Sprounix Sui Faatino o Galuega AI by Xiaoshi Dai, Di Xia and Feifan Gao

Sprounix Sui Faatino o Galuega AI by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 A' Design Award Uʻamea in Mamanu Oloa Numera Competition Category.

UʻameaOloa Numera· 2026

Sprounix Sui Faatino o Galuega AI

by Xiaoshi Dai, Di Xia and Feifan Gao

Client: Sprounix

A' Design Award Uʻamea Winner in Oloa Numera Category

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Verified Award Winner

Verify Award Status for #183302

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The Design

About Sprounix Sui Faatino o Galuega AI

O le Sprounix o se feso'ota'iga e fa'aulu i le AI ua mamanuina e fa'afaigofie ai le faagasologa lavelave o talosaga galuega e ala i se UX fa'atalanoaga. Ina ia fo'ia le fa'afitauli o le vaivai i talosaga, o le mamanu ua suia ai pepa fa'amau i se feso'ota'iga fetalanoa'i fa'apolofesa e maua ai tomai fa'aagafesootai e ala i talanoaga masani. O le UI o lo'o fa'aalia ai se laulau fa'afoe Co-pilot e maua ai a'oa'oga fa'asaga i fa'atalanoaga i le taimi tonu fa'apea le siakiina manino o galuega. E ala i le tu'ufa'atasia o ta'iala mai le Sui i le Sui, e otometi ai e le faiga fefa'atauaiga i tua, ma fa'ataga ai tagata fa'aoga e fa'afoe talosaga maualuga e ala i se fa'ata'ita'iga fegalegaleaiga fa'afaigofie ma le leai o se popolega.

The Recognition

About the A' Design Award Uʻamea

O le A' Design Award Uʻamea na manumalo ai Sprounix Sui Faatino o Galuega AI, o se faamaoniga mamalu e tuuina atu i mamanu lelei e faataunuu ai manaʻoga faapolofesa ma pisinisi e faamoemoeina mai galuega ua mamanuina lelei. O ē manumalo i le Uʻamea e faaalia ai le tomai tele, le faapitoa maualuga, le malamalama o tagata poto ma le mafai fatufatuaʻi o ē na faia. E faamoemoeina Sprounix Sui Faatino o Galuega AI e avea ma mea ua matuā vivii, mataʻina ma pelepelea e aogā ma fou. O lenei mamanu na manumalo i le A' Design Award Uʻamea e tuufaatasia ai faiga sili o le pisinisi ma e iai uiga faatekonolosi mafai ua fesoʻotaʻi ma le poto ma le taleni. Ona o lona faatuatuaina, e tatau ai Sprounix Sui Faatino o Galuega AI ona faaaloalogia ma ua mamanuina e tuuina mai ai faaleleiga o le olaga e fesoasoani e faia ai e le lalolagi se nofoaga e sili atu ona lelei.

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