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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.
Designing Economic & Financial AI Agents is an AI-native course offered by Lingnan College, Sun Yat-sen University — open to anyone interested in AI, regardless of major or background. The course covers how to design production-ready AI agents for economics and finance scenarios, structured in three layers: principles, methods, and practice. This site hosts the syllabus, textbook, and teaching resources.
Designing Economic & Financial AI Agents: From Principles and Methods to Practice. A 24-chapter hands-on textbook co-written by humans and AI agents, covering agent design, prompt engineering, multi-agent orchestration, automated office workflows, investment research systems, and academic research automation.
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.
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.
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.
