Chat, Code, Claw: What happens when AI agents work in teams
- 12 hours ago
- 1 min read
Recent AI progress can be divided into roughly three phases. First we had chatbots, designed to converse. Then, those chatbots became proficient at using tools, allowing them to do things like search the web and write code.
Now, thanks to a proliferation of new frameworks—notably the “OpenClaw” frame behind Moltbook’s virality—those tool-using agents can be orchestrated in fleets.
If a tool-using chatbot is like a single digital worker, these new frameworks are like virtual firms in which dozens of agents, running 24 hours a day, can be organized hierarchically to accomplish a given task.
For example, if you were trying to build a website or a digital product, you could use Claude Opus 4.6 (Anthropic’s best model) to oversee a team of smaller Claude Sonnet models as they go out into the web, perform market research, and write and run code.
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