This conversation occurs as part of the Mixture of Experts artificial intelligence Agent Conference 2026 and is included in theCUBE and NYSE Wired programming. Ang Li of Simular, chief executive officer and co-founder, explains the company's work building an infrastructure layer for autonomous computers and the distinction between application programming interface agents and computer-use agents. Li attributes insights on agent reliability, trust and real-world deployments to demonstrations and exchanges at the conference, and they highlight the operational differences between API agents and computer-use agents. Li emphasizes trust and deterministic workflows. They state that converting neural outputs into a symbolic or code layer improves reliability and reduces token costs, making repeatable automation feasible. The discussion also highlights cloud-based virtual desktops, small and medium-sized business and financial services use cases and the importance of enterprise guardrails and approval flows for safe enterprise deployments. The segment addresses AI infrastructure, agent reliability and pathways to production for autonomous computing.