Limited Contextual Understanding in AI Agents

Their context windows are too small to allow the tools to make broad inferences across all of the screens, and then to hold that information in memory while implementing the changes. When they tried to build components from their own summaries, they hallucinated details that didn't match the original designs.

Limited contextual understanding makes AI agents less effective in understanding long-form content. LLMs hallucinate more than they help unless the task is narrow, well-bounded, and high-context.