17 分钟演示：OpenAI Dot 边订洛杉矶行程边处理产品反馈
演示中 Dot 查差旅规则、比价可退机票酒店，同时归类反馈、关联 Linear 工单，并跟进用户更新后是否解决问题。
In this 17-minute demo, an OpenAI Dot helps plan a last-minute trip to LA while handling product feedback and unanswered Slack messages. It checks company travel rules, compares refundable flights and hotels, and gathers photos and maps. When the timing looks tight, it revisits the options. Then it moves into product work: grouping feedback, linking issues to Linear tickets and PRs, and identifying problems still waiting for a fix. The follow-up matters too: asking users to retry after an update and checking whether it actually solved their problem. All while the travel task continues in the background. That coordination is what I explore in my article: Dots, Grok Bot, and Sonnet 5.5 handling the same content workflow, with a closer look at handoffs and how much work comes back to the human. See the comparison and my pick below ↓
这条是引用着另一条写的：x.com/solomonrojie/status/2105713134174605327