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What to build instead of AI agents
Here’s what you should build instead
Paul: Today, the scene is owned by Hugo, a brilliant mind who advises and teaches teams building LLM-powered systems, including engineers from Netflix, Meta, and the U.S. Air Force. Failure Point #1: Agents assumed they had context that they didn’t Problem: Long documents caused the summarizer to forget citations entirely What I'd do now: Use explicit memory systems, not just role prompts I teach a course on the entire LLM software development lifecycle(use code PAUL for$100 off), covering everything from retrieval and evaluation to observability, agents, and production workflows.
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