5 POSTS
After reading a lot of one person's work, the useful output is a verdict on each idea: adopt, modify, reject, or conflicts with something I already do. A worked example from an audit of Lee Robinson's writing.
Before picking a model or a framework, sort each decision in the workflow: a person, a plain rule, classical ML, or a generative model. Every wrong assignment has its own cost, and the costs run in both directions.
How structured folders and markdown files can replace complex frameworks for building powerful, persistent AI workspaces.
Programming feels hard not because you're bad at it, but because you're actually trying to understand it. A breakdown of why the struggle is the real skill-builder.