Daily Stack
Anthropic's agentic coding environment — my primary dev tool. Full-stack development, debugging complex TypeScript/Python projects, and building this portfolio. Acts as a pair programmer that understands the entire codebase.
OpenAI's advanced reasoning models. Used for complex econometric problem-solving, multi-step policy analysis requiring deep logical chains, and structuring long-form research outlines.
Integrated via OpenClaw for daily workflows — document summarization, Chinese-English translation, meeting notes, and rapid literature synthesis. Extended context window ideal for lengthy policy documents.
AI orchestration platform for deploying and managing multiple model APIs. Routes tasks to the optimal model, manages context windows, and builds automation pipelines for research workflows.
AI-native code editor built on VS Code. Inline AI completions and codebase-aware chat dramatically accelerate development of data analysis scripts, web apps, and automation tools.
Low-code platform for building conversational AI agents. Used to build the Dashboard AI Assistant — configuring RAG workflows, intent classification, and DeepSeek-V3.1 model integration for academic advising.
Real-time AI search for academic and policy research. Rapidly surveys literature, tracks breaking policy developments, and cross-references sources — especially useful for fast-changing GBA policy research.
Traditional econometric workflows in Stata combined with AI-assisted code generation and output interpretation. Claude writes regression code and explains results — dramatically accelerating empirical policy research.
AI Ventures
