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Qomo
Qomo is an AI prompt engineering optimization platform that transforms complex prompts into visual drag-and-drop components, enabling prompt knowledge reuse.
Qomo
Created by
ZHANG Qingyang (Chinese)
WEI Jiayang (Chinese)
QU Shiqiao (Chinese)
Popularity
69
Awards
Best Visual Design (1st), Popularity Award (3rd)
  • Inspiration

    Built to solve two core AI application bottlenecks: high barriers to effective prompt engineering and inefficient reuse of accumulated knowledge assets.

  • Purpose

    Qomo allows users to visually build AI prompts by dragging and dropping modular components(e.g., constraints, context, tasks), stores reusable prompt templates and components, making prompts users’ knowledge assets, and finally optimizes AI output quality.

  • How It Was Built

    Qomo has adopted technologies including React 18 + TypeScript+ Vite, React DnD (drag-and-drop), IndexedDB (client storage) andZustand (state management).

  • Target Users/Scenario

    All AI users—whether professionals or casual individuals, solo creators or teams—struggling with unstable AI outputs and non-reusable prompts.

  • EdgeOne Pages Integration Advantages:

    • 1. Global CDN acceleration: Leverages Tencent Cloud EdgeOne's global node network to ensure fast access for global users.

    • 2. Edge function capabilities: Automatically recommends the most suitable interface language based on users' geographic location through edge functions, providing personalized localized experiences.

    • 3. Security protection: Integrates DDoS protection, WAF firewall, and other security capabilities to ensure application security.

    • 4. One-click deployment: Implements continuous deployment through Git integration, simplifying operational processes; preview branch deployment functionality enables new feature development and UI optimization testing in real environments, ensuring main branch stability.

    • 5. Real-time template synchronization: Utilizes EdgeOne Pages' KV storage to achieve online storage and real-time synchronization of templates across devices, which will be integrated into Qomo.

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