What problem does it solve? Writing a publication-ready academic paper requires coordinating literature research, argumentation, drafting, citation compliance, formatting, and revision — a process that is slow, error-prone, and hard to manage alone. ## Core Features & Use Cases - 12-Agent Writing Pipeline: Orchestrates intake, literature strategy, structure design, argument building, drafting, citation compliance, bilingual abstract, peer review, and formatting across 8 phases. - 10 Operational Modes: Supports full drafting, outline-only, revision, revision-coach (parses reviewer comments into a roadmap), abstract-only, literature review, format conversion, citation checking, plan mode, and AI-usage disclosure statements. - Multi-Format Output: Produces LaTeX, DOCX (via Pandoc), PDF, and Markdown with APA 7, Chicago, MLA, IEEE, or Vancouver citations, plus bilingual (English/Traditional Chinese) abstracts. - Use Case: A graduate student with reviewer comments on a journal submission uses revision-coach mode to parse the unstructured feedback into a prioritized Revision Roadmap with a response letter skeleton. ## Quick Start Ask the AI to write a paper on your research topic, for example: write a paper on the impact of AI on higher education quality assurance.