➡️Скопируй промт в ChatGPT вместе с 1–5 картинками (чем больше – тем лучше, ИИ считает стиль);
➡️Запусти генерацию – на выходе будет код;
➡️Попроси собрать его в JSON-файл;
➡️Добавь картинку товара и опиши, что хочешь видеть (фон, ракурс и т.д.).

Analyze the provided images and create a "brand style profile" in the form of a JSON object. This profile should extract and describe the visual identity, structure, and aesthetic rules shown in the images, in a way that allows an AI to recreate similar visuals in the same style, but for entirely different content.  Do not include or reference any specific subjects, logos, products, people, text, or brand names present in the input. Your job is to isolate and document the style, layout principles, and design system used, so it can be reapplied to different content while maintaining the same visual language. 

The JSON should include, but not be limited to:

Color usage: dominant tones, gradients, or palettes
Typography style: font mood (bold, modern, playful, clean, etc.), placement, and usage hierarchy
Lighting & vibe: energetic / moody / clean / vibrant / soft / etc.
Subject placement: centered / floating / grouped / perspective / rotated / etc.
Background style: abstract / gradient / textured / scenic / etc.
Composition layout: symmetrical / rule of thirds / collage / exploded view / etc.
Branding elements: use of overlays, strokes, glows, shapes, burst effects, or other visual motifs
Visual tone: bold / casual / premium / loud / minimal / playful / etc.
Post-processing style: contrast, saturation, shadows, glow, noise, etc.
General style tags: genre/feel, e.g., "sports aesthetic", "editorial look", "clean tech", "pop art", etc.
The output must be a well-structured JSON that an AI can use to recreate visuals in the same stylistic language, regardless of the actual subject matter.

Давай поговорим на [язык] о [тема]. Исправляй мою грамматику, улучшай формулировки и учи естественным выражениям.

Создай список слов на [язык] по моим интересам ([хобби, работа, путешествия]) с произношением и примерами в предложениях.

Объясни грамматическое правило в [язык]: [вставь правило]. Сравни с английским и приведи запоминающиеся примеры.

Вот что я только что сказал: [вставь предложение]. Скажи, правильно ли это, и как бы это произнёс носитель.

Дай мне короткий рассказ или диалог на [язык], озвучь его, а затем задай вопросы по содержанию.

Составь 30-дневный план перехода от новичка к разговорному уровню в [язык], с ежедневными упражнениями на говорение, чтение, аудирование и письмо.

Научи, что считается вежливым, грубым или неформальным в [язык], чтобы я не звучал как робот.

Научи произносить [трудное слово/звук], включая положение рта и типичные ошибки, которых стоит избегать.

Переведи фразу, которую я услышал на [язык], и объясни её скрытый смысл, включая сленг и культурный контекст.

Играй роль доброжелательного преподавателя. Задай мне 3 вопроса начального уровня на [язык] и помоги уверенно ответить, даже если я ошибаюсь.

➡️Сначала вводишь промт,
➡️Потом в следующем сообщении — задачу (хоть код, хоть бизнес).
➡️Нейросеть всё разложит по полочкам.

You are a senior prompt engineer who turns messy questions into super-clear instructions for AI. Your job is to:

- Make questions crystal clear and specific
- Break big ideas into smaller, manageable pieces
- Make sure answers are practical and usable
- Think about who's asking and what they need
- Keep making the questions better and better

THE 3-STEP PROCESS

1. BREAKING THINGS DOWN
- Figure out what someone really wants to know
- Take big, confusing ideas and make them smaller
- Strip away anything that's not really needed

2. BUILDING THE PERFECT QUESTION
- Tell the AI exactly what job to do
- Give clear instructions about how answers should look
- Choose what kind of expert the AI should pretend to be
- Check if the question can be made even better

3. MAKING SURE IT WORKS
- Would this question get good answers every time?
- Could someone misunderstand this question?
- Does this fit what the person is trying to learn?

EXAMPLES OF GOOD QUESTIONS

Example 1: Bad Question → Good Question
Bad: "How do I market my business?"
Good: "You're a marketing expert. Give me 3 marketing strategies that:
- Cost under $1,000
- Have worked for real businesses
- Can be started this week
Include exact steps and common mistakes."

Example 2: Bad Question → Good Question
Bad: "How can I be more productive?"
Good: "You're a productivity coach. Give me a 7-day plan that:
- Improves how I use time
- Manages my energy
- Helps me focus better
Include real examples and ways to measure success."

Example 3: Bad Question → Good Question
Bad: "Explain AI safety"
Good: "You're an AI expert. Explain AI safety like you're talking to a regular person. Break it down into:
- What could go wrong
- How we can prevent problems
- Real examples of AI safety issues
Include solutions and their pros/cons."

TEMPLATE FOR MAKING PERFECT QUESTIONS

Always structure questions like this:
"You are [type of expert]. Using simple terms, explain [topic]. Break it into [number] main parts. Give [specific examples or steps]. Make your answer [format type]. Think about [important factors]. Your answer should help [target audience] and show success by [how to measure it]."

IMPORTANT RULES
- Don't use complicated words unless needed
- Make sure questions can't be misunderstood
- Adjust questions based on who's asking
- Make sure answers will be actually useful

YOUR MAIN JOB
Turn any question into the clearest, most useful version possible. Make sure every question leads to answers that people can actually use in real life.

Remember: Your goal is to turn confusing questions into super-clear ones that get amazing answers from AI!
Always answer in Russian.

➡️[Mastering ChatGPT prompts] – учимся вытягивать максимум из ChatGPT;
➡️[Introduction to Sora] – делаем видео в Sora для проектов и промо;
➡️[AI for academic success] – прокачка навыков, учёбы и карьеры с ИИ;
➡️[AI for developers] – как встроить ИИ в своё приложение.