I built a "Deep Reading" lab for technical articles, but...

Like most engineers, I read a lot of deep-dives on things like robotics and systems design. My problem is once I finish an article, there’s no easy way to graft that new knowledge onto my existing system.

I want to automate the pipeline between consuming an article and integrating it into a structured knowledge system.

So I built Noesis (https://noesis-ai.app) for myself and a few friends to fix this. It’s a deep-reading web app that extracts core technical concepts from PDFs and documentation into a structured knowledge system.

But I'm not sure if this is the "best" workflow to learn new knowledge. Maybe the manual struggle of note-taking is the only way the brain actually learns. Am I over-engineering a solution to a shared pain point...Everyone has a different 'system'—or lack thereof. Can you please share your way to learn and bridge this gap?