Although autonomous LLMs are inherently unreliable, there’s a long software tradition of building reliable layers on top of unreliable layers. That applies here too. We can’t guarantee that you’ll never be led astray when building an XMLUI app with the help of agents that use the XMLUI MCP server to extract patterns from docs, sources, how-tos, and samples. But it’s a lot more likely now that you and your AI team will stay anchored to ground truth. At this point, I would define context engineering as whatever it takes to make that happen.
Context engineering anchors AI agents to ground truth
