Enterprise AI Workflow Patterns: Autonomy vs Control
Choose between single inference, fully autonomous agents, deterministic workflows, and guided hybrid agents. Comparison matrix, JSON contracts, and when to escalate from one call to a full agent.
AI & Intelligence
Governed agents, RAG, and production AI on enterprise foundations.
One Agent with Routes vs Specialized Agents: When to Split
Enterprise agent architecture: when a shared runtime with governed routes is enough, and when different execution boundaries require specialized agents.
LLM Hosting Options for Regulated Industries
From public SaaS to air-gapped on-prem: a practical ladder of LLM hosting options, and how to choose based on regulatory pressure and engineering maturity.
How to Design an Intent Router for Agentic AI
A practical design guide for intent routing — route tables, layered classification, confidence thresholds, session stickiness, eval gates, and wiring dispatch into the agentic app before the model loop runs.
What Is an Intent Router — and Why It Matters in Agentic AI
An intent router is the first deterministic decision in an agent stack. It maps user requests to the right workflow, agent, and tool manifest before the model loop runs — and when it fails, every downstream stage can execute perfectly and still miss the user’s goal.
RAG Is Not a Database
RAG is runtime context construction at query time, not a storage layer you bolt onto an LLM.
Hallucinations Is a System Design Problem
Hallucination is not the model failing. It is the model succeeding at the wrong objective in a system that never gave it the right one.