A Phased Architecture for Complex Context Understanding
AI agents are no longer just “LLM + prompt”.
Real-world agents must reason, remember, act, and adapt across long-running tasks, multiple systems, and evolving context.
This article presents a phased architecture for building scalable AI agents — from naive prompt-based systems to production-grade agent platforms
