The API Problem Behind Failed AI Scheduling

As AI agents gain capability across multiple complex tasks, their failure at multi-party scheduling exposes a fundamental infrastructure gap: existing calendar APIs were designed for human UI workflows, not agentic tool use. Agents attempting reliable scheduling must navigate OAuth redirects, raw free/busy data, timezone conversions, and multi-party constraint logic—often leading to confidently booked meetings that conflict with participants' calendars. The emergence of agent-first APIs like MeetSync signals a broader architectural shift toward infrastructure built for autonomous systems rather than human interaction patterns.