Why choosing an AI assistant is scary
There are more new tools than you can try, and each one has big promises. Hence the feeling that an important decision needs to be made once and for all, and a mistake will be costly. In fact, the cost of error is almost zero: most assistants have free access, switching between them is a matter of minutes, and transferring your working style is even easier. Another much more dangerous thing is to get stuck in comparison and never start. Therefore, the first practical step is not to “choose the best forever”, but to take any available one and start solving the real problem. Understanding what suits you comes only with practice.
Comparison by task: text, code, pictures, data
Instead of asking “who is the best,” it is more useful to ask “the best for what.” For text - letters, articles, correspondence - universal chat assistants like ChatGPT and Claude are strong; style and the ability to keep a long context are important here. Tools built into a code editor, such as Copilot, are convenient for programming: they prompt you right as you work. Images require separate generative models, not text chat. To work with data, see if the assistant can read files and tables. Each tool has its own strengths, and the same person can easily use different ones for different tasks.
It's the transferable skill that matters, not the logo.
Note: in all tools you do the same thing - formulate the task in words, set the role and format, give an example, clarify the result. This is prompting, and it works the same everywhere. Having mastered it on one assistant, you can easily switch to any other - the button changes, not the skill. The same goes for fact checking: any model can be sure to be wrong, so important statements need to be double-checked regardless of the logo. Invest not in studying a specific product that will be updated in six months, but in the ability to think along with AI. This skill will stay with you, no matter what tool is at hand.
How to choose for yourself in five minutes
Reducing the choice to a simple checklist helps faster than reading reviews. First, name the main task: write texts, work with code, take pictures or parse data. Then check the language to see if the assistant understands your native language, if that's more convenient for you. Look at access: is there a free plan and does it require a payment method that is not available in your country. Assess your privacy: what happens to your data. Finally, try one real task and compare the sensation. After five minutes of practice, you will learn more about the tool than from a dozen articles with ratings.
LearnAI teaches a skill, not just one tool
That's why LearnAI doesn't tie you to a specific assistant. We teach transferable basics - how to clearly define a problem, dialogue with a model, check facts and bring the result to the desired quality. These techniques work in any tool you choose today or in a year. Training is provided in 18 languages, and an Aura mentor helps you understand your native language and answers questions along the way. You start with real tasks and immediately see how the skill transfers from one assistant to another. You can try it for free, and send questions to support@learnaiskills.cloud.