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We are faculty and students from Lingnan College, Sun Yat-sen University. Here, we explore how AI can genuinely integrate into economics research, classroom teaching, and everyday academic workflows. We believe the best way to understand AI is to use it and build it yourself.
An AI-powered course platform for economics and finance. Teachers publish assignments, students submit online, and dual AI agents grade in parallel with structured feedback. Comes with a built-in AI teaching assistant, learning resource management, course sharing, and database backup. Deployed and actively serving real classrooms.
AI-driven document production workspace — slides, spreadsheets, and documents, all automated by Claude Code. Hand off repetitive document work to AI; humans focus on review and decisions.
A curated collection of Claude Code plugins and tools, maintained by SYSU Lingnan faculty and students. Includes paper reviewer agents, web research agents, slide generators, PDF converters, chat history summarizers, and more.
An AI-native literature wiki template. Not a PDF archive, not a RAG system — an LLM continuously maintains a living, cross-referenced academic wiki. Each new paper triggers updates across concept pages, mechanism pages, and synthesis pages.
An AI-native note-taking system. Paired with Claude Code and Obsidian, it takes raw input, analyzes content, searches related notes, decides where to file it, and creates or updates Markdown files with maintained indexes. End-to-end AI-driven, from capture to archive.
A portable Quarto book scaffold for textbooks, lecture notes, and long-form technical writing. Ships with semantic code blocks, callout style guides, dual rendering profiles, chapter templates, and Chinese-first defaults. Clone and start writing.
One-click macOS AI toolchain installer. Auto-detects Intel / Apple Silicon, supports online and offline installation, idempotent design for safe re-runs, and covers everything from base dev environment to AI coding assistants.
At the intersection of economics & management with AI agents, our exploration spans three layers:
- Teaching — Reshaping the classroom with AI agents: intelligent grading, Q&A, and resource recommendation
- Research — Automating literature management, knowledge distillation, and paper review with AI workflows
- Tooling — Offloading repetitive academic labor to AI, freeing humans to do the thinking that actually matters
If you're interested in the intersection of economics, finance, and AI, follow our projects — and contributions are always welcome.
