February 27, 2026
I don't run AI training courses. I run AI orientation engagements.
The distinction matters more than it sounds.
Insights archive, page 17
February 27, 2026
Ambiguity is information, not a problem
Forcing uncertainty into structured requirements doesn’t remove ambiguity — it hides it. The cost shows up later as the wrong thing, built perfectly.
February 27, 2026
Computation is killing collaboration
Most teams treat LLM memory as a compute problem. It’s an architecture problem. SR-SI replaces bloated scaffolds with a simple retrieval prosthesis built on indices, markdown, and Git.
February 27, 2026
Documentation tells you what happened. An index tells AI where to look.
These are not the same artifact and treating them as equivalent is one of the most expensive mistakes in AI-augmented work.
February 26, 2026
Why AI outputs feel 60% relevant
When AI lacks your context, it returns the average answer with confident tone. The fix isn’t better prompting — it’s an orientation layer that makes your team’s knowledge findable before execution.
February 26, 2026
SR-SI accidentally solved the documentation problem too
SR-SI forces compact architectural clarity for AI orientation — and that same structure produces always-current human documentation as a byproduct.