The article loaded fine. It's an as-told-to Business Insider profile of Allie K. Miller, CEO of Open Machine, describing her daily routine running a "workforce" of 34 AI agents connected to her email, Slack, Notion, meeting transcripts, and goals, which triage her inbox (about 30 emails by 2:15 p.m.), send her briefing emails, and take overnight tasks via voice interface (Codex Live Voice Mode, Claude agents in Slack). Practitioner takeaway is thin — this is a lifestyle piece, not a system teardown. No architecture, no agent framework, no benchmarks. The verifiable operational detail: agents run off prompts, emit summary emails, and she dictates context back to them. The rest is DoorDash, Diet Coke, 60 lunchtime jumps, and a thousand Post-its, which is a curious amount of analog state for someone whose whole pitch is rethinking how you work beyond 10-15% productivity gains. Waking at 8 a.m. because the agents worked all night, then working until 5 a.m., suggests the agents are more of a throttle than a governor. Open question: does anyone actually run 34 agents against one inbox, or is that number a prompt-count divided by an org chart?