Field notes on AI deployment, Level-3 agents, MCP servers, and the gap between wanting AI and running it in production.
Most companies think they're deploying AI. They're running Level-1 tools at best. Here's the full capability spectrum and what it takes to reach Level-3 — where AI closes operational loops without human intervention.
Read article →The models are good. The APIs are accessible. The blockers are permission layers, data access, production reliability, and the absence of someone who owns the outcome after handoff.
Model Context Protocol is the bridge between an AI agent and a company's live internal systems. Without it, agents are isolated from the data that makes them useful.
GDPR and data residency obligations aren't the blocker most people think they are — if you architect for them from the start. A practical guide to on-prem AI deployment in regulated European environments.