November 17, 2025
The LLM structural crisis: solving context decay with the AI Memory Prosthesis
Introducing Simulated Recall via Shallow Indexing (SR-SI), an architectural pattern for reducing context drift in long-running AI workflows.
Llm-architecture
March 30, 2026
Why AI context degrades — and the architectural fix that actually works
AI context drift isn’t a model limitation—it’s an architectural failure. SR-SI replaces brute-force context with indexing, enabling persistent coherence across long-running projects.
April 6, 2026
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.
April 13, 2026
SR-SI in practice: what a context document actually looks like — and what it replaced
A concrete look at how SR-SI works in practice: what the context document contains, how it’s structured, and how it replaces the hidden re-explanation overhead of AI-assisted development.