The LLM Structural Crisis: Solving Context Decay with the AI Memory Prosthesis
Introducing Simulated Recall via Shallow Indexing (SR-SI), an architectural pattern that stabilizes LLM coherence and eliminates context drift in long-running projects.
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.
Software should be temporary by default
Agent-generated interfaces invert the old software model: tools should appear for a need, prove their usefulness, and only then earn a permanent place.
What an AI integration actually costs a 30-person UAE startup - and what you get for it
An AI integration engagement is not a tool license or prompt-template pack. The real cost depends on operational complexity, knowledge distribution, and how much orientation the team needs.
Builder mode vs architect mode in AI development
Most AI dev workflows assume you’re executing a resolved plan. Real product work is architectural discovery — and specs should be the output, not the input.
AI governance needs identity, not just rules
Most governance focuses on behavior through rulebooks. The deeper shift is building accumulated state and history — giving systems something to be, not just rules to follow.