公开观点

Santi Subotovsky

Source author · Emergence

1 场访谈 · 3 条观点 · 3 个话题

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AI team integration

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AI team integration

AI agents as coworkers

AI agents are becoming coworkers—not just tools—performing tasks such as writing code, conducting research, resolving tickets, and taking on real work across a company.

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原始摘录

AI agents are becoming coworkers, not just tools. They write code, conduct research, resolve tickets, and take on real work across a company.
Rethinking Communication for Human and AI Teams | Emergence Capital

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communication design for AI

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Agents must be part of the conversation

When AI agents work alongside people, communication tools must treat them as active participants: enabling them to know when to contribute, when to stay silent, and how to build on prior context.

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原始摘录

That changes what teams need from the tools they communicate in. When agents are doing the work alongside people, they need to be part of the conversation instead of routed around it: knowing when to jump in, when to stay quiet, and how to build on what came before.
Rethinking Communication for Human and AI Teams | Emergence Capital

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tool architecture limitation

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Existing platforms assume human-only participants

Most communication platforms—including Slack, which functions as the company’s operating layer—were designed for human-only participants and are therefore ill-suited for AI agent integration.

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原始摘录

Most communication platforms were never built with that in mind. Slack turned messaging into the operating layer of the company, the place where decisions get made and work begins, but every part of that design assumes the participants are human.
Rethinking Communication for Human and AI Teams | Emergence Capital

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