The AI-Everywhere Architecture: Building Services That Collaborate With LLMs

Building AI-Everywhere Architecture requires moving beyond simple API calls to a robust, layered system. The core design involves four critical components: Vector Stores (for RAG and external knowledge context), Routing Layers (for cost optimization and capability matching across different LLMs), Guardrails (for essential PII protection, prompt injection defense, and safety), and Agent Orchestration (to break down complex tasks and execute them using external tools). In short: engineer your services to collaborate with LLMs, not just consume them.