Sachin Singh

Robotaxi now in Tampa & Orlando!

Buzz feels like one of the more interesting product launches in workplace software this year. For the last decade, our work apps have followed a familiar pattern: • Slack for conversations • GitHub for code • Notion for knowledge • AI copilots sitting in side panels waiting for prompts Buzz flips that model. Instead of humans chatting about AI, humans and AI agents become participants in the same conversation. Your agent can read context, complete tasks, coordinate with other agents, and report back inside the group chat itself. The bigger story isn’t another messaging app—it’s a new interface for work. Three things stand out: • Model-agnostic. You’re not locked into one AI provider, which matters as models improve almost monthly. • Open source + decentralized. That’s a refreshing contrast to the increasingly closed enterprise AI ecosystem. Organizations that care about ownership, privacy, or self-hosting will pay attention. • Self-sovereign architecture. If this is executed well, companies retain more control over their data and AI workflows instead of handing everything to a single SaaS vendor. The challenge, however, is enormous. Slack succeeded because everyone was already communicating there. GitHub succeeded because developers collaborated around code there. Buzz has to convince teams to change where work happens and how work happens. The network effects in enterprise software are brutal. Still, I think Jack Dorsey is betting on something bigger than chat. We’re moving from human-to-human collaboration to human + AI + AI collaboration. If every employee eventually has multiple AI agents working alongside them, today’s collaboration tools may start looking like email clients in a world that needs operating systems for autonomous work. Buzz might not replace Slack tomorrow. But it could be an early glimpse of what the workplace looks like when AI agents become first-class teammates instead of just assistants.

Buzz feels like one of the more interesting product launches in workplace software this year. For the last decade, our work apps have followed a familiar pattern: • Slack for conversations • GitHub for code • Notion for knowledge • AI copilots sitting in side panels waiting for prompts Buzz flips that model. Instead of humans chatting about AI, humans and AI agents become participants in the same conversation. Your agent can read context, complete tasks, coordinate with other agents, and report back inside the group chat itself. The bigger story isn’t another messaging app—it’s a new interface for work. Three things stand out: • Model-agnostic. You’re not locked into one AI provider, which matters as models improve almost monthly. • Open source + decentralized. That’s a refreshing contrast to the increasingly closed enterprise AI ecosystem. Organizations that care about ownership, privacy, or self-hosting will pay attention. • Self-sovereign architecture. If this is executed well, companies retain more control over their data and AI workflows instead of handing everything to a single SaaS vendor. The challenge, however, is enormous. Slack succeeded because everyone was already communicating there. GitHub succeeded because developers collaborated around code there. Buzz has to convince teams to change where work happens and how work happens. The network effects in enterprise software are brutal. Still, I think Jack Dorsey is betting on something bigger than chat. We’re moving from human-to-human collaboration to human + AI + AI collaboration. If every employee eventually has multiple AI agents working alongside them, today’s collaboration tools may start looking like email clients in a world that needs operating systems for autonomous work. Buzz might not replace Slack tomorrow. But it could be an early glimpse of what the workplace looks like when AI agents become first-class teammates instead of just assistants.