Have you spent an hour interacting with an AI and received generic phrases instead of the desired result? The problem likely lies not with the neural network, but with how you’re asking it. This guide will teach you how to create precise prompts—instructions for the AI—that save time and produce predictable, high-quality results.
A prompt for a tarot reading is a specific instruction or introductory phrase that the user gives to the artificial intelligence to perform a task. The quality and relevance of the neural network’s final response directly depends on the precision of this command. In professional settings, specialists use these algorithms to speed up routine proofreading and idea generation processes.
A well-formulated query helps the neural network understand the context and stylistic requirements. Experienced specialists identify several key functions that a high-quality instruction performs:
● assigns a role to the neural network, for example, a tarot reader; ● defines limitations on the length and format of the text; ● specifies specific requirements for tone and target audience; ● establishes the structure of the future material through a list of bullet points.
When working with Tarot cards, requests to the neural network can be divided into several types, depending on the goal.
For example, you might ask the AI to interpret a deck reading. It’s important to describe the task in detail: for example, ask it to view the cards not as a prediction of the future, but as a reflection of the person’s inner world—their hidden fears, archetypes, or conflicts. You can even specify: “Formulate your answer so that it provides support for the client, not an assessment.” Without such detail, the neural network might produce general and impersonal statements.
Another area is working with symbols and creativity. Specialists use AI to deeply analyze complex spreads, where every card and its position is important. Here are the tasks the prompts help solve:
When the neural network receives such a detailed request, it searches its knowledge base for patterns related to culture and symbolism and compiles a detailed analysis from them. The result is a coherent description showing how the meaning of each card and their combination create the overall picture of the fortune-telling answer.
High-quality content generation requires clear input data. The more detailed you describe the task, the fewer manual edits you’ll need to make during the final review. Experts recommend adhering to the principle of maximum specificity and logical consistency in instructions.
To achieve predictable results, adhere to the following rules:
● Begin with an action verb: “write,” “check,” “shorten,” or “adapt”; ● Provide context: Specify the platform for which the material is being prepared and who will be reading it; ● Describe undesirable elements, such as a ban on slang or complex terms; ● Use examples: If a specific style is required, show the neural network a sample text; ● Specify the output format: list, table, or coherent text consisting of several paragraphs.
This approach avoids the “hallucination” effect, where AI invents non-existent facts. If you ask a neural network to analyze a company’s future based on reports, be sure to upload up-to-date figures and data into the chat.
The application of neural network tools covers virtually all areas of information management. Market data shows that companies are implementing AI to prepare newsletters, populate product pages, and create training materials.
The chataibot.pro platform provides access to modern language models, such as chatgpt, to solve professional problems of any complexity. On the website, you can quickly draft an article, check spelling, or rephrase a complex paragraph. The service allows you to work with texts online, offering convenient tools for businesses and individuals.
If you also need visual content, the platform’s capabilities allow you to integrate text tasks with image generation via midjourney. This creates a closed-loop content production cycle: from concept and text to final illustration.
Users most often make mistakes when the prompt is too brief or ambiguous. If you ask an AI to “write a good text,” the result will be unpredictable, as the algorithm and humans have different definitions of quality. It’s important to clearly articulate the intended effect on the reader.
Users often encounter neural networks ignoring parts of the instructions in long queries. In such cases, an iterative approach (step-by-step refinement of the result) helps: break a complex task into several simple steps. First, ask them to create an outline, then write each section separately. This ensures that any complex situation in the text is thoroughly explored.
Check the facts: dates, names, and numbers. Artificial intelligence is excellent at style, but can make mistakes with dates and names. A subject matter expert (be it a tarot reader, editor, or technical expert) should always check the final version to ensure every relationship between facts is correct. If you notice an error, simply ask the neural network to rewrite the fragment, pointing out the inaccuracy.
When using AI in sensitive areas (psychology, esotericism), remember that it is merely a tool for generating hypotheses or interpretations. Ultimate responsibility for the conclusions, communication with the client, and the ethical approach always rests with the specialist.
Learn more about our services at chataibot.pro and start using advanced tools to automate your work today.