David Zhang from Aomni gives his view agents' reliability, debugging and orchestration

David Zhang, the founder of Aomni, has developed an AI agent designed to streamline sales market research and account planning by automating the collection and analysis of unstructured web data. Aomni helps sales representatives save significant time by managing the preliminary work involved in outreach and relationship building, although most of its users are unaware of the underlying technology. Zhang emphasizes the importance of achieving enterprise-level reliability for AI agents, setting a standard of 99.9% reliability, and notes the tradeoff between generality and reliability in agent design. He predicts the future of agent technology will involve more niche-specific solutions and explains his strategy of limiting Aomni's tool usage to enhance reliability. Additionally, Zhang discusses the challenges of debugging and monitoring agent processes, advocating for building on existing technologies rather than developing new frameworks, and highlights the potential for innovations such as time-travel debugging and effective feedback collection. He maintains active communication with users through Discord, focusing on error message clarity and product analytics integration, and suggests creating a repository of use cases to better manage agent feedback and performance examples.