LEARN
From clinical work, teaching and publishing to research and running a practice. 4 series and 59 chapters on generative AI and digital transformation, written to make tomorrow a little lighter. Read straight through, or start with whichever series draws you.
Making clinical work, teaching and publishing a little lighter
From your first encounter with generative AI to the differences between the major tools, what they are good and bad at, role prompting, prompt technique, and building your own GPTs and Gems. The first map.
Turning what is already on your computer into an asset
From chat window to workspace. Hand Word files, PDFs and data to AI, and grow a knowledge base that stays on your own machine with Gemini Notebook and Obsidian.
Build your own site with AI, and publish it to the world
From user to maker. Build a real website without writing a single line of code yourself, then ship it to the world with GitHub and Vercel.
Question, collect, analyse, communicate — the loop that moves research and practice
Speed up the whole journey of data with AI at your side. Standing on epidemiology and causal inference, so that fast and correct can hold together.
