Why we don't give certificates, why cohorts beat courses, and why implementation beats theory. Pipeline Punks teaching philosophy explained.
A look at why tools change, patterns persist, and platforms quietly accumulate decay.
Most AI "pipelines" optimize demos, not systems. This explains why.
Why chasing stacks is less useful than understanding structure.
Your AI tools don't suck. Your information architecture does. Why explicit context beats tribal knowledge.
Answer Engine Optimization isn't SEO with extra steps. It's building for how AI actually finds and uses information.
How to build the instruction manual your AI agents actually need. Structured context that compounds.