AI Agents Fail for 2 Reasons. Crowdsourcing Solved Both. | Julia Dalton, SVP Product (Capacity)

Long before “AI Agent” was the buzzword in every product discussion, Julia Dalton was already deep into solving the problems of coordinating thousands of worker agents, creating clear instruction prompts, and evaluating output quality. Julia is SVP of Product at the AI-support automation platform, Capacity. Previously, she helped scale workflow orchestration at OneSpace, formerly known as Crowdsource, where thousands of freelancers executed microtasks for major retailers. As it turns out, managing humans at scale and managing AI agents have a lot more in common than most people realize. In this episode, Julia shares: * The two failure modes that kill every AI agent before the model ever runs * Why running a crowdsourced work platform gave her incredible insights into building effective agentic AI products * How Julia and her team built an AI system to triage and prioritize product feedback, automating low-complexity builds and helping make better decisions on high-stakes tradeoffs