Sprounix Mpiandraikitra Asa AI by Xiaoshi Dai, Di Xia and Feifan Gao

Sprounix Mpiandraikitra Asa AI by Xiaoshi Dai, Di Xia and Feifan Gao is a highly esteemed winner of the very prestigious 2026 A' Design Award Vy in Famolavolana Vokatra Nomerika Competition Category.

VyVokatra Nomerika· 2026

Sprounix Mpiandraikitra Asa AI

by Xiaoshi Dai, Di Xia and Feifan Gao

Client: Sprounix

A' Design Award Vy Winner in Vokatra Nomerika Category

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Verified Award Winner

Verify Award Status for #183302

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Colors

The Design

About Sprounix Mpiandraikitra Asa AI

Sprounix dia interface tarihin'ny AI namboarina hanamora ny dingana sarotra amin'ny fangatahana asa amin'ny alalan'ny UX firesahana. Mba hamahana ny olan'ny havizanana amin'ny fangatahana, ny famolavolana dia manolo ny taratasy mibaribary amin'ny interface firesahana maro karazana izay maka ny fahaiza-manao malefaka amin'ny alalan'ny resaka voajanahary. Ny UI dia mampiseho dashboard Co pilot mikoriana izay manome fanofanana adihevitra amin'ny fotoana tena izy sy fanaraha-maso asa mangarahara. Amin'ny fampidirana protokolan'ny Agent amin'ny Agent, ny rafitra dia manao mandeha ho azy ny fifampiraharahana ao aoriana, ka mamela ny mpampiasa hitantana fangatahana matetika amin'ny alalan'ny modelin'ny fifandraisana tsotra sy tsy misy adin-tsaina.

The Recognition

About the A' Design Award Vy

Nandresy ny A' Design Award Vy ny famolavolana Sprounix Mpiandraikitra Asa AI, fankasitrahana malaza omena ny famolavolana tsara izay mahafeno ny fepetra ara-barotra sy ara-indostria andrasana amin'ny famoronana natao tsara. Ny mpandresy Vy dia mampiseho fahaiza-manao lehibe, fahaizana manokana ambony, fahatakarana manam-pahaizana ary fahaizana mamorona an'ireo mpamorona azy. Andrasana ho famoronana ankasitrahana be, ankafizina ary tiana izay azo ampiharina sady vaovao ny famolavolana Sprounix Mpiandraikitra Asa AI. Ity famolavolana nandresy ny A' Design Award Vy ity dia mampiray ny fomba fanao tsara indrindra amin'ny indostria ary manana toetra ara-teknika mahomby mifandray amin'ny fahalalana sy ny talenta. Ny famolavolana Sprounix Mpiandraikitra Asa AI dia hajaina noho ny fitandremany ary natao hanome fanatsarana ny kalitaon'ny fiainana izay manampy hahatonga ny tontolo ho toerana tsara kokoa.

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