AgentOps: The Missing Discipline for Production AI Agents

April 2026 | 6 min read

Most teams can build an AI agent. Few can operate one. AgentOps breaks down into three layers — observability, evaluation, and optimization — with the metrics that matter at each stage and what an operational control plane looks like in practice.

AgentOps Observability Evals Production AI
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Evolution of RAG: From Simple Retrieval to Agentic Systems

February 2026 | 8 min read

A deep dive into three RAG patterns — Traditional, ReAct Agent, and Orchestrated Graph — with real implementation insights and trade-offs. When should you use each pattern, and why most production systems benefit from the orchestrated approach?

RAG LangGraph LlamaIndex AI Architecture
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Building an AI-Native Enterprise Application at Scale, from the Ground Up

April 2026 | Living Document

Defining the architecture for AI-native modernization of a core title insurance platform. Business logic as retrievable knowledge, MCP-first federation, neuro-symbolic hybrid design, and Strangler Fig migration at ~800 TB scale.

AI-Native MCP Agentic Neuro-Symbolic RAG
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