AI Agent for science. I build tools for research workflows, text mining, automation, and practical AI applications.
- Focus: AI Agents, scientific research workflows, data analysis, and automation tools
- Long-term interest: using LLMs and agent systems to make research, reading, writing, and coding more efficient
- Main stack: Python, TypeScript, Jupyter Notebook, GitHub Actions, LLM tooling
- Current direction: personal AI workbench, research agents, article collection, and knowledge workflows
- Agent-native workflows for research, coding, and knowledge work
- Chinese content collection, search, and structured analysis
- Scientific data analysis and practical machine learning models
- Personal productivity systems powered by LLMs and automation
- Website: hebox.one
- GitHub: github.com/dctongsheng