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Rachel🥥

Rachel🥥

@Zesee最近同步 2026/11/5 00:18:10

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00年｜上交 x 帝国理工｜AI Spark创始人｜前微软&亚马逊产品经理｜分享AI使用干货与商业化变现｜抖音/小红书：Rachel的AI使用日记｜[email protected]

Hong Kong

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Rachel🥥@Zesee

1.9万粉丝11/3 14:31

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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. I tried Teamily AI @Teamily_AI to see how team agents handle that handoff. For my test, I used a preset team to build an AI Video Editing Lab, then connected two agents in a Loop. I kicked it off once: - 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. 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. 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. 10K → 320K sign-ups in one quarter: 32×. That’s the growth milestone Teamily AI is announcing. 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.

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