AI in Business & Economic Research¶
A curated knowledge base on using AI tools and workflows for business and economic research. Built from 129 web articles, academic papers, and practitioner guides.
Categories¶
- Foundations & Setup (15) — Installation, privacy, getting started with AI coding tools
- Prompt Engineering & Workflow (10) — Prompt design, plan-driven development, workflow architecture
- AI Agents & Agentic AI (11) — Agent frameworks, agentic workflows, autonomous research
- Claude Code Skills & Advanced (23) — Skills, DAAF, continuous improvement, compilation workflows
- Data Analysis & Web Scraping (10) — WRDS, EDGAR, scraping, data pipelines
- Academic Research & Publishing (18) — Vibe research, feedback machines, AI-assisted writing
- Finance & Econometrics (8) — Project APE, automated research in finance, policy evaluation
- AI Tools & Comparisons (7) — ChatGPT vs Claude, Cursor, NotebookLM, tool selection
- Institutional & Societal (14) — AI adoption, the bitter lesson, AI as normal technology
- Professional Productivity (13) — Executive assistant, project management, tax, meetings
Navigation¶
- Summaries — One page per source article or paper
- Concepts — Cross-cutting themes synthesized across sources
- Visualizations — Diagrams, maps, and timelines
- Author Index — Every author with links to their summaries
- Category Map — How the ten categories relate
- Source Timeline — Sources by publication date
About¶
For researchers and practitioners looking to integrate AI into their workflow. Maintained by Mihail Velikov (Penn State, Smeal College of Business).