Dan, an engineer in Los Angeles, discusses the challenges and rewards of building reliable AI agents for consumer use. He describes LLMs as impressive but fundamentally unreliable—failing unpredictably at structured tasks despite working most of the time—and emphasizes the need for extensive testing and monitoring to constrain their behavior in production systems.
Dan, an engineer in Los Angeles with 25 years of experience, discusses the challenges and rewards of building reliable AI agents for consumer use. He highlights that while LLMs are impressive, they fail unpredictably at scale in production systems, requiring constant monitoring and workarounds, yet the work remains engaging and rewarding.