Problem
Students and researchers need academic text to sound natural without losing technical meaning, discipline-specific terminology, or personal writing voice.
AI Product Engineering
Bilingual academic writing refinement platform for Chinese and English drafts, designed to reduce AI-sounding phrasing while preserving meaning, terminology, and author voice.
Evidence mode
Students and researchers need academic text to sound natural without losing technical meaning, discipline-specific terminology, or personal writing voice.
Designed the product concept and implemented the core editor, bilingual prompt system, diff workflow, term locking, quota behavior, and export path.
Used Next.js 16 App Router, React 19, TypeScript, Tailwind CSS 4, the diff package, docx generation, cookie-based free quota, and Gemini Flash API integration without an SDK.
Created a reviewable MVP that demonstrates AI product thinking, LLM integration, document tooling, bilingual UX, and product roadmap planning for auth, payments, durable rate limiting, analytics, and extensions.