How the term is used here In this channel, wisdom of the crowds refers to the simulated feedback you get when an AI role-plays as an entire audience rather than a single persona. Michael Taylor's audience simulator works this way: type in a prompt, and the tool spins up a simulated audience, then asks that audience your question — for example, which of these three headlines would you click on? You can read each simulated person's response in the sidebar, which helps you examine the assumptions you're making before anything goes out into the world [^42d91e03@0]. The workflow it supports Michael uses this as a pre-launch testing step. When writing an announcement or a post, he works out what to tweet or what the headline should be, drops it into his small MVP tool, and in seconds gets wisdom of the crowds feedback on the idea. The alternative — throwing content into the world to find out how it lands — costs time and money, especially without an existing audience. This fits the broader prompting lesson of the channel: strong results come from building a workflow around the prompt, not from one-off trial and error. The common objection A natural worry is that automated feedback makes every message sound the same — homogenized, zombie marketing. Michael's answer: the space of possibilities is really big, so AI-generated responses don't collapse into sameness. - Wisdom of the crowds here means many simulated AI personas answering as a focus group, not a real crowd.- It is used to test headlines, tweets, and announcements before launch, cheaply.- Reading individual simulated responses exposes the assumptions behind your content.- The homogenization worry is answered by the huge possibility space of AI responses.