Dan, an engineer in Los Angeles, shares his experience building reliable AI agents for consumer use. He discusses the challenges of making LLMs perform consistently in production, noting they frequently fail in subtle and unexpected ways despite appearing reliable in testing, and explores techniques like structured output and repeated testing to constrain their behavior.
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.