Personal medical knowledge base
A workflow for turning textbooks, papers, and AI-generated summaries into a searchable local knowledge base.
Start here
This site is organized around a question: how can a medical student use AI tools, writing, and project work to build durable personal knowledge instead of collecting scattered notes?
Reading paths
Start with the pieces that explain why writing, building, and public notes became the operating system for this site.
Read this path if you want the core argument: AI matters most when it reduces the distance between an idea and a working attempt.
A route through the recurring lesson that skill grows through doing, feedback, and friction rather than passive consumption.
The medical thread: literature, local knowledge bases, clinical standards, and the attempt to make knowledge usable.
Current projects
A workflow for turning textbooks, papers, and AI-generated summaries into a searchable local knowledge base.
Customizing coding agents so they can work with Zotero, Obsidian, PDFs, and medical reading workflows.
Understanding modern AI applications by reading and modifying TypeScript-heavy agent projects.
Using public notes to make scattered decisions, anxieties, and experiments visible enough to improve.
Site structure
How LLMs, coding agents, and AI products change the way ideas become working systems.
Posts about learning programming, building projects, and turning vague interest into concrete output.
Experiments that connect clinical learning, literature workflows, local models, and physical systems.
Essays on writing, attention, choices, markets, motivation, and the discipline of finishing things.