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Thèmes / network effects of AI collaboration platforms

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Platform value increases with agent stack complexity

Because Ando is designed to work across different agents and functions, its value grows as teams bring more AI into their workflows. A more complex agent stack only makes this common collaboration layer more important.

Ivan Zhou·Publié

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Our Investment in Ando: Modern Messaging for Teams and Agents

Extrait original

And because Ando is designed to work across different agents and functions, its value grows as teams bring more AI into their workflows. A more complex agent stack only makes this common collaboration layer more important.
Contexte

Ando is building a new messaging product for that world. Humans and agents work side by side, with agents participating in conversations and taking action while respecting the same boundaries you would expect from human teammates. Instead of working with agents across a growing collection of isolated apps, teams can collaborate with them in one shared environment where context carries across conversations. That shared context becomes more valuable over time. Every interaction helps the system better understand the team, making the agents in a workspace more aligned and more proactive.

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