How neural networks work
Capabilities, limitations and choosing the right tool.
Practical book · already available
A step-by-step guide to working with neural networks and creating AI agents — from confident dialogue with a model to your own digital helper.

For practice, not for the shelf
The book explains neural networks without unnecessary theory and walks the reader through increasing levels of complexity: from choosing a tool and writing a strong prompt to designing an assistant that works with role, context and tasks.
Examples can be repeated as you read — no special technical background is required.
WildberriesOpen listing ↗Contents
Capabilities, limitations and choosing the right tool.
Context, role, task, format and quality criteria.
Techniques for precise and useful responses.
Analysis, ideas, documents and editing.
Use-cases beyond a standard chat.
Role, memory, instructions and a working loop.
Planning, tools and result verification.
Quality, confidentiality and the boundaries of automation.
Who will find it useful
Managers and business owners — to see practical scenarios and set clear tasks for AI.
Professionals — to prepare materials faster, research and work with information.
Authors and product creators — to use AI in text, visuals and design.
Beginners — to progress step by step without a technical barrier.
Book available
The book is published in Russian. The printed edition can be ordered from Russian marketplaces.