If there is a ranking for using AI tools, are you bronze or king?

Unconsciously, whether actively or passively, various AI tools have entered our field of vision.

Many people use AI tools every day, but the same AI tools produce different results in the hands of different people, and the effects may even be completely different.

For some people, AI tools are like a dragon-slaying sword. AI empowers work, life, making money, solving various problems, and overcoming all obstacles along the way.

For most people, AI tools are like a fruit knife that can only be used for peeling fruits or even like a rusty pencil sharpener that is awkward to use.

If there are levels for using AI tools, then are you bronze or king?

When you get an AI tool in your hands, is it a scratching claw through your shoes, or a magic stick with changeable functions?

1. Bronze Player

●  Features: Colloquial questions, basic questions and answers;

●  Case: Help me write a summary, how to make money with AI?

●  Tools: large models such as Kimi, Doubao, Yuanbao, DS, etc.

●  Solve the pain point: self-touching.

At this stage, AI tools are used like Baidu search, but in reality they are not as good as Baidu. Apart from the self-satisfaction of being full of joy, it does not seem to solve any practical problems more quickly. The output results of AI are highly random, like opening a blind box.

But this does not seem to affect my self-admiration at all. I often talk about AI with my friends. I tried DeepSeek. AI is so powerful, incredible, incredible!

If you fool AI, AI will also fool you.

2. Silver Player

●  Features: structured prompt words, framework questions;

●  Case: [Role] + [Background] + [Task] + [Requirement] Question;

For example: You are a parenting expert who is proficient in child psychology. My 6-year-old boy has been hitting people recently. Please analyze the reasons for me and develop improvement measures. You are required to combine the analysis with real cases, and the measures should be simple and feasible, and output in Markdown format.

●  Tools: large models such as Kimi, Doubao, Yuanbao, DS, etc.

●  Solve pain points: Achieve accurate demand translation and improve the accuracy of AI content output;

At this stage, you will gradually break through the inefficient cycle of vague requirements , and you will feel that your AI understands you better. You will change from a simple questioner to a designer of high-quality questions.

Imagine your boss calls you to his office and tells you: "Xiao Li, give me a research report before leaving get off work. There is no background and no specific requirements. What are you going to do?" AI is indeed an expert with a wealth of knowledge, but you have to tell him clearly what you need and what you want.

After mastering the framework prompt words, your rusty fruit knife becomes a Swiss Army knife. The framework instructions are like mysterious magic, releasing more hidden capabilities of AI. Of course, the above cases are just examples. You need to learn more targeted AI prompt words.

Bronze players are still waiting for AI to feed them, but you can already write recipes for AI and let the AI ​​chef cook according to your taste.

You understand AI better, and AI understands you better.

3. Gold Player

●  Features: Multimodal AI tools are used in tandem;

● Case: [Tencent ima calls DeepSeek to generate spoken text] + [Conch AI generates spoken audio for text] + [Doubao generates character image] + [Jimeng lip syncing to generate spoken video] + [Silhouette routine operations] + [Feishu multi-dimensional tables for data visualization analysis]. Without leaving the country, shooting or speaking, a short video will come out, and data visualization analysis can also be performed. The key is that these basic functions are free. 

●  Tools: Multimodal models such as text generation model, image generation model, sound generation model, video generation model, data visualization model, etc.

●  Solve pain points: content production efficiency is greatly improved;

At this stage, you are like a commander, responsible for thinking about strategic issues and then commanding thousands of troops to fight for you. Your combat effectiveness and production efficiency will be greatly improved.

Of course, it is not an easy task to command these brave and skilled generals. The generals are generally hot-tempered and have distinct personalities.

You have to repeatedly practice your command ability and constantly polish the prompts of various models.

AI ignores you, but you are full of affection for AI.

4. Diamond Player

●  Features: Workflow packaging, automated Agent deployment;

● Cases: Intelligent customer service agent, e-commerce marketing agent, industry knowledge agent, tool integration agent; 

●  Tools: Button, dify, FastGPT, Tencent Yuanqi, Tiangong SkyAgents, etc.;

●  Solve pain points: say goodbye to switching between multiple platforms and improve overall team efficiency.

At this stage, a person who does not need to master programming can also develop AI applications and solve specific problems by encapsulating various AI tools. It has been upgraded from "using AI yourself" to "making AI a new employee of the organization". At this time, AI no longer gives you suggestions, but makes decisions for you directly.

Unlike the gold level, after the Agent is deployed, there is no need to switch between multiple platforms and multiple applications. One dialog box can solve multiple problems.

In my opinion, Manus, which became popular a few days ago, is based on this idea, but the AI ​​tools it packages are more powerful and can solve more problems.

Of course, there is no comprehensive general AI agent at present. Personally deployed agents are also based on traditional large models + specific tools to achieve specific functions, which is not too amazing.

However, this is the trend. In the future, there will definitely be more products similar to or even surpassing Manus.

You are responsible for traveling and AI makes money for you to support your family.

4. The Strongest King

●  Features: Private deployment, cloud deployment, API ecosystem, and building an AI creator;

● Case: Tencent Yuanbao connected to DeepSeek, Shenzhen launched AI civil servants; 

● Tools: DeepSeek open platform, Zhipu OpenAPI, Alibaba Cloud PAI, Huawei ModelArts;

●  Solve pain points: control data sovereignty, empower AI verticals, and prevent traditional enterprises from using external tools;

At this stage, AI no longer seems to be a tool, but a decision-making entity that is integrated into the DNA of individuals or organizations. Humans only need to set the boundaries of the rules, and AI will complete the entire process autonomously.

Take a look at Tencent Yuanbao. Yuanbao, which was mediocre before, was revived immediately after being connected to DeepSeek. It integrated the WeChat ecological data and used the power of DeepSeek to help itself take off. This wave is simply 666.

Diamond players are still recruiting new AI employees, while king players are directly upgraded to creators and start creating things like Nuwa.

Writing this, I feel a little uneasy.

I have no idea,

If one day, the cost of API calls is greatly reduced, the cost of using general AI Agents is lower than the labor cost, and the cost of Yushu's high-end robots drops to a level that everyone can afford, just like cars did in the past, will AI work for people, or will people work for AI?

Furthermore, if humans are working for AI, what can we do for AI?