How to Get Valuable Answers from Neural Networks: An Article by Alexander Vysotsky for Marketer.ua

A new article by Alexander Vysotsky, co-founder of Business Booster, has been published on Marketer.ua, a portal for marketing and business technologies. The article raises a critically important question: how to correctly formulate queries for neural networks to receive truly useful answers, not just platitudes.

This material will serve as a genuine guide for entrepreneurs, marketers, and executives who want to integrate AI into their operations and avoid wasting time on ineffective technology use.

The article thoroughly examines three key criteria for effective interaction with neural networks:

• Broad Context. Neural networks don't work on a "guessing game" principle. They need a volume of data and clear objectives — only then do they provide results akin to consulting recommendations.
• Depth of Expertise. Artificial intelligence does not replace knowledge. It enhances the expert but is powerless before a novice. This is especially crucial in fields where mistakes are costly, such as finance, law, and marketing.
• Adaptability. Outdated approaches in the age of AI lead to obsolescence. At Business Booster, a dedicated team has been formed to test AI tools and implement only those that genuinely boost productivity.

Alexander shares specific case studies from his own practice: from marketing automation using Gemini to launching an AI-powered accounting startup in the USA. The same principle applies everywhere: not a templated request, but a precise task formulation with context, data, and a clear goal.

"AI is not magic. It's a mirror of your competence. The deeper the question, the more accurate the answer," Vysotsky emphasizes.

He also describes how the Business Booster copywriting team was able to achieve a new level of text quality by providing the AI with a strategic brief rather than just a "task." This saved resources and improved results: texts no longer required revisions, and the response from advertising campaigns increased.

This material is particularly important for those who want to do more than just "test neural networks" but rather integrate them into the systematic work of their company — from marketing to financial management.

📌 Read the full article on Marketer.ua: https://marketer.ua/ua/how-to-ask-neural-networks-questions-correctly-in-order-to-get-valuable-answers