Sprounix Primary Function: Wakiilka Xirfadeed ee AI by Xiaoshi Dai, Di Xia and Feifan Gao

Sprounix Primary Function: Wakiilka Xirfadeed ee AI by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 Abaalmarinta Birta ah ee A' Design Award in Naqshadeynta Badeecadda Dhijitaalka Competition Category.

BirBadeecadda Dhijitaalka· 2026

Sprounix Primary Function: Wakiilka Xirfadeed ee AI

by Xiaoshi Dai, Di Xia and Feifan Gao

Client: Sprounix

Abaalmarinta Birta ah ee A' Design Award Winner in Badeecadda Dhijitaalka Category

5,263

Verified Award Winner

Verify Award Status for #183302

Visit Site View at A' Design Award Press Release Award Badge

Colors

The Design

About Sprounix Primary Function: Wakiilka Xirfadeed ee AI

Book Text: Sprounix waa interface uu AI wado oo loogu talagalay in lagu fududeeyo hannaanka adag ee codsiga shaqada iyada oo loo marayo UX wadahadal ah. Si loo xalliyo dhibaatada daalka codsiyada, naqshaddu waxay ku beddeshaa foomamka go'an interface sheeko ah oo qaababka badan leh kaas oo qabta xirfadaha jilicsan iyada oo loo marayo wada hadal dabiici ah. UI-gu wuxuu leeyahay dashboard Co-pilot ah oo socda kaas oo bixiya tababar wareysi waqtiga dhabta ah iyo dabagal hawleed hufan. Iyada oo la isku darayo protocols Agent to Agent ah, nidaamku wuxuu si toos ah u qabtaa wadahadalada gadaal, taas oo u oggolaanaysa isticmaalayaasha inay maamulaan codsiyada inta jeer ee sare leh iyaga oo isticmaalaya qaab is-dhexgal fudud oo aan walaac lahayn.

The Recognition

About the Abaalmarinta Birta ah ee A' Design Award

Sprounix Primary Function: Wakiilka Xirfadeed ee AI waa guuleystaha Abaalmarinta Birta ah ee A' Design Award, aqoonsi sharaf leh oo la siiyo naqshado wanaagsan oo buuxiya shuruudaha xirfadeed iyo kuwa warshadeed ee laga filayo hal-abuurro si wanaagsan loo naqshadeeyay. Guuleystayaasha Birta waxay muujiyaan xirfad weyn, takhasus sare, fahan khabiir iyo awood hal-abuur oo abuurayaashooda. Sprounix Primary Function: Wakiilka Xirfadeed ee AI waa hal-abuur la filayo inuu noqdo mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, wax ku ool ah oo cusub. Naqshadahan ku guuleystay Abaalmarinta Birta ah ee A' Design Award wuxuu isku daraa hab-dhaqannada ugu wanaagsan warshadda wuxuuna leeyahay sifooyin farsamo oo karti leh oo ku xiran aqoon iyo hibo. Dhammaystirkeeda awgeed, Sprounix Primary Function: Wakiilka Xirfadeed ee AI waa mudan ixtiraam, waxaana loo naqshadeeyay inay keento hagaajin nololeed oo ka caawisa in adduunka laga dhigo meel ka wanaagsan.

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