TLDR · PROGRAMMING, DESIGN & DATA SCIENCE

STOP BUILDING SYSTEMS FOR AGENTS

blog.xiangpeng.systems4 min read

Summary from the TLDR newsletter

Today's systems are sub-optimal for AI agents as they waste context, confuse models with unstructured output, and prioritize vision-based human interaction over text-based LLMs. While some think this means we need to build systems that treat LLMs as first-class citizens, that approach is not totally required - if humans can live with it, LLMs will eventually catch up. Real agent-native systems should be radically observable and deterministic. It's better to focus on what LLMs can do for humans rather than think about what humans can do for LLMs.