I don't run AI training courses. I run AI orientation engagements.
The distinction matters more than it sounds.
AI workflow architecture matters because AI adoption fails when tools know the task but not the operating context around it.
The distinction matters more than it sounds.
These are not the same artifact and treating them as equivalent is one of the most expensive mistakes in AI-augmented work.
PRDs decay on contact with reality. This post outlines an AI-native operating model that turns documentation from writing into evidence-based extraction.
AI should amplify your ideas, not replace your voice. Outsourcing yourself to boilerplate output strips away authenticity and makes you forget how to communicate.
The same memory discipline that works for codebases and organizations leads to a harder question: what should a life preserve?