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Wow, the speaker's really coming in hot with that 'level zero' assessment. It's kind of a relief to hear that most of us probably aren't using Perplexity to its full potential, makes you feel less alone in that regard.

Okay, so this video is promising to lay out all four levels, and it sounds like we're going to see how the pros are really leveraging it for income and an edge. That initial setup of just typing a question and moving on, I definitely do that, so I'm eager to see what those 'key upgrades' are.

Breaking queries into goal, data, and constraints – that's a really smart way to think about it. It’s like building a mini-brief for the AI, making sure it knows exactly what you're after.

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The speaker argues that most users are only scratching the surface of Perplexity's capabilities, likening their usage to "level zero" [0:00-0:17]. True proficiency involves structured querying, breaking down requests into a goal, data sources, and constraints, a technique known as prompt engineering [0:34-0:52]. Furthermore, selecting the appropriate AI model is crucial for optimal results, with Claude excelling at writing and research, ChatGPT for complex reasoning and coding, Gemini for broad research, and Perplexity's Sonar model for rapid fact retrieval [1:09-1:44].

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