Multi Agent AI Broad Questions, Parallel Research
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Explains the use of multi-agent AI for broad questions and parallel research, using a lead architect and multiple agents
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So this question is uh what are all the companies in the United States working on AI agents in 2025? Make a list of at least 100. For each company include the name, website, product description of what they do, the type of agents they build and their vertical industry. Now at the surface, this is obviously a pretty beefy question. And the I would say the the thing that's happening here that's useful for this specific structure for multi- aents is that it's a broad question. They're asking about a variety of things and they're asking for multiple perspectives on that specific thing. So what happens is they send the question over to their agent architecture which where they have a lead architect. So a lead agent at the top that's orchestrating everything and they'll then send off this question broken into sub questions. So they'll send over the question, they create a plan, they create a bunch of sub questions and they send off these requests to multi multiple agents and they do it in parallel. And that's kind of the unique thing here that I
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