Teamily AI：用 Agent Loop 解决多工具协作断点，附增长数据
Using several AI tools can leave you doing a lot of the work between them: copyi…
通过具体的 Agent Loop 工作流演示，清晰展示了产品如何解决多 AI 协作痛点，结构完整且有真实测试细节。
Using several AI tools can leave you doing a lot of the work between them: copying research, repeating the brief and explaining what happens next.
使用多个 AI 工具会让你在它们之间做大量工作：复制研究内容、重复简报并解释接下来会发生什么。
I tried Teamily AI @Teamily_AI to see how team agents handle that handoff.
我尝试了 Teamily AI @Teamily_AI，看看团队代理如何处理这种交接。
For my test, I used a preset team to build an AI Video Editing Lab, then connected two agents in a Loop.
在我的测试中，我使用了一个预设团队来构建 AI 视频编辑实验室，然后将两个代理连接成一个循环（Loop）。
I kicked it off once:
我只启动了一次：
- TikTok Strategist researched AI video editing tools, gathered sources and recommended a candidate. - Content Creator picked up that research and turned it into a plan for a 20-minute hands-on test. - The plan came back to the same group, where I could open it beside the conversation and review it.
- TikTok 策略师研究了 AI 视频编辑工具，收集了来源并推荐了一个候选方案。 - 内容创作者接手了这些研究，并将其转化为一个 20 分钟动手测试的计划。 - 该计划返回到同一个群组，我可以在对话旁边打开它并进行审查。
The handoff included the original task as well as the research. I could see what the first agent passed along and what the second agent built from it. The output was a concrete plan I could inspect, with the conversation right there beside it.
交接包含了原始任务以及研究内容。我可以看到第一个代理传递了什么，以及第二个代理基于此构建了什么。输出是一个我可以检查的具体计划，并且对话就在旁边。
For creators and small teams, that’s a useful change from working across separate AI chats. The agents share the project brief, each has a clear job, and the person stays involved to review the result and decide what happens next. Less time repackaging one AI’s answer for another.
对于创作者和小团队来说，这是从跨多个独立 AI 聊天工作转变而来的有用改进。代理共享项目简报，每个代理都有明确的工作职责，而人员保持参与以审查结果并决定下一步行动。减少了将某个 AI 的答案重新打包给另一个 AI 的时间。
10K → 320K sign-ups in one quarter: 32×. That’s the growth milestone Teamily AI is announcing.
一个季度内从 10K 增长到 320K 注册量：增长了 32 倍。这是 Teamily AI 宣布的增长里程碑。
If you’re trying it, start with one job you already repeat. Put the people and agents involved in the same group, give each agent a clear role, and build a Loop around the handoff.
如果你正在尝试，可以从你已经重复的一项工作开始。将涉及的人员和代理放在同一个群组中，为每个代理分配明确的角色，并在交接周围构建一个循环（Loop）。
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