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Wow, it's so true that many of us are using these AI tools like Gemini or ChatGPT, but we're basically just chatting with them back and forth, which totally defeats the purpose of saving time. It's like we're creating more work for ourselves instead of less.

Okay, so custom assistants, or 'gems' as they're calling them here, are the key to actually automating things and having the AI work for *us*. That makes so much sense; it's about building a system rather than just asking questions.

So, Google Gemini itself is free to access, which is great. It's interesting that they highlight the connection to Google and YouTube ownership as a reason for better results, that's a smart point for building trust.

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Many users are employing large language models like Google Gemini inefficiently, spending excessive time on back-and-forth prompts [0:00]. This approach is particularly detrimental for individuals or small teams running online businesses, as it hinders productivity rather than enhancing it. The solution lies in utilizing custom assistants, referred to as "gems" in Gemini, to build automated systems that work for the user, a concept introduced early in the discussion [0:30].

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Google Gemini Gems: The 90% - AI Video Analysis

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