The idea is that the user describes a specific outcome—something like "plan and execute a local digital marketing campaign for my restaurant" or "build me an Android app that helps me do a specific kind of research for my job." Computer then ideates subtasks and assigns them to multiple agents as needed, running the models Perplexity deems best for those tasks.
不過，台灣社會的氛圍近期開始出現變化。以戒嚴時期政治懸案為題材的電影《世紀血案》引發爭議，加上台北101董事長賈永婕等名人高調倡議要認識歷史，帶動了一股「台灣史補課潮」，希望彌補「集體遺忘」。不僅二二八與白色恐怖相關書籍熱賣，國家人權博物館也在過年期間湧入比去年多五倍的人潮。
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Finding these queries requires a different research approach than traditional keyword research. Rather than using tools that show search volume and competition metrics, you need to understand what questions your target audience actually asks AI models. This means thinking about their problems, concerns, and information needs, then formulating those as conversational queries. Tools like an LLM Query Generator can help by analyzing your content and suggesting relevant questions people might ask to find that information.