AI doesn’t need an encyclopedia. It needs an index.
The problem with most AI workflows isn’t missing information. It’s missing navigation. SR-SI works because it gives AI a compact index, not a bloated encyclopedia.
AI Workflow Architecture
Further reading
AI Workflow Architecture
AI workflow architecture matters because AI adoption fails when tools know the task but not the operating context around it.
What SR-SI actually is - and why I stopped explaining it as an AI trick
SR-SI isn’t prompt engineering or RAG. It’s an index architecture that lets models re-orient on demand, preventing coherence drift and turning documentation into a zero-cost byproduct.
Don't brief AI with history. Orient it with a map
Good onboarding isn’t comprehensiveness — it’s navigation. SR-SI replaces prompt stuffing with a shallow index that lets AI find the right detail on demand.
Why I went the opposite direction from spec-first
Spec-first tools aren’t wrong — they just don’t match how everyone thinks. SR-SI supports an architect’s workflow: sketch, test, refine, repeat, without context loss.
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.