Practical guides, open-source tools, and opinionated articles on using AI to transform research, teaching, and learning.
Using LLMs, coding assistants, and local models for literature review, data analysis, academic writing, and privacy-conscious research workflows.
Helping teachers and academics employ AI tools for course development, content creation, grading support, and productivity enhancement.
Helping students learn with and through AI — prompt and context engineering, critical evaluation of outputs, and building real skills, not shortcuts.
VSCode-centric workflows, voice-to-text, coding assistants, and the philosophy that one environment replaces a dozen separate apps.
I stopped using PowerPoint, Keynote, and Google Slides entirely this semester. Here's why coding lecture slides in HTML with AI assistants is faster, better, and more enjoyable — and how you can make the switch.
Word, Excel, PowerPoint, SPSS, R Studio — I don't use any of them anymore. Here's how VS Code with AI assistants replaced a dozen separate apps and made me dramatically more productive.
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