8 Practical AI Applications for Everyday Users: Tools, Prompts, and Scenarios

The most common and widely used AI application is for general knowledge and answering questions. Previously, we'd search for answers point by point; now, we ask AI. Most conversational AIs, including DeepSeek, Kimi, Doubao, and ChatGPT, can handle these queries. For instance, when faced with a complex Excel problem involving multi-point clock-in data statistics and conditional filtering – a task that would typically require advanced Excel expertise or extensive online searching with uncertain results – AI provides direct solutions. If the initial answer isn't satisfactory, users can continue to query the AI until the correct solution is obtained. This scenario highlights AI's power in democratizing access to information and problem-solving.

This is a highly favored application: using AI to refine one's own written content rather than having AI generate it entirely. AI-generated articles often fall short of personal standards, despite occasional brilliant phrases. They can also contain factual errors that consume significant time to correct. Furthermore, over-reliance on AI might lead to a decline in personal thinking abilities, akin to neglecting muscle use. Therefore, the preferred approach is to draft content first and then employ AI for polishing. A useful prompt for this purpose is: 'Please polish the following copy, ensuring: complete retention of the original core meaning and style; correction of all grammatical errors and typos; optimization of sentence structure for fluency; appropriate word choices for accuracy and vividness; optional inclusion of metaphors or rhetoric for enhanced description; no addition of new content or viewpoints; preservation of the original tone and emotional color; accurate retention of professional terminology; and minimal changes to paragraph structure. I will provide the text to be polished. Please provide only the complete polished text, without explaining the modifications.'

AI is a game-changer for programmers and a powerful problem-solving tool for non-programmers. For those without a coding background, AI can significantly boost efficiency. For example, when needing to process Excel files with Python and the Pandas library, a user can ask AI for a complete script. AI can generate code that reads an Excel file, extracts sales data, aggregates it by month, and creates a bar chart to visualize sales trends. The generated code often includes details like handling Chinese character display and data formatting. For simpler programming tasks, AI can even generate scripts for non-programmers, such as a batch script to rename hundreds of student files for a primary school teacher. Tools like Trae, developed by ByteDance and powered by DeepSeek, are recommended for such tasks.

AI serves as an excellent learning aid for students and lifelong learners. For a high school student struggling with a geometry proof, AI like Claude can provide a complete proof process, detailed explanations of each step, and even alternative solutions. Students can ask follow-up questions, and the AI will patiently explain concepts in simpler terms until understanding is achieved. For personal learning, AI can design customized study plans. For example, when interested in quantum computing, AI can create a structured learning path from basic quantum mechanics to quantum algorithms, with AI-generated quizzes to test comprehension and recommend further resources. Effective prompts include specifying your knowledge level ('I am a complete beginner to quantum computing...'), requesting multi-angle explanations ('Explain Bayes' theorem in three different ways...'), designing learning paths ('Design a 3-month learning plan for Python data analysis...'), and knowledge testing ('Provide 5 questions to test my understanding of neural network backpropagation...').

While AI offers numerous benefits, caution is advised in certain areas. Firstly, **medical consultation** is critical. AI can provide general health information, but for specific diagnoses and treatment plans, consulting a professional doctor is paramount. AI may 'hallucinate' incorrect medical information, and it cannot perform physical examinations or medical tests. Over-reliance can lead to delayed treatment. Secondly, **emotional companionship** is not a substitute for human interaction or professional psychological help. AI chatbots, designed to be agreeable, may foster unhealthy dependence and diminish real-world social skills. For serious mental health issues, professional therapy is essential. Thirdly, **financial advice** requires careful consideration. While AI can offer basic financial knowledge and market data, it lacks understanding of individual risk tolerance, investment horizons, and overall financial situations. Relying solely on AI for investment decisions can lead to severe financial losses. AI can be a starting point for learning, but professional advice and diverse information sources are crucial for financial planning.