3 6 Ke·2025-11-18 23:15Core Insights - The article discusses how to maximize the value of AI tools, emphasizing the importance of understanding user patterns and selecting the right AI model based on specific needs [1][3]. Group 1: AI Model Selection - Users have approximately nine choices for advanced AI systems, including Claude by Anthropic, Gemini by Google, ChatGPT by OpenAI, and Grok by xAI, with several free usage options available [3][4]. - For those considering paid accounts, starting with free versions of Anthropic, Google, or OpenAI is recommended before upgrading [4][6]. - The article highlights the differences in capabilities among AI models, such as web search efficiency, image creation, and handling complex tasks, which should guide user selection [4][7]. Group 2: Advanced AI Features - Advanced AI systems require monthly fees ranging from $20 to $200, depending on user needs, with the $20 tier suitable for most users [6][7]. - The article outlines the distinctions between chat models, agent models, and wizard models, recommending agent models for complex tasks due to their stability and performance [9][10]. - Users can choose specific models within systems like ChatGPT, Gemini, and Claude, with options for deeper thinking and extended capabilities [11][13][14]. Group 3: Enhancing AI Output - The article emphasizes the importance of "deep research" mode, which allows AI to conduct extensive web research before answering, significantly improving output quality [16][18]. - Connecting AI to personal data sources, such as emails and calendars, enhances its utility, particularly noted in Claude's capabilities [18]. - Multi-modal input options, including voice and image uploads, are available across various AI platforms, enhancing user interaction [19][20]. Group 4: Future Trends and User Engagement - The article predicts an increase in AI usage, with 10% of the global population currently using AI weekly, suggesting that user familiarity will evolve alongside model improvements [24]. - Users are encouraged to experiment with AI capabilities to develop an intuitive understanding of what these systems can achieve [24]. - The article warns against over-reliance on AI outputs, as even advanced models can produce errors, highlighting the need for critical engagement with AI responses [26].