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.
Code-centric workflows, coding assistants, agentic systems, and the philosophy that one environment replaces a dozen separate apps.
The ideas are still yours. So is the theorising, and most of the sentences. The writing drifts anyway. Marginalia learns how you actually write from your own published work, then flags where a draft stopped sounding like you.
Agentic AI isn't going to out-predict your gradient booster, and that was never the point. The real shift is that the agent isn't the model. It's the modeller.
Urika is an open-source multi-agent platform that automates exploratory data analysis. You bring a dataset and a question, and a team of AI agents does the rest.
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