How Enterprise AI Systems Simulate Memory Without Breaking the Token Budget

Language models are stateless compute engines. To build fluid, multi-turn AI assistants at enterprise scale, you have to build the memory yourself. This deep-dive explores how to architect backend context propagation pipelines, avoid hot partitions, manage strict token budgets, and use event-driven summarization to keep your latency sub-50ms.