkparịta ụka multi modal dochie ngwa efu na-anaghị agbanwe agbanwe, nke na-eweta nkà dị nro site na mkparịta ụka okwu sara mbara. UI a nwere dashboard Co pilot na-asọ asọ nke na-enye nkuzi ajụjụ ọnụ n'oge ya na nlekota ọrụ doro anya. Site n'ijikọta usoro Agent to Agent, sistemụ a na-arụ ọrụ mkparịta ụka azụ na-akpaghị aka, na-enye ndị ọrụ ohere ijikwa itinye akwụkwọ ugboro ugboro site na ụzọ mmekọrịta dị mfe, na-enweghị nrụgide.

The Recognition

About the Ihe Nrite A' Design Award nke Igwe

Sprounix Onye Nnọchi Anya Ọrụ AI meriri A' Design Award nke Igwe, nnabata dị ugwu e nyere design ndị dị mma nke na-emezu ihe ndị a chọrọ n'ọrụ na ụlọ ọrụ nke a na-atụ anya n'ihe e kere eke ndị e mere nke ọma. Ndị meriri na Igwe na-egosi nka buru ibu, ọkachamara dị elu, nghọta ọkachamara na ikike imepụta nke ndị kere ha. A na-atụ anya na Sprounix Onye Nnọchi Anya Ọrụ AI ga-abụ ihe e kere eke a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya nke bụ ihe bara uru ma dị ọhụrụ. Design a meriri A' Design Award nke Igwe na-ejikọta ụzọ kacha mma nke ụlọ ọrụ ma nwee àgwà teknụzụ kwesịrị ekwesị jikọtara na ihe ọmụma na talent. A na-asọpụrụ Sprounix Onye Nnọchi Anya Ọrụ AI maka nlezianya ya ma e mere ya ka ọ nye mmeziwanye ndụ nke na-enyere aka ime ka ụwa bụrụ ebe ka mma.

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