Muse, Dots and Grok Bot: three different agent models
The author argues there won't be a single winner: Muse is a single persistent personal assistant, Dots a persistent generalist inside ChatGPT, and Grok Bot a multi-agent team.
Muse. Dots. Grok Bot. Everyone wants to know which one wins. My view? I don’t think this ends with one winner. All three are attacking the same huge opportunity from slightly different directions. Muse is positioning itself around the personal agent. One persistent AI that learns you, your goals and the apps you use, then works in the background on your behalf. Dots feels more like a persistent generalist inside ChatGPT. Give your dot ongoing responsibility, connect the tools it needs, and let it keep making progress between conversations. Grok Bot is taking a different approach: A team of always-on agents. Different Bots. Different jobs. Different responsibilities. Your own AI team. I can see all three earning meaningful market share because different people will prefer different ways of working with agents. But if one has the potential to creep ahead of the others, I think it could be Grok Bot. Not necessarily because the underlying AI will always be smarter. Because the organisational model makes a lot of sense. Real businesses don’t have one employee doing everything. They have: Sales. Operations. Engineering. Finance. Support. Management. As AI agents become more capable, I suspect a similar structure will emerge. Muse is centred around one personal agent. Dots is centred around one persistent agent owning ongoing work. Grok Bot is centred around building and managing a team of agents. There is plenty of room for all three. But of those three operating models, the Grok Bot approach currently interests me the most.