Arcads Mark Slack Agent：利用对话上下文生成广告
The interesting part about Arcads Mark being available in Slack is the context l…
The interesting part about Arcads Mark being available in Slack is the context layer.
Arcads Mark 能在 Slack 中使用的有趣之处在于其上下文层。
Instead of treating ad creation as a sequence of disconnected tasks, Mark can use the information already present in the conversation as input.
Mark 不再将广告创建视为一系列不相关的任务，而是可以利用对话中已有的信息作为输入。
Product positioning, campaign feedback, competitor references, creative directions.
产品定位、活动反馈、竞争对手参考、创意方向。
That context can then flow directly into the generation layer.
这些上下文信息随后可以直接流入生成层。
We're moving from AI models that perform individual tasks to agents that can maintain context across the workflow.
我们正从执行单一任务的 AI 模型转向能够在整个工作流中保持上下文的智能体。
That's the more important shift.
这才是更重要的转变。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力